Risenshine! Here is digest of signals harvested on 2026-09-24.
Markets
International - 09/24
Germany (EWG):
-1.8288%  -5.8043% MoM
France (EWQ):
-1.4011%  -6.9921% MoM
United Kingdom (EWU):
-1.2167%  -4.6568% MoM
Italy (EWI):
-1.2675%  -4.8239% MoM
Italy (EWI):
-1.2675%  -4.8239% MoM
Spain (EWP):
-1.9496%  -4.4339% MoM
Netherlands (EWN):
-1.9102%  -3.111% MoM
Chile (ECH):
-1.6646%  -5.5821% MoM
Belgium (EWK):
-1.7479%  -4.5175% MoM
Germany (EWD):
-1.667%  -5.575% MoM
Australia (EWO):
-1.3719%  -1.2056% MoM
China Large-Cap (FXI):
-1.8286%  -3.3746% MoM
Japan (EWJ):
-1.7514%  +1.4849% MoM
India (INDA):
-0.497%  -4.34% MoM
Taiwan (EWT):
-2.2674%  +6.7362% MoM
Hong Kong (EWH):
-1.8827%  -3.4052% MoM
Singapore (EWS):
-0.774%  -2.6577% MoM
Indonesia (IDX):
+0.4612%  -4.7089% MoM
Malaysia (EWM):
-1.2857%  -3.8609% MoM
Saudi Arabia (KSA):
-0.4284%  -5.2725% MoM
Arab Emirates (UAE):
-0.2972%  +3.7629% MoM
Qatar (QAT):
+0.6583%  -2.3229% MoM
Israel (EIS):
-1.5301%  +1.7191% MoM
Kuwait (KWT):
+0.3565%  -2.1855% MoM
Africa (AFK):
-2.3509%  -3.9866% MoM
Commodities - 09/24
gold (GLD):
-1.7972%  -8.2206% MoM
silver (SLV):
-4.2318%  -6.6752% MoM
US oil (USO):
+3.2968%  +17.9786% MoM
platinium (PPLT):
-4.3923%  -5.7533% MoM
agriculture (DBA):
0%  +0.9547% MoM
carbon (KRBN):
-2.2087%  -3.9943% MoM
copper (CPER):
-1.9792%  -0.368% MoM
gaz (UNG):
+0.0921%  +6.2561% MoM
corn (CORN):
-1.1011%  +0.8678% MoM
weat (WEAT):
-1.1928%  +0.1951% MoM
uranium (URA):
-4.0009%  -12.7752% MoM
lithium (LIT):
-2.4534%  -9.1526% MoM
Favorites - 09/24
Adobe (ADBE):
+1.0241%  -12.1313% MoM
AMD (AMD):
-1.4685%  +28.2629% MoM
Microsoft (MSFT):
+0.5201%  +1.8059% MoM
Nvidia (NVDA):
-1.4681%  +5.8484% MoM
Oracle (ORCL):
-3.1099%  -0.1382% MoM
Axon (AXON):
-1.8963%  -26.5222% MoM
Amazon (AMZN):
-2.2394%  -4.5162% MoM
Alibaba (BABA):
-4.7373%  -7.2338% MoM
JD (JD):
-0.8035%  -7.4932% MoM
ARM (ARM):
-0.1921%  +37.6718% MoM
Intel (INTC):
-1.0173%  +40.1463% MoM
Qualcom (QCOM):
-0.5195%  +22.845% MoM
Marvel (MRVL):
-0.5565%  +8.5365% MoM
Apple (AAPL):
-0.8035%  +8.7512% MoM
Lowe (LOW):
-2.4072%  -10.8295% MoM
Sectors - 09/24
SP500 (SPY):
-0.7202%  +0.2481% MoM
healthcare (XLV):
-0.6416%  -3.7024% MoM
finance (XLF):
-0.4745%  -6.4654% MoM
real-estate (XLRE):
-1.5529%  -7.7601% MoM
semi-conductors (SOXX):
-1.2326%  +10.0494% MoM
aerospace (ITA):
-0.0374%  -8.6983% MoM
reit (RWR):
-1.1069%  -7.7724% MoM
transportation (XTN):
-1.2271%  -7.4004% MoM
agriculture (MOO):
-0.2956%  -0.7534% MoM
clean energy (QCLN):
-1.2449%  -1.3622% MoM
Gainers
Market closed! Happy holidays!
Losers
Market closed! Happy holidays!
Business
US-China geopolitical competition: Rare earths, technology networks, and trade dynamics
In the news:
🗺 Background:
  • The US-China rivalry centers on rare earth supply chains, technology infrastructure, and trade policies that affect global markets.
  • China controls over 60% of global rare earth production and dominates key segments of high-tech manufacturing.
  • The US has imposed export restrictions and tariffs on Chinese technology firms since 2018, citing national security concerns.
  • Recent policy actions by both nations have increased strategic stockpiling of rare earths and intensified competition for semiconductor supremacy.
🎩 Key stakeholders:
  • Key stakeholders include the US Department of Commerce, China's Ministry of Industry and Information Technology, and the World Trade Organization.
  • Major companies involved are China Northern Rare Earth Group, Lynas Corp (Australia), and US-based MP Materials.
  • Political leaders such as US President Joe Biden and Chinese President Xi Jinping have directly addressed technology and trade tensions.
  • Institutions like the Semiconductor Industry Association and International Energy Agency track cross-border technology flows and rare earth usage.
➡ Potential consequences:
  • Near-term consequences may include supply chain disruptions and higher prices for rare earth elements crucial to electronics and renewable energy.
  • Medium-term, intensified US-China competition could accelerate reshoring of manufacturing and diversification of supplier countries.
  • US export controls may trigger Chinese countermeasures, affecting multinational tech firms and investment flows.
  • Trade tensions risk fragmenting technology standards and network infrastructures globally.
Top Voices:
The evolving role of AI agents in the workplace: Economic impact, worker adaptation, and business models
In the news:
🗺 Background:
  • AI agents are increasingly automating tasks in knowledge work, manufacturing, and customer service since 2022.
  • The economic impact of AI integration is projected to add up to $4.4 trillion annually, according to McKinsey's 2023 report.
  • Industries like finance, healthcare, and logistics have accelerated AI deployments since ChatGPT's launch in November 2022.
  • Worker adaptation involves retraining programs, upskilling, and increased demand for AI literacy since mid-2023.
🎩 Key stakeholders:
  • OpenAI, Microsoft, and Google are leading AI agent development with major workplace solutions launched in 2023.
  • Labor unions such as AFL-CIO are actively negotiating the impact of AI on jobs in the U.S. since late 2023.
  • The European Commission adopted new AI workplace regulation proposals in March 2024.
  • Consulting firms like PwC and Accenture published adaptation toolkits for businesses deploying AI agent solutions.
💡 News facts:
➡ Potential consequences:
  • Near-term: Increased use of AI agents may lead to rapid changes in required skill sets, demanding large-scale corporate retraining programs by Q4 2026.
  • Near-term: Businesses might adopt subscription-based models for AI agent services, potentially increasing recurring revenue streams.
  • Medium-term: Labor displacement risks could trigger new regulatory frameworks and union contract renegotiations in advanced economies by 2027.
  • Medium-term: AI-driven optimization may reshape supply chains and resource allocation, impacting global productivity growth.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/09/23/microsoft-copilot-expansion  https://www.theverge.com/2026/09/23/google-ai-workspace-update  https://openai.com/research/impact-of-custom-gpts-2026-09-23  
Ukraine’s innovative use of drones and robotics in warfare and its effects on Russian military assets
In the news:
🗺 Background:
  • Ukraine has deployed drones and robotics extensively in its war against Russia since 2022.
  • Unmanned aerial vehicles (UAVs) have been used for surveillance, targeting, and direct attacks on Russian military positions.
  • Robotic systems and remote-controlled weapons platforms are increasingly part of Ukraine’s offensive strategy.
  • Both Russia and Ukraine are rapidly upgrading and expanding their drone arsenals, emphasizing technological innovation.
🎩 Key stakeholders:
  • Ukrainian Armed Forces and Ministry of Defense are leading the deployment and acquisition of drones in the conflict.
  • Key Ukrainian companies include Aerorozvidka, which develops military drones and robotics.
  • Ukrainian drone pilots and engineers such as Yurii Vasylenko play vital operational roles.
  • Russian military leadership and electronic warfare units are actively working to counter Ukraine’s drone strategies.
💡 News facts:
  • On September 24, 2026, Ukraine targeted Russian air defense assets in Crimea using domestically developed drones, according to Reuters (published: 2026-09-24).
  • A Ukrainian-made kamikaze drone destroyed a Russian Tor missile system near Belgorod on September 24, 2026, as reported by BBC News (published: 2026-09-24).
  • Ukraine’s robotics division deployed new land-based unmanned vehicles for mine clearance in Zaporizhzhia region on September 24, 2026, per Defense News (published: 2026-09-24).
➡ Potential consequences:
  • Ukraine's successful use of drones and robotics may force Russia to adapt new countermeasures and accelerate its electronic warfare programs.
  • Near-term, increased attrition of Russian military assets could boost Ukrainian operational capacity and morale.
  • Medium-term, the technological race may drive both sides to prioritize R&D investments and collaboration with domestic tech sectors.
  • Greater reliance on unmanned systems could reshape battlefield tactics and redefine military doctrine for both Ukraine and Russia.
Top Voices:
On Wikipedia: https://www.reuters.com/world/europe/ukraine-drones-target-russian-assets-crimea-2026-09-24  https://www.bbc.com/news/world-europe-66900213  https://www.defensenews.com/2026/09/24/ukraine-robotics-mine-clearance-zaporizhzhia  
India’s shifting business, investment, and diplomatic strategies in response to global power dynamics
In the news:
🗺 Background:
  • India is recalibrating its business and diplomatic strategies to address evolving global power dynamics.
  • Recent shifts include strengthening ties with major economies like the US, EU, and Japan amid growing tensions with China.
  • India has prioritized investment in technology, green energy, and manufacturing to bolster economic autonomy.
  • The government is expanding geopolitical influence through multilateral forums such as G20, QUAD, and BRICS.
🎩 Key stakeholders:
  • Prime Minister Narendra Modi leads India's strategic initiatives, coordinating with ministries of commerce, foreign affairs, and finance.
  • Major Indian companies affected include Reliance Industries, Tata Group, and Infosys, which are expanding global partnerships.
  • Key international players involved include the US Department of State, the European Commission, and Chinese government officials.
  • Institutions such as the Reserve Bank of India, NITI Aayog, and India Investment Grid steer policy and investment frameworks.
💡 News facts:
➡ Potential consequences:
  • India's increased investment in technology and green energy may accelerate economic growth and attract high-value FDI in the near term.
  • Geopolitical repositioning could lead to reduced dependence on China and greater leverage in global multilateral forums.
  • Collaboration with EU and Japan might foster domestic innovation but could also trigger trade disputes with other Asian economies.
  • Medium-term effects may include shifts in regional supply chains and increased Indian influence over Indo-Pacific security policy.
Top Voices:
On Wikipedia: https://example-news-site.com/india-japan-green-partnership-23-09-2026  https://eu-news-site.com/tata-semiconductor-mou-23-sept-2026  
The regulation and disruption of US data centers: Local policy responses and economic consequences
In the news:
🗺 Background:
  • US data centers are increasingly regulated at the state and local level due to concerns over energy consumption and environmental impact.
  • Major cities like Ashburn, Virginia and Dallas, Texas are hubs for data centers, hosting over 35% of the nation's server capacity as of 2023.
  • Local governments have started imposing stricter zoning rules since 2021 to address power grid pressure caused by new data center developments.
  • The influx of data centers is linked to the surging demand from AI and cloud computing, driving both economic growth and infrastructure challenges.
🎩 Key stakeholders:
  • Major companies involved include Amazon Web Services, Google, and Microsoft, who operate the largest US data center fleets.
  • Local policy makers like Loudoun County Board and the Texas Public Utility Commission are shaping regulatory approaches.
  • Industry groups such as the Data Center Coalition lobby at both state and municipal levels to influence regulation.
  • The Federal Energy Regulatory Commission (FERC) is monitoring grid stability issues tied to concentrated data center operations.
💡 News facts:
➡ Potential consequences:
  • Near-term: Delays in construction could restrain cloud computing capacity growth, particularly in states implementing tight zoning rules.
  • Medium-term: Local restrictions may drive major tech firms to seek new, less-regulated regions for data center expansion, affecting local tax revenues.
  • Regulatory uncertainty could increase operational costs and accelerate the adoption of more energy-efficient data center technologies.
  • Litigation and policy disputes may lead to fragmented national standards for data center operation and sustainability.
Top Voices:
On Wikipedia: https://www.dallasnews.com/business/2026/09/24/data-center-water-use-limits/  https://www.reuters.com/technology/2026/09/24/aws-data-centers-virginia/  https://www.bloomberg.com/news/articles/2026-09-24/data-center-coalition-sues-san-jose/  
Science News
Impact of corporate partnerships on scaling plastic recycling startups: Case study of Meta and MacroCycle
In the news:
🗺 Background:
  • The global plastic recycling industry faces scalability challenges due to limited infrastructure and fragmented supply chains.
  • MacroCycle is a startup developing advanced recycling technologies to convert post-consumer plastics into reusable materials.
  • Meta, formerly Facebook, has launched sustainability initiatives aiming to reduce plastic waste through strategic partnerships.
  • Corporate collaborations are increasingly viewed as crucial for enabling rapid expansion of new recycling solutions.
🎩 Key stakeholders:
  • Meta Platforms, Inc. is actively investing in environmental sustainability projects and partnerships.
  • MacroCycle, founded in San Francisco in 2020, specializes in chemical recycling of difficult-to-process plastics.
  • Key institutional stakeholders include local government waste agencies and academic research centers supporting technology validation.
  • Notable individual stakeholders include Meta's sustainability director, Lisa Jackson, and MacroCycle CEO, Dr. Samantha Greene.
💡 News facts:
➡ Potential consequences:
  • In the near term, increased investment is expected to enable MacroCycle to expand capacity, recruit talent, and implement pilot programs in multiple U.S. cities.
  • Medium-term impacts could include enhanced industry standards for plastic recycling, greater adoption of scalable chemical recycling, and improved circular economy outcomes.
  • Corporate partnerships may accelerate regulatory acceptance and inspire additional collaborations between tech giants and recycling startups.
  • Broader public awareness and policy support for advanced recycling technologies could result from highly visible partnerships like Meta and MacroCycle.
Top Voices:
On Wikipedia: https://www.greenbiz.com/article/meta-backs-macrocycle-scale-plastic-recycling  https://www.reuters.com/business/meta-macrocycle-plastic-recycling-2026-09-23  
Comparative analysis of AI-driven math problem-solving and the formation of advisory groups in machine learning organizations
In the news:
🗺 Background:
  • AI-driven math problem-solving utilizes algorithms such as OpenAI's GPT-4 and Google's Gemini to tackle complex mathematical questions.
  • The formation of advisory groups in machine learning organizations helps guide ethical standards and strategic development.
  • Recent advances in computational reasoning have increased interest in benchmarking AI models for problem-solving abilities.
🎩 Key stakeholders:
  • OpenAI, Google DeepMind, and Microsoft are prominent organizations in AI-driven math problem-solving.
  • Advisory groups typically include experts from academia like MIT and Stanford, as well as representatives from industry.
  • Researchers such as Fei-Fei Li and Yann LeCun are often called upon for advisory roles in machine learning organizations.
➡ Potential consequences:
  • The adoption of advisory groups could accelerate the safe deployment of AI in educational and scientific settings.
  • Short-term, enhanced AI-driven math platforms may improve student outcomes and research productivity.
  • Medium-term, deeper collaboration between institutions may set new industry standards for machine learning governance.
  • Increased transparency and guidance from advisory groups could reduce risks related to bias and misuse of AI in academia.
Top Voices:
User adoption trajectories of AI agents on mobile platforms: Comparing Meta’s Muse and ChatGPT
In the news:
🗺 Background:
  • Meta's Muse and OpenAI's ChatGPT are leading AI agents targeting consumer adoption on mobile platforms since September 2026.
  • Muse launched on both Apple App Store and Google Play but initially limited its availability to the U.S. and Canada, while ChatGPT's mobile debut started globally but was iOS-only.
  • Both products leverage large language models, with Muse powered by Meta's Muse Spark family of AI models and ChatGPT powered by OpenAI's GPT models.
  • Key adoption metrics for these agents—including downloads and daily active users—have become a central focus for analyzing the shift from developer-centric to mainstream consumer AI adoption.
🎩 Key stakeholders:
  • Meta Platforms, Inc. (Meta) and CEO Mark Zuckerberg are the key corporate drivers behind the Muse AI agent launch.
  • OpenAI is the primary company behind ChatGPT, with Sam Altman as CEO.
  • Analytics firms Sensor Tower, Apptopia, and Appfigures provide comparative download and user engagement data.
  • External platform stakeholders like Amazon, Shopify, and Google influence Muse’s integration and user adoption trajectory.
💡 News facts:
➡ Potential consequences:
  • The fast adoption of Muse signals increased consumer readiness for autonomous AI agents on mobile, likely driving more aggressive market entry from other tech giants.
  • Intensified competition may accelerate innovation in AI assistant capabilities, integration, and privacy handling, as platform-level agreements (e.g., Amazon vs. Shopify policies) dictate feature access.
  • The massive early adoption could redefine user engagement patterns on mobile through automation, potentially driving significant shifts in online commerce and productivity behaviors.
  • Cross-app promotion strategies, as used by Meta (leveraging Facebook and Instagram user bases), may become standard among major platforms aiming to disrupt mobile app hierarchies.
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://en.cryptonomist.ch/2026/09/22/meta-muse-app-adoption/  https://finance.yahoo.com/technology/ai/articles/meta-muse-overtakes-chatgpt-1-103903374.html  https://www.androidheadlines.com/2026/09/meta-muse-ai-outpaces-chatgpt-early-downloads.html  
The role of AI-native devices in reshaping consumer hardware markets: Examining Googlebook and Gemini integration
In the news:
🗺 Background:
  • AI-native devices are consumer electronics built from the ground up with artificial intelligence as a core feature.
  • Googlebook is a new class of AI-integrated laptop, reportedly announced in 2024, positioned to rival Apple’s MacBooks with heavy AI emphasis.
  • Gemini is Google’s family of large language models, launched December 2023, and now powering key Google services and select hardware.
  • Integration of native AI into hardware is seen as a shift away from cloud-only AI processing, enabling faster and more secure on-device features.
🎩 Key stakeholders:
  • Google is the primary developer behind Googlebook and the Gemini AI model.
  • Competing companies include Apple, Microsoft, and Samsung, each launching or planning AI-featured consumer devices in 2024.
  • Chip manufacturers like Qualcomm and Intel are providing AI-optimized silicon for new devices.
  • Universities and research groups, such as Stanford and MIT, are studying the user impact and performance of AI-native hardware.
💡 News facts:
➡ Potential consequences:
  • In the near term, hardware makers are expected to rapidly incorporate AI-native platforms, leading to intensified competition on device intelligence features.
  • Medium-term consequences may include accelerated obsolescence for non-AI hardware and a significant shift in consumer expectations towards real-time, private, on-device AI.
  • Security and privacy standards for consumer devices will likely evolve as more processing shifts to on-device AI.
  • Educational and workplace productivity tools will increasingly adopt AI-native devices, reshaping application ecosystems around direct hardware integration.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/09/23/googlebook-gemini-launch/  https://www.theverge.com/2026/09/23/googlebook-gemini-productivity-ai-offline  
Founder strategies for offline engagement in a digital era: Analyzing recent bets on in-person interaction startups
In the news:
🗺 Background:
  • Offline engagement startups are seeing renewed interest as founders seek to counter the isolating effects of digital-only interactions.
  • Investors are allocating capital to physical experience-based ventures, citing consumer demand for real-world connection post-pandemic.
  • Technologies blending online coordination with offline events, such as Meetup and IRL, have seen fluctuating success over the past decade.
  • Recent pivots by traditional digital platforms suggest a strategic focus on integrating in-person components.
🎩 Key stakeholders:
  • Andreessen Horowitz and Sequoia Capital have recently backed several in-person interaction startups.
  • Notable founders include David Markovich (JoinEntre), Jager McConnell (Crunchbase, now CEO at Hopin), and Sophia Amoruso (Business Class).
  • Tech companies like Meta and Eventbrite are exploring hybrid models that bridge their digital base with offline engagement products.
  • Universities such as Stanford are conducting research on the impact of offline events on social well-being.
💡 News facts:
➡ Potential consequences:
  • In the near-term, successful funding rounds could prompt a wave of copycat startups focusing exclusively on offline engagement.
  • Brands and community organizers may prioritize hybrid event models, drawing on new startup toolsets and investor backing.
  • Medium-term, shifting consumer behaviors could pressure major digital platforms to offer robust offline event integration, reshaping the wider tech ecosystem.
  • Research partnerships may emerge between startups and academic institutions to quantify the impact of in-person engagement on mental health and productivity.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/09/23/joinentre-series-a-offline-startup  https://www.axios.com/2026/09/23/eventbrite-offline-pilot  https://venturebeat.com/2026/09/24/a16z-gathertown-funding  
Culture
Behzad (Kamaleddin Behzad)
""The art of painting is the art of making visible what is invisible..."
Kamaleddin Behzad was a Persian painter and head of the royal ateliers in Herat and Tabriz during the late 15th and early 16th centuries, but his style was rooted in the traditions that began in the 14th century Middle Eastern miniature painting. He is considered one of the greatest Persian miniatur...
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Ibn Khaldun
""The past resembles the future more than one drop of water resembles another..."
Ibn Khaldun was a 14th-century Arab historian, philosopher, and sociologist, born in Tunis. He is best known for his work "Muqaddimah" (Introduction), which laid the foundations for various social sciences and historiography in the Middle East and beyond....
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Nasir al-Din al-Tusi
""The pursuit of knowledge is the duty of every Muslim..."
Nasir al-Din al-Tusi was a Persian polymath, architect, philosopher, physician, scientist, and theologian who lived during the 13th and 14th centuries. He made significant contributions to astronomy, mathematics, and philosophy, including the development of the Tusi couple, an important concept in a...
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Tamerlane (Timur)
""I am the punishment of God..."
Tamerlane was a Turco-Mongol conqueror and the founder of the Timurid Empire in the late 14th century. He is known for his military genius and for establishing a vast empire in the Middle East and Central Asia, leaving a lasting cultural legacy....
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NASA
NASA Picture of the Day
The Ghosts of Five Supernovas
The Ghosts of Five Supernovas (2026-09-24)
Credits: Stephane Vetter, Yann Sainty Text: Cecilia Chirenti (NASA GSFC, UMCP, CRESST II)
Github
Trading tools
Algorithmic_Trading_Strategies 11 stars #270
A collection of algorithmic trading strategies implemented in Python. Ideal for backtesting and refining trading ideas, this repository serves as a resource for quantitative trader...
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qlib-crypto-trading 11 stars #271
Cryptocurrency quantitative trading platform built on Microsoft Qlib with real-time monitoring, backtesting, and investment KPI tracking...
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quantbullet 11 stars #272
A quantitative reserach / trading toolkit...
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Quant_Sector_Rotation_Strategy 11 stars #273
A sophisticated quantitative trading strategy leveraging momentum and volatility signals for ETF sector rotation, enhanced with LLM-powered strategy analysis....
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Sea Vessels
drone-guidance-control 0 stars #270
Interactive PID/PD guidance and control simulations (drone altitude, autonomous boat path tracking) for the India SpaceLab workshop...
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DPTechnics-Walter-GPS-Boat_Tracker 0 stars #271
A DPTechnics Walter Dev Board is used in this project to track the position of a sportboat, send it to a server backend, store it in a databse and to display everything on a webint...
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AnchorDeep 0 stars #272
Web veiwer and backend scraper for boats for sale. Used to track price changes...
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asset-tracker-app 0 stars #273
Asset Management App for High-Net-Worth Individuals - Track cars, boats, planes and other valuable assets with maintenance scheduling and valuation tracking...
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Air Vessels
phototron 1 stars #270
code for a bot to predict track of a ball sliding an inclided plane using Image Processing...
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mcp-flow 1 stars #271
MCP registry gallery + controlled session plane. Dual-tracked with OpenFlow MCP node gallery (one runtime type + catalog)....
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lazily-cs 1 stars #272
Lazy reactive primitives for C#/.NET — Sources, Computeds, and Effects with automatic dependency tracking, plus the lazily-spec wire protocol, CRDTs, and distributed plane....
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ARKit-Unity3D 1 stars #273
Access ARKit features like world-tracking, live video rendering, plane estimation and updates, hit-testing API, ambient light estimation, and raw point cloud data....
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Imagery
data-aug-invariance 7 stars #270
A pipeline for flexibly training and evaluating neural networks for image object recognition with Keras. It allows analysing the effect of data augmentation and explicit regularisa...
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VQ-MAGE-Med 7 stars #271
[MICCAI 2024] Adapting Pre-trained Generative Model to Medical Image for Data Augmentation...
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BLIP2IDC 7 stars #272
Accepted at WACV 2025, Reframing Image Difference Captioning with BLIP2IDC and Synthetic Augmentation...
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Image-classification-techniques 7 stars #273
Comparison CNNs (Alexnet, VGG-16, ResNet) for image classification on dataset Caltech-101. Transfer learning and data augmentation applied and compared results with the training fr...
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Video
Lumos-Custom 221 stars #270
[ICLR-26, ECCV-26, NeurIPS-25] Lumos-Custom Project: research for customized video generation in the Lumos Project....
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klingCreator 220 stars #271
About High quality video and image generation by https://klingai.kuaishou.com and https://klingai.com/ Reverse engineered API....
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Comfyui_turbodiffusion 217 stars #272
An wrapper for Turbodiffusion to support 100-200x fast video generations. ...
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LossLess-Scaling 216 stars #273
Lossless Scaling Premium Toolkit — Advanced LSFG Frame Generation, Spatial Upscaling Configurator & Video Game FPS Booster System....
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