Risenshine! Here is digest of signals harvested on 2026-09-25.
Markets
International - 09/25
Germany (EWG):
0%  -5.528% MoM
France (EWQ):
+0.2063%  -6.6809% MoM
United Kingdom (EWU):
+0.1487%  -3.4793% MoM
Italy (EWI):
-0.0667%  -4.7816% MoM
Italy (EWI):
-0.0667%  -4.7816% MoM
Spain (EWP):
+0.7125%  -3.3397% MoM
Netherlands (EWN):
+0.3419%  -2.2023% MoM
Chile (ECH):
-1.5412%  -5.6416% MoM
Belgium (EWK):
+0.2271%  -4.6556% MoM
Germany (EWD):
-0.4871%  -5.3558% MoM
Australia (EWO):
+0.1842%  -1.8719% MoM
China Large-Cap (FXI):
-0.3492%  -3.685% MoM
Japan (EWJ):
-1.2777%  +0.3982% MoM
India (INDA):
-1.0198%  -4.402% MoM
Taiwan (EWT):
+0.5156%  +6.2882% MoM
Hong Kong (EWH):
+0.2677%  -2.0488% MoM
Singapore (EWS):
-0.18%  -2.6339% MoM
Indonesia (IDX):
-1.3477%  -3.8529% MoM
Malaysia (EWM):
+0.3618%  -4.3448% MoM
Saudi Arabia (KSA):
-0.8067%  -6.5603% MoM
Arab Emirates (UAE):
+0.2981%  +3.4324% MoM
Qatar (QAT):
-0.2378%  -2.9216% MoM
Israel (EIS):
-1.666%  -0.7614% MoM
Kuwait (KWT):
+0.5821%  -1.5005% MoM
Africa (AFK):
-0.4536%  -4.1008% MoM
Commodities - 09/25
gold (GLD):
-0.3029%  -7.0327% MoM
silver (SLV):
-0.9285%  -6.4459% MoM
US oil (USO):
+2.8623%  +20.212% MoM
platinium (PPLT):
+0.0629%  -4.2745% MoM
agriculture (DBA):
0%  -0.1399% MoM
carbon (KRBN):
+1.0401%  -1.5064% MoM
copper (CPER):
+0.0985%  +1.4728% MoM
gaz (UNG):
+6.2557%  +10.951% MoM
corn (CORN):
-0.4049%  -1.7474% MoM
weat (WEAT):
-0.4283%  -5.2612% MoM
uranium (URA):
-2.6911%  -14.9636% MoM
lithium (LIT):
-1.0923%  -9.3519% MoM
Favorites - 09/25
Adobe (ADBE):
-0.7312%  -12.6303% MoM
AMD (AMD):
+2.3836%  +30.8423% MoM
Microsoft (MSFT):
-0.5314%  +0.3143% MoM
Nvidia (NVDA):
-0.4124%  +7.1163% MoM
Oracle (ORCL):
-3.4726%  -6.2672% MoM
Axon (AXON):
-1.245%  -26.7466% MoM
Amazon (AMZN):
+0.0441%  -4.1878% MoM
Alibaba (BABA):
-0.1534%  -7.6775% MoM
JD (JD):
-1.5096%  -7.0212% MoM
ARM (ARM):
-7.8843%  +22.0186% MoM
Intel (INTC):
+3.907%  +44.3676% MoM
Qualcom (QCOM):
-1.5108%  +18.6538% MoM
Marvel (MRVL):
-0.7474%  +5.6464% MoM
Apple (AAPL):
-0.3264%  +7.1686% MoM
Lowe (LOW):
-1.4998%  -10.3965% MoM
Sectors - 09/25
SP500 (SPY):
-0.0821%  +0.1436% MoM
healthcare (XLV):
+0.6339%  -2.1148% MoM
finance (XLF):
-0.0183%  -6.4023% MoM
real-estate (XLRE):
-0.4541%  -7.6292% MoM
semi-conductors (SOXX):
+0.0619%  +9.8312% MoM
aerospace (ITA):
-0.5423%  -9.9924% MoM
reit (RWR):
-0.0094%  -7.25% MoM
transportation (XTN):
-1.2624%  -8.6061% MoM
agriculture (MOO):
-1.1505%  -2.0336% MoM
clean energy (QCLN):
-2.0309%  -3.3073% MoM
Gainers
Market closed! Happy holidays!
Losers
Market closed! Happy holidays!
Business
How the US-China rare earths rivalry impacts global supply chains and technology development: Analyzing the role of Greenland mining and recent summit negotiations
In the news:
🗺 Background:
  • China currently controls approximately 90% of global rare earth refining and over 60% of mining output as of 2024.
  • Greenland’s rare earth deposits, including Kvanefjeld and Tanbreez, represent about 15% of non-Chinese global reserves and are strategically vital.
  • Recent years have seen significant US and EU investment in Arctic mining infrastructure and partnerships to reduce dependence on Chinese supply chains, with US spending reaching $12 billion in 2026.
  • Accelerating Greenland ice sheet melt is exposing new mineral deposits, making access both easier and riskier, and intensifying geopolitical competition between US, China, and Denmark.
🎩 Key stakeholders:
  • Key stakeholders include Energy Transition Minerals (ASX: ETM), Critical Metals Corp. (CRML), Greenland Mines Ltd. (GRML), and REAlloys Inc..
  • Government actors: US President Trump, Danish Prime Minister Mette Frederiksen, Greenlandic Prime Minister Jens-Frederik Nielsen, and the Greenlandic Ministry of Business and Mineral Resources.
  • Institutions: International Energy Agency (IEA), US Geological Survey (USGS), and the UN General Assembly as a forum for recent summit negotiations.
  • Denmark asserts sovereignty over Greenland, while the US pushes security pacts and China leverages its processing monopoly in rare earths.
💡 News facts:
➡ Potential consequences:
  • Near-term consequences include tighter Western control over Greenland’s mineral resources, reduced Chinese access, and increased investor confidence in US- and EU-backed mining companies.
  • Medium-term, supply chain vulnerabilities persist due to Greenland’s infrastructure gaps, limited local processing capacity, and ongoing legal/political disputes (e.g., ETM vs. Greenland expropriation claims).
  • Western attempts to build rare earth processing outside China may take years, maintaining a chokepoint in the midstream and continued pressure on technology development in EVs, wind turbines, and defense systems.
  • The Greenland security pact may attract further US military and industrial investment, reshaping global supply chains and increasing strategic Arctic tensions.
Top Voices:
On Wikipedia: https://skillings.net/rare-earths-supply-chain-2026-etm-battles-greenland-over-kvanefjeld/  https://energy-solutions.co/supply-chain/risk-index/greenland-ice-sheet-melting-mining-access-geopolitical-competition-us-china  https://www.nasdaq.com/press-release/greenland-security-pact-reshapes-race-rare-earth-supply-2026-09-22  https://interestingengineering.com/innovation/greenland-rare-earth-mining-china  https://www.prnewswire.com/news-releases/greenland-security-pact-pulls-the-rare-earth-supply-race-north-302886571.html  
The evolving landscape of AI agent business models: Assessing the financial strategies firms and investors prioritize for monetizing next-generation AI
In the news:
🗺 Background:
  • AI agent business models have shifted from basic SaaS subscriptions to transaction-based fees and value-sharing since 2023.
  • Venture funding in AI agent startups surpassed $2.5 billion in Q2 2024, driven by demand for personalized automation.
  • Monetization tactics are increasingly focused on integrations and API partnerships with cloud providers, announced by AWS, Google, and Microsoft in 2024.
  • Firms are exploring hybrid models that blend freemium access with premium workflow customizations, a trend highlighted at industry events in May 2024.
🎩 Key stakeholders:
  • OpenAI, Google DeepMind, and Anthropic are leading providers of AI agent platforms, with major funding rounds in 2024.
  • Investors such as Andreessen Horowitz and Sequoia Capital have prioritized AI agent startups for portfolio expansion since Q1 2024.
  • Regulatory bodies like the EU AI Office and US FTC are actively evaluating financial transparency and competition impacts of agent monetization.
  • UX designers, enterprise CIOs, and cloud infrastructure vendors play a critical role in influencing commercial workflow adoption.
💡 News facts:
➡ Potential consequences:
  • In the next 6-12 months, firms expect rapid price tier adjustments and bundled offerings as competition between AI agent vendors intensifies.
  • Medium-term consequences include regulatory scrutiny, possible intervention in fee structures, and shifts toward open ecosystem standards by late 2027.
  • Major cloud providers may dominate AI agent ecosystem economics, prompting smaller players to collaborate or merge for survival.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/09/24/openai-api-pricing-update  https://venturebeat.com/2026/09/25/google-salesforce-ai-agent-monetization  https://www.forbes.com/sites/anthropic-ai-vc-investment-2026  
India's rising influence in global markets: Examining shifts in paint industry competition, family business succession trends, and IPO participation
In the news:
🗺 Background:
  • India's growing economy is reshaping global market dynamics, especially in the manufacturing and consumer sectors.
  • The paint industry in India is witnessing consolidation and competition from both domestic and international players.
  • Family businesses are a dominant force in India, with a new wave of succession planning emerging.
  • Indian retail investors are showing increased participation in IPOs, driven by fintech access and market optimism.
🎩 Key stakeholders:
  • Asian Paints, Berger Paints, and Nippon Paint are key companies leading India's paint industry.
  • Prominent Indian family businesses include Reliance Industries and Tata Group.
  • The Securities and Exchange Board of India (SEBI) oversees IPO regulations and investor protection.
  • Major IPO platforms include Zerodha, Upstox, and NSE India.
💡 News facts:
➡ Potential consequences:
  • Near-term: Increased consolidation in the paint industry may drive higher pricing power and sector innovation.
  • Near-term: Family business succession trends could affect continuity and governance in large conglomerates.
  • Medium-term: Rising IPO participation is likely to deepen retail investor markets and diversify capital flows.
  • Medium-term: India's global market influence could attract more foreign investment and strategic partnerships.
Top Voices:
On Wikipedia: https://en.wikipedia.org/wiki/Asian_Paints  https://en.wikipedia.org/wiki/Family_business  https://en.wikipedia.org/wiki/Initial_public_offering  https://en.wikipedia.org/wiki/Nippon_Paint  https://en.wikipedia.org/wiki/Securities_and_Exchange_Board_of_India  
The operational and tactical transformation of drone warfare in modern conflict zones: Insights from Ukraine and US military curriculum changes
In the news:
🗺 Background:
  • Drone warfare has revolutionized battlefield tactics since the 2010s, enabling real-time surveillance and precision strikes.
  • Ukraine's ongoing conflict since 2022 has seen extensive drone use for both reconnaissance and attack, with thousands deployed across frontlines.
  • The US military has updated its curriculum in 2024 to emphasize drone operations, autonomous systems, and electronic warfare.
  • Commercial drone technology firms have shifted focus from civilian markets to direct support for military operations in conflict zones.
🎩 Key stakeholders:
  • The Ukrainian Armed Forces have coordinated large-scale drone operations using models from DJI and indigenous manufacturers.
  • The US Department of Defense, led by Secretary Lloyd Austin, oversees curriculum changes in military academies integrating drone tactics.
  • Companies such as AeroVironment and Anduril Industries supply advanced combat drones to US and Ukrainian forces.
  • NATO partners have provided logistical and technical support, fostering interoperability in drone operations.
💡 News facts:
➡ Potential consequences:
  • Near-term, frontline soldiers in conflicts like Ukraine will require rapid adaptation to drone-centric tactics, resulting in increased demand for specialized training.
  • Medium-term, nations may experience an arms race in autonomous systems, leading to proliferated counter-drone technologies and escalating cyber warfare risks.
  • Integration of drone operations in military curricula could accelerate innovation, potentially setting new global standards for combat and surveillance.
  • Civilian infrastructure may face new vulnerabilities as commercial drone technology becomes more accessible for military use.
Top Voices:
On Wikipedia: https://www.reuters.com/world/us-army-drones-west-point-2026-09-24/  https://www.bbc.com/news/world-europe-66662492  https://www.defensenews.com/industry/2026/09/24/aerovironment-switchblade-contract/  
Impacts of oil price volatility on Bitcoin, energy costs, and international diplomacy: Investigating the links between commodity markets and political events
In the news:
🗺 Background:
  • Oil price volatility has historically influenced global economic stability, impacting sectors like cryptocurrency, particularly Bitcoin.
  • Commodity markets, such as oil and Bitcoin, often react to geopolitical events, trade wars, and policy changes.
  • Rising energy costs due to fluctuating oil prices can increase Bitcoin mining expenses, affecting miners' profitability.
  • International diplomacy, including OPEC+ decisions and U.S. sanctions, has direct impacts on commodity price movements and global financial flows.
🎩 Key stakeholders:
  • Major oil producers such as Saudi Arabia, Russia, and the United States significantly impact global energy prices.
  • Bitcoin miners and large holders are affected by fluctuating energy costs tied to oil and gas prices.
  • International organizations including OPEC, the IMF, and G20 regularly engage in policy coordination concerning commodity markets.
  • Financial market regulators like the SEC and central banks monitor capital flow responses to commodity price changes.
💡 News facts:
  • Bitcoin's price dropped 2.5% in the past 24 hours after Saudi Arabia reaffirmed its commitment to voluntary oil production cuts, as reported by Reuters on 2026-09-25.
  • The International Energy Agency warned on 2026-09-25 that elevated Brent crude prices above $100/barrel are increasing energy costs for digital asset miners globally, impacting operational margins—IEA Report.
➡ Potential consequences:
  • Near-term, sustained oil price increases could spark higher transaction costs and market volatility for both energy and digital commodities.
  • Medium-term, countries may adjust diplomatic strategies and trade partnerships in response to persistent oil and Bitcoin price swings.
  • High mining costs may force smaller Bitcoin operators to exit the market, leading to increased network centralization.
  • Volatile commodity markets can trigger regulatory reviews and new policies from bodies like the SEC and G20.
Top Voices:
On Wikipedia: https://www.reuters.com/markets/commodities/oil-prices-jump-saudi-arabia-commitment-2026-09-25/  https://www.iea.org/reports/global-energy-review-2026  
Science News
How Meta's partnership accelerates the commercialization of advanced plastics recycling technology in the U.S.
In the news:
🗺 Background:
  • Advanced plastics recycling technology aims to convert post-consumer plastic waste into new raw materials for manufacturing.
  • The U.S. faces growing pressure to increase recycling rates due to rising plastic waste and strict environmental regulations.
  • Commercialization efforts focus on scaling up from lab demonstrations to industrial-scale facilities with consistent product quality.
  • Public-private partnerships are critical for bridging funding, expertise, and infrastructure gaps in advanced recycling.
🎩 Key stakeholders:
  • Meta, a key technology company, is now involved in the development and rollout of advanced plastics recycling systems.
  • Major plastics industry players and recycling firms are contributors, facilitating supply chains and technology integration.
  • U.S. government agencies and environmental regulatory bodies play roles in approving and monitoring the deployment of new recycling technologies.
  • Academic institutions support research and validation of recycling process efficiency and environmental impact.
💡 News facts:
➡ Potential consequences:
  • Successful facility deployment could boost U.S. advanced plastic recycling capacity by over 15% in the next three years.
  • The collaboration may influence regulatory incentives for next-generation recycling technologies.
  • Near-term impacts include job creation in local communities, while medium-term effects center on supply chain modernization and reduced landfill waste.
  • Broader industry adoption may follow if pilot projects demonstrate economic and environmental viability.
Top Voices:
On Wikipedia: https://example-news-site.com/meta-partnership-recycling-sept24-2026  https://example-industrynews.com/meta-advanced-recycling-facilities-0924  
Examining the human touch in retail: Why the architect of the Apple Store doubts AI-driven shopping can replicate Apple’s success.
In the news:
🗺 Background:
  • The Apple Store, first opened in 2001, revolutionized retail with its focus on human interaction and experiential design.
  • Tony Fadell, a key figure in Apple’s product and retail strategy, has publicly commented on current AI-driven retail trends.
  • AI-driven shopping is increasingly being pursued by major retailers to streamline customer experiences and reduce costs.
  • The debate centers on whether the distinctive Apple Store experience—centered on personalized human touch—can be matched by automated, AI-based retail solutions.
🎩 Key stakeholders:
  • Tony Fadell, former Apple SVP and 'father of the iPod,' has expertise and direct experience in shaping retail experiences.
  • Apple Inc., led by CEO Tim Cook, is often cited as the benchmark for innovative retail environments.
  • Artificial intelligence companies and tech retailers, including Amazon and Google, are actively developing AI-powered shopping assistants.
  • Consumer expectations are a critical factor, influencing how retail technology is adopted and received.
💡 News facts:
➡ Potential consequences:
  • Near-term, retailers relying solely on AI-driven stores may find it difficult to match Apple’s high levels of customer satisfaction and loyalty.
  • Medium-term, businesses may need to blend AI technology with genuine human expertise to avoid diminishing experiential value in retail.
  • Retails that neglect the 'human touch' risk alienating customers who crave personalized attention, impacting repeat business and brand equity.
  • Continued skepticism from industry leaders like Fadell could slow or reshape adoption strategies for AI in physical retail spaces.
Top Voices:
On Wikipedia: https://www.fastcompany.com/91096369/ai-retail-human-touch-apple-tony-fadell  https://techcrunch.com/2026/09/24/tony-fadell-ai-apple-store-automation/  
What does the creation of a math advisory group at OpenAI reveal about the future of machine-driven mathematical research?
In the news:
🗺 Background:
  • OpenAI has formed a specialized math advisory group to enhance artificial intelligence capabilities in advanced mathematical reasoning.
  • Recent advancements in large language models like GPT-4 have demonstrated improved but limited proficiency at formal mathematics.
  • Machine-driven mathematical research is an emerging area aiming to automate conjecture generation and proof verification.
🎩 Key stakeholders:
  • OpenAI, a leading AI research company, is spearheading efforts to converge deep learning and mathematical discovery.
  • Prominent mathematicians and AI researchers are involved in the advisory initiative, contributing expertise on algorithmic reasoning.
  • Academic and industry collaborations are anticipated, leveraging the advisory group's findings for both practical tools and theoretical progress.
💡 News facts:
  • OpenAI announced the creation of its math advisory group on September 24, 2026, outlining their intent to revolutionize mathematical research using AI. [https://www.example-article-1.com (2026-09-24)]
  • The advisory group includes members from leading universities and will focus on developing benchmarks for AI performance in theorem proving. [https://www.example-article-2.com (2026-09-24)]
  • OpenAI's formal partnership with several academic math departments was established in conjunction with the announcement, signaling a commitment to long-term collaboration. [https://www.example-article-3.com (2026-09-24)]
➡ Potential consequences:
  • In the near term, OpenAI's initiative is likely to accelerate progress in AI models capable of solving complex mathematical problems.
  • Medium-term impact could include partial automation of mathematical research, making advanced proofs more accessible to non-experts.
  • Academic collaboration may stimulate the development of new curricula that integrate AI techniques with traditional mathematics education.
  • Potential risks entail over-reliance on machine-generated proofs and ethical questions about the transparency of AI-driven discoveries.
Top Voices:
On Wikipedia: https://www.example-article-1.com  https://www.example-article-2.com  https://www.example-article-3.com  
Technical factors driving benchmark improvements in SpaceXAI Grok 4.7 over its predecessor for agentic coding use cases.
In the news:
🗺 Background:
  • SpaceXAI Grok 4.7 is the latest agentic coding large language model released in September 2026, aimed at improving autonomous code generation.
  • Benchmarks for Grok 4.7 focus on technical metrics such as code completion accuracy and automated bug resolution compared to Grok 4.6.
  • The main upgrades in Grok 4.7 include refined RLHF tuning and expanded token context to 256K, supporting more complex coding tasks.
  • SpaceXAI leveraged distributed compute infrastructure with GPU clusters for faster model training and evaluation.
🎩 Key stakeholders:
  • Elon Musk (CEO, SpaceXAI) is a prominent figure overseeing Grok development.
  • Core development team includes engineers from SpaceXAI, previously involved in Grok 4.6.
  • Benchmark testing and publication are partnered with university researchers from MIT and Stanford.
  • Stakeholders also include enterprise customers piloting Grok 4.7 for AI agent software systems.
💡 News facts:
➡ Potential consequences:
  • Near-term, Grok 4.7 may enable faster AI-driven software engineering workflows in enterprises and startups.
  • Medium-term, Grok 4.7's improvements could accelerate autonomous research agent adoption in fields like computational chemistry and robotics.
Top Voices:
On Wikipedia: https://example.com/spacexai-grok47-benchmark  https://example.com/mit-spacexai-release  
The impact of Meta’s Muse AI agent surpassing ChatGPT in early mobile adoption in North America and its implications for the AI app market.
🗺 Background:
  • Meta launched the Muse AI agent app on September 8, 2026, targeting U.S. and Canadian mobile users.
  • ChatGPT previously led AI-powered mobile app adoption after its initial iOS release in 2023, with global availability.
  • AI agents like Muse and ChatGPT are designed to provide autonomous personal assistance and task management for consumers.
🎩 Key stakeholders:
  • Meta Platforms, led by CEO Mark Zuckerberg, is the developer and promoter of the Muse AI agent.
  • OpenAI, creator of ChatGPT, remains a major rival in the AI app ecosystem.
  • Market intelligence providers such as Apptopia, Sensor Tower, and Appfigures track app downloads and user engagement for both products.
💡 News facts:
➡ Potential consequences:
  • Meta’s rapid Muse adoption could shift AI app market dominance in North America, challenging OpenAI’s leadership.
  • Stronger integration and cross-promotion through Meta’s platform ecosystem may accelerate mainstream acceptance of personal AI agents.
  • Near-term competition may intensify, prompting rivals to innovate faster and update launch strategies for AI agents.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/09/21/metas-muse-is-outpacing-chatgpts-early-mobile-launch/  https://www.cnbc.com/2026/09/21/meta-muse-personal-ai-agent-downloads.html  https://finance.yahoo.com/technology/ai/articles/metas-muse-ai-agent-sees-193834791.html  https://www.promptoperations.ai/news/meta-muse-outpaces-chatgpt-mobile-launch/  https://tech.yahoo.com/ai/meta-ai/articles/meta-muse-outpacing-chatgpt-early-191921038.html  
Culture
Reza Abbasi
"Art is the language through which the soul speaks to the eyes..."
Reza Abbasi was a prominent Persian painter during the Safavid period in the early 17th century, known for his exquisite miniatures and single-page paintings. His works often depicted elegant figures and scenes of court life, blending Persian tradition with innovative artistic styles....
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Fuzûlî
"The lover's pain is the medicine of love's cure..."
Fuzûlî was a celebrated 17th-century Azerbaijani poet and writer in the Ottoman and Safavid empires, known for his lyrical poetry in Azerbaijani, Persian, and Arabic. His works, especially his ghazals and the famous epic 'Leyla and Majnun,' have left a lasting impact on Middle Eastern literature....
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Taqi al-Din Muhammad ibn Ma'ruf
"To understand the heavens is to understand the Creator's design..."
Taqi al-Din was a 17th-century Ottoman polymath and astronomer who made significant advancements in observational astronomy and mechanical engineering. He founded the Constantinople Observatory and invented various astronomical instruments and early mechanical clocks....
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Shah Abbas I
"A ruler should be like the sun, shining upon all equally..."
Shah Abbas I was the 5th Safavid Shah of Iran, reigning from 1588 to 1629, and is credited with revitalizing the Safavid dynasty through military, economic, and cultural reforms. His reign marked a golden age of Persian art, architecture, and power in the Middle East....
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NASA
NASA Picture of the Day
Globular Cluster Omega Centauri
Globular Cluster Omega Centauri (2026-09-25)
Credits: Javier O. Cadenas Parra
Github
Trading tools
pyhou-02-17-2026 11 stars #280
A companion repo to "Quantitative Trading: A First Look With QuantConnect". This YouTube series is a reproduction of a live PyHou Meetup from February 17, 2026....
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QuantConnnect 11 stars #281
A collection of algorithmic trading strategies for QuantConnect, including straddle options, triangular arbitrage, and crypto strategies. Features data analysis, visualization, bac...
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starfire 10 stars #282
a simple quantitative trading framework...
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Algorithmic-Trading 10 stars #283
Quantitative Momentum Investing& Quantitative Value Investing Strategies...
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Sea Vessels
wave-sense-project 0 stars #280
AI-powered marine safety and smart boat tracking system using Python, Streamlit, FastAPI, IoT concepts, weather forecasting, and machine learning....
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Comprehensive-digital-marketing-for-Boat 0 stars #281
A comprehensive digital marketing strategy for your boat business. Attract potential customers by crafting a strong brand identity and engaging content. Utilize SEO, social media, ...
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Trip 0 stars #282
GPX parser. Made to analyze the track of a boat transfer from Kalmar to Rostock....
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nautic_net_tracker_uplink 0 stars #283
Nerves device to relay LoRa data from the Boat Tracker Mini to The Cloud™...
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Air Vessels
facebook-ar-hackathon 1 stars #280
Augmented Reality Effect built for the Facebook AR Hackathon. Created the Sailor Moon AR effect for the premiere of Instagram Reels. Features included segmentation and plane tracki...
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planet-understanding-the-amazon-from-space 1 stars #281
Every minute, the world loses an area of forest the size of 48 football fields. And deforestation in the Amazon Basin accounts for the largest share, contributing to reduced biodiv...
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ai-dev-factory 1 stars #282
An open-source, model-agnostic control plane for secure and reliable AI software-development agents, featuring task orchestration, sandboxed execution, review, handoff, evidence tr...
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k9-detection-trainer 1 stars #283
K9 Detection Trainer - App de tracking para entrenamiento de perros detectores. Registra sesiones, estadísticas, progreso y planes de entrenamiento con IA. Donaciones vía PayPal y ...
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Imagery
White-Blood-Cell-Classification 7 stars #280
White Blood Cell Classification is a deep learning project built with Python, TensorFlow, and Keras that classifies five types of WBCs from microscopic images using a CNN model. Wi...
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image-augmentation-in-action 6 stars #281
image augmentation in action for machine learning. (tensorflow, pytorch, mxnet, keras, albumentations, imgaug, Augmentor, mahotas, pilimage, scipy, skimage, ...)...
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KE5108-Image-Augmentation-using-GAN 6 stars #282
Perform data augmentation on an image dataset using generative adversarial network...
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automated-image-augmentation-pipeline 6 stars #283
This repository provides a deployable solution using Infrastructure-as-Code (IaC) templates to help you set up a serverless image augmentation pipeline to generate additional train...
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Video
sora-mcp 209 stars #280
An MCP server to use Sora video generation APIs...
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Awesome-Efficient-Diffusion 209 stars #281
A curated list of papers and code on efficient diffusion models for image, video, world modeling, and language generation. Covering acceleration, quantization, compression, caching...
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identity-grpo 208 stars #282
Identity-GRPO: Optimizing Multi-Human Identity-preserving Video Generation via Reinforcement Learning...
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SCoPE 207 stars #283
SCoPE: Sightline-Coordinate Positional Encoding for 3D-Aware Video Generation...
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