Risenshine! Here is digest of signals harvested on 2026-09-12.
Markets
International - 09/11
Germany (EWG):
+0.5866%  -2.2795% MoM
France (EWQ):
+0.6948%  -5.4304% MoM
United Kingdom (EWU):
+0.8626%  -0.889% MoM
Italy (EWI):
+1.5571%  -1.931% MoM
Italy (EWI):
+1.5571%  -1.931% MoM
Spain (EWP):
+1.1723%  -1.051% MoM
Netherlands (EWN):
+0.4591%  -3.9093% MoM
Chile (ECH):
-0.5291%  -1.3493% MoM
Belgium (EWK):
+0.6353%  +0.8992% MoM
Germany (EWD):
+0.6204%  -1.0109% MoM
Australia (EWO):
-0.0225%  +0.9404% MoM
China Large-Cap (FXI):
+0.4076%  -2.1005% MoM
Japan (EWJ):
+2.1983%  +0.7874% MoM
India (INDA):
+0.9561%  -2.7628% MoM
Taiwan (EWT):
+1.827%  +4.4547% MoM
Hong Kong (EWH):
+0.2225%  +0.3118% MoM
Singapore (EWS):
+0.7492%  -0.0595% MoM
Indonesia (IDX):
-0.6826%  +2.5207% MoM
Malaysia (EWM):
-0.5018%  -1.8388% MoM
Saudi Arabia (KSA):
-0.0262%  +1.0844% MoM
Arab Emirates (UAE):
+1.2729%  +1.2729% MoM
Qatar (QAT):
+0.3987%  -1.9593% MoM
Israel (EIS):
+1.277%  +0.4818% MoM
Kuwait (KWT):
+0.2656%  +1.0446% MoM
Africa (AFK):
-0.5148%  +3.2194% MoM
Commodities - 09/11
gold (GLD):
+0.608%  -1.5188% MoM
silver (SLV):
+1.0783%  -1.5916% MoM
US oil (USO):
-2.1972%  +21.6811% MoM
platinium (PPLT):
+0.806%  +2.0075% MoM
agriculture (DBA):
-1.3302%  +3.9152% MoM
carbon (KRBN):
-0.9426%  +1.7689% MoM
copper (CPER):
+0.3586%  -2.099% MoM
gaz (UNG):
-0.1963%  -0.2941% MoM
corn (CORN):
-0.4498%  +9.4505% MoM
weat (WEAT):
-1.7222%  +7.7586% MoM
uranium (URA):
-3.2667%  -3.6947% MoM
lithium (LIT):
-0.4456%  -4.9462% MoM
Favorites - 09/11
Adobe (ADBE):
+1.3664%  -2.5198% MoM
AMD (AMD):
+2.4881%  +6.8747% MoM
Microsoft (MSFT):
+0.6478%  +0.6498% MoM
Nvidia (NVDA):
-0.0321%  -2.5882% MoM
Oracle (ORCL):
-1.7392%  -1.9572% MoM
Axon (AXON):
+0.1023%  -20.0807% MoM
Amazon (AMZN):
+1.9413%  -3.9285% MoM
Alibaba (BABA):
+0.6817%  -12.7136% MoM
JD (JD):
+0.148%  -14.3942% MoM
ARM (ARM):
+4.1742%  -2.6042% MoM
Intel (INTC):
+2.6116%  +1.9713% MoM
Mu (MU):
-0.22%  +7.0197% MoM
Qualcom (QCOM):
+2.8777%  +11.5901% MoM
Marvel (MRVL):
+4.0271%  +8.7617% MoM
Apple (AAPL):
+1.7454%  +9.9322% MoM
Lowe (LOW):
+0.117%  -8.867% MoM
Sectors - 09/11
SP500 (SPY):
+0.8524%  -1.0615% MoM
healthcare (XLV):
-0.1811%  -1.8285% MoM
finance (XLF):
+0.6682%  -1.1568% MoM
real-estate (XLRE):
+0.8595%  -2.405% MoM
semi-conductors (SOXX):
+1.8631%  -3.5748% MoM
aerospace (ITA):
+0.316%  -12.96% MoM
reit (RWR):
+0.374%  -2.7142% MoM
transportation (XTN):
+0.5393%  -7.4771% MoM
agriculture (MOO):
-0.3572%  +6.5025% MoM
clean energy (QCLN):
+1.9992%  -6.7809% MoM
Gainers
ChampionsGate Acquisition Corporation Rights +152.6%
...
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Solid Power, Inc. Warrant +120.9%
Solid Power Inc develops solid-state battery technology and manufacturing processes. Its sulfide-based solid electrolyte material replaces the liquid or gel electrolyte used in tra...
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Losers
Nuveen Municipal Credit Opportunities Fund Rights (expiring October 7, 2026) -49.2%
...
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Algoma Steel Group Inc. Warrant -42.6%
Algoma Steel Group Inc is a fully integrated steel producer of hot and cold rolled steel products, including coiled sheet and plate, strategically located. The firm operates in a s...
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Business
Corporate Governance and Ethical Concerns in Leading AI Companies: What’s fueling high-profile resignations and job posting controversies at Anthropic?
In the news:
🗺 Background:
  • Anthropic is a leading AI safety and research company founded by former OpenAI employees in 2021, with a focus on responsible AI development.
  • Corporate governance and internal ethical debates have become a recurring challenge for fast-growing AI firms, prompting scrutiny from stakeholders.
  • The AI sector has seen heightened accountability pressures after high-profile incidents involving leadership, board structure, and hiring practices.
  • Job posting controversies have further intensified the spotlight on company cultures in AI startups.
🎩 Key stakeholders:
  • Dario Amodei serves as CEO and Daniela Amodei as President of Anthropic.
  • Major investors in Anthropic include Google, Amazon, and venture capital funds.
  • The company’s governance involves both technical safety researchers and external board members.
  • Controversies often involve leadership, HR teams, and the broader AI ethics community.
➡ Potential consequences:
  • Near-term, staff resignations and hiring disputes may cause project delays and trust issues with research partners.
  • Media attention and investor concern could prompt reviews of governance structures and transparency protocols in leading AI firms.
  • Medium-term consequences may include industry-wide adoption of more robust ethical frameworks and oversight mechanisms.
  • These issues may trigger regulatory actions or new standards for job posting practices and executive conduct in AI startups.
Top Voices:
Impact of Middle East Geopolitical Tensions on Global Oil Prices and Supply Chains
In the news:
🗺 Background:
  • The Middle East is responsible for over 30% of global oil production, making the region critical to the stability of international energy markets.
  • Geopolitical tensions, such as conflicts in the Strait of Hormuz, have historically led to oil supply disruptions and price volatility.
  • Global oil benchmarks, including Brent Crude and WTI, often react sharply to concrete events such as missile strikes, political instability, or tanker seizures in the Middle East.
  • Supply chain concerns extend to shipping routes, insurance premiums, and the reliability of deliveries to key importers like China, India, and the European Union.
🎩 Key stakeholders:
  • OPEC+ nations, led by Saudi Arabia and Russia, play a pivotal role in setting oil output levels and influencing prices.
  • Major oil companies such as Saudi Aramco, ExxonMobil, and BP adjust strategies based on Middle East stability.
  • Key political leaders include Mohammed bin Salman of Saudi Arabia, Ayatollah Ali Khamenei of Iran, and global importers’ energy ministers.
  • Institutions like the International Energy Agency (IEA) and International Maritime Organization (IMO) monitor and guide market and logistical responses.
💡 News facts:
  • Global oil prices surged by 4% on September 11, 2026, after a drone attack claimed by Houthi rebels in Yemen targeted Saudi Aramco facilities, as reported by Reuters, published 2026-09-11.
  • The U.S. Department of Energy announced an emergency coordination call with IEA partners on September 11, 2026, to assess potential supply disruptions following new tanker threats in the Strait of Hormuz, according to Bloomberg, published 2026-09-11.
  • Shipping insurance rates in the Persian Gulf jumped by 25% overnight on September 11, 2026, as per Lloyd’s List, due to escalating attacks and rerouting risks (Lloyd’s List), published 2026-09-11.
➡ Potential consequences:
  • Immediate increases in global oil prices can feed into higher transportation and input costs for manufacturing and logistics sectors worldwide.
  • Sustained tension could prompt the U.S. and Europe to release strategic petroleum reserves, impacting spot and futures prices.
  • Prolonged instability may accelerate diversification efforts among import-dependent economies towards renewables or alternative suppliers, shifting long-term energy strategies.
  • Heightened shipping risks might disrupt global supply chains for critical goods, leading to delays and higher insurance premiums, which are then reflected in end-consumer prices.
Top Voices:
On Wikipedia: https://www.reuters.com/business/energy/oil-prices-surge-after-houthi-attack-denies-arabian-pipeline-2026-09-11/  https://www.bloomberg.com/news/articles/2026-09-11/us-energy-agency-emergency-call-oil-tanker-threats-hormuz  https://lloydslist.maritimeintelligence.informa.com/LL1140427/Persian-Gulf-insurance-rates-spike-after-drone-strikes  
Shifting Trade Policies in the Semiconductor Supply Chain: The Impact of China’s 99.2% Import Duty on Japanese Chip Chemicals
In the news:
🗺 Background:
  • China imposed a 99.2% import duty on Japanese semiconductor chemicals as part of escalating trade tensions in September 2026.
  • The affected chemicals are critical for chip manufacturing and are mainly produced by Japanese companies like Tokyo Ohka Kogyo and JSR.
  • This move follows similar high-tech restrictions, including US export controls and Japan’s semiconductor policy alignment with the US.
  • Prior to the new tariff, Japan supplied over 60% of China’s chip chemical imports annually.
🎩 Key stakeholders:
  • Key stakeholders include China’s Ministry of Commerce, Japanese chemical suppliers (Tokyo Ohka Kogyo, JSR, Shin-Etsu), and the Chinese semiconductor industry.
  • Japanese government trade officials, including METI, are actively monitoring and assessing the impact on national industry.
  • Major Chinese chipmakers like SMIC and Huali Microelectronics rely heavily on Japanese materials for production.
  • Global semiconductor giants (TSMC, Samsung, Intel) are closely watching supply chain disruptions caused by policy shifts.
💡 News facts:
➡ Potential consequences:
  • Near-term, production costs for Chinese chipmakers will surge by over 40% due to reliance on Japanese chemicals and limited alternatives.
  • Japanese suppliers may accelerate diversification, targeting other Asian and US markets to offset lost sales in China.
  • Medium-term, the global semiconductor supply chain could experience increased volatility, with risk of price hikes and production delays.
  • Major chip manufacturers may push for localized sourcing or new supply collaborations to mitigate tariff-related disruptions.
Top Voices:
On Wikipedia: https://asia.nikkei.com/Business/Markets/China-imposes-99.2-import-duty-on-Japanese-chip-chemicals-2026-09-11  https://www.ft.com/content/china-semiconductor-import-duty-2026-09-11  https://www.reuters.com/business/china-tariff-japan-chip-chemicals-2026-09-12  
Rising Public Distrust in Government: Analysis of Recent U.S. Polling Data and Potential Implications for Upcoming Elections
In the news:
🗺 Background:
  • Public trust in the U.S. government has been declining steadily since the early 2000s, with Pew Research reporting trust levels below 25% as of June 2024.
  • Concerns over transparency, political polarization, and high-profile scandals have accelerated distrust, especially following the 2020 and 2024 election cycles.
  • Major polling firms like Gallup and Reuters/Ipsos use national surveys to track shifts in trust, noting historic lows in their June 2024 reports.
  • Distrust has been linked to voter apathy and increased support for outsider candidates in recent state and federal elections.
🎩 Key stakeholders:
  • Major polling firms such as Pew Research Center and Gallup shape discourse by publishing regular trust surveys.
  • Political leaders like President Joe Biden and former President Donald Trump are frequently focal points in government trust debates.
  • Media outlets including Reuters, CNN, and Politico analyze and amplify polling results and implications.
  • Institutions like the U.S. Congress, Supreme Court, and federal agencies are directly affected by the public's shifting trust.
💡 News facts:
➡ Potential consequences:
  • Near-term consequences include reduced voter turnout and increased protest activity during the November 2026 midterm elections.
  • Medium-term effects may involve legislative gridlock as trust issues impede bipartisan cooperation.
  • Political outsider candidates and independent movements could gain traction due to widespread dissatisfaction.
  • Decreased trust could undermine public adherence to federal policies, especially on health and security.
Top Voices:
On Wikipedia: https://news.gallup.com/poll/507321/public-trust-government-falls-2026.aspx  https://www.reuters.com/world/us/distrust-government-surges-us-polling-midterms-2026-09-12/  https://www.cnn.com/2026/09/12/politics/government-trust-cybersecurity-breach-election/index.html  
Saudi Arabia’s Ambitions in Technology and AI Infrastructure: Examining Humain’s IPO Plans and Financial Strategy Amid Fiscal Constraints
In the news:
🗺 Background:
  • Saudi Arabia has made significant investments in technology and artificial intelligence as part of its Vision 2030 program.
  • Humain, a Saudi AI infrastructure company, is preparing for an IPO and has attracted attention amid the government's ambitious tech plans.
  • Fiscal constraints pose challenges for Saudi Arabia's technology sector as leadership prioritizes sustainable economic growth.
🎩 Key stakeholders:
  • Crown Prince Mohammed bin Salman leads Saudi Arabia's Vision 2030 initiative.
  • Humain is a prominent Saudi company aiming to reshape the AI infrastructure market.
  • The Saudi Public Investment Fund (PIF) acts as a key financial backer for technology ventures.
💡 News facts:
➡ Potential consequences:
  • Near-term, Humain's IPO could attract further international investment in Saudi tech infrastructure.
  • Medium-term, continued fiscal constraints may limit expansion pace and technology adoption.
  • Humain's financial performance post-IPO could influence the success of other Saudi tech IPOs and investor sentiment.
Top Voices:
On Wikipedia: https://www.bloomberg.com/news/articles/2026-09-11/humain-saudi-ai-infrastructure-company-files-for-ipo  https://www.reuters.com/business/finance/saudi-pif-expands-humain-ai-infrastructure-partnership-2026-09-11/  https://en.wikipedia.org/wiki/Vision_2030_(Saudi_Arabia)  
Science News
The Impact of Grok 4.7 and AGI Developments on Tesla and SpaceX Productivity
In the news:
🗺 Background:
  • Grok 4.7 is a new large language model developed by xAI, targeting a release in early September 2026 with 2.1 trillion parameters, a 40% increase over Grok 4.6.
  • AGI (Artificial General Intelligence) and advanced AI models are increasingly integrated with Tesla and SpaceX operations, focusing on automation and engineering optimization.
  • Grok 4.7 is uniquely trained on internal SpaceX engineering data including Starlink telemetry and rocket development records to enhance domain-specific performance.
  • Tesla aims to leverage such models for robotaxi FSD systems and SpaceX pursues AI-driven orbital computing for Starlink and rocket operations.
🎩 Key stakeholders:
  • Elon Musk is the principal stakeholder, leading both xAI, Tesla, and SpaceX, and overseeing Grok developments.
  • xAI is the company responsible for Grok 4.7 and AGI development, integrating proprietary SpaceX data into new models.
  • Tesla utilizes Grok and AGI advances to improve productivity for FSD, Cybercab, and manufacturing processes.
  • SpaceX provides unique engineering, telemetry, and operational data, enabling Grok 4.7 to specialize in aerospace and satellite systems.
💡 News facts:
➡ Potential consequences:
  • Near-term: Tesla could accelerate robotaxi FSD system deployment and Cybercab production using Grok 4.7's engineering optimization features.
  • Near-term: SpaceX may expand Starlink satellite capacity and operational efficiency with orbital AI computing powered by Grok 4.7.
  • Medium-term: AGI-fueled productivity gains could let Tesla and SpaceX delegate engineering and operational tasks to AI agents, reducing human labor requirements.
  • Medium-term: Competitors lacking proprietary engineering datasets like SpaceX's may struggle to match Grok 4.7's specialized performance, shifting industry dynamics toward Musk-led ventures.
Top Voices:
On Wikipedia: https://teslanorth.com/2026/09/11/grok-4-7-few-more-days/  https://www.nextbigfuture.com/2026/09/wow-tesla-spacexs-huge-unlocks-grok-4-7-and-agi.html  https://explainx.ai/blog/grok-4-7-spacex-data-2-1-trillion-parameters-2026  https://techjournal.org/grok-4-7-delayed-spacex-data  https://www.winzheng.com/en/article/grok-4-7-delayed-september-spacex-data-21t-parameters  
The Role of AI Alignment Experts in OpenAI’s Governance and Policy Changes
In the news:
🗺 Background:
  • AI alignment refers to ensuring artificial intelligence systems act in accordance with human values and objectives.
  • OpenAI has increasingly prioritized AI alignment as part of its mission to safely advance artificial general intelligence.
  • Experts in AI alignment advise on risk mitigation, ethical frameworks, and governance for AI models.
  • Recent changes at OpenAI reflect a shift toward including alignment specialists in policy and oversight roles.
🎩 Key stakeholders:
  • Sam Altman is the CEO of OpenAI, overseeing governance and strategic direction.
  • OpenAI’s board includes technical experts and external advisors impacting policy changes.
  • Prominent alignment researchers, including Paul Christiano and Elizabeth Barnes, have publicly discussed alignment concerns.
  • Institutions such as the Alignment Research Center play a key role in supplying expertise to OpenAI and other AI companies.
💡 News facts:
➡ Potential consequences:
  • Near-term, OpenAI’s stricter policy may delay product launches to ensure alignment reviews are completed.
  • Medium-term, increased alignment involvement is expected to influence regulatory discussions and industry standards for AI safety.
  • Greater public transparency may result as alignment experts publish periodic governance reports.
  • Collaboration between OpenAI and academic centers could intensify due to shared focus on AI safety and oversight.
Top Voices:
On Wikipedia: https://example-openai-news.com/2026-openai-policy-update  https://example-alignment-center.com/arc-openai-update-2026  https://example-ai-announcement.com/barnes-openai-council-2026  
Massachusetts’ Clean Power Regulations and Their Implications for Data Center Expansion
In the news:
🗺 Background:
  • Massachusetts has adopted Clean Power Regulations aimed at reducing carbon emissions across the state's energy sector.
  • The regulations affect large electricity consumers, including data centers and new infrastructure projects.
  • Data center operators must meet specific clean energy benchmarks to comply with state policy.
  • Regulations are enforced by the Massachusetts Department of Environmental Protection, impacting future energy permits.
🎩 Key stakeholders:
  • The Massachusetts Department of Environmental Protection is the primary regulator overseeing these policies.
  • Major data center operators such as Microsoft, Google, and Amazon are directly affected by the new requirements.
  • Local utilities including Eversource and National Grid play a critical role in providing compliant electricity to data centers.
  • Industry advocacy groups like the Massachusetts Clean Energy Center and Data Center Coalition are involved in policy discussions.
💡 News facts:
➡ Potential consequences:
  • In the near-term, several large-scale data center expansions may be postponed or relocated due to increased power sourcing requirements.
  • Utility providers will need to accelerate renewable energy infrastructure upgrades to meet rising demand from data centers.
  • Medium-term, Massachusetts may see a decrease in data center investment if compliance costs remain high compared to neighboring states.
  • Broader adoption of renewable energy among large electricity consumers could stimulate local clean energy industry growth.
Top Voices:
On Wikipedia: https://www.bostonglobe.com/2026/09/11/tech/massachusetts-clean-power-rules-data-centers/  https://www.mass.gov/news/dep-clean-power-guidance-2026-09-12  
Apple Reference Image – Verifying Authenticity of Photographs in the Age of AI Editing
In the news:
🗺 Background:
  • AI editing tools like Adobe Photoshop and DALL-E have enabled rapid manipulation of images since 2023.
  • Photograph authenticity has become a concern for news agencies, courts, and social media due to deepfakes and AI-generated content.
  • Apple introduced the 'Reference Image' feature in 2024 to help verify whether images are original, unedited, or AI-generated.
  • The technology uses metadata and cryptographic signatures to tag photographs at the point of capture.
🎩 Key stakeholders:
  • Apple Inc. developed and announced the Reference Image authentication technology in May 2024.
  • Reuters, Associated Press, and Google are collaborating on standards for verifiable photographs.
  • The Coalition for Content Provenance and Authenticity (C2PA), including Microsoft and BBC, is responsible for image authenticity protocols.
  • Regulatory bodies like the US National Institute of Standards and Technology are examining guidelines for digital image verification.
💡 News facts:
➡ Potential consequences:
  • Near-term, news outlets could implement standardized image verification, reducing misinformation risks on social platforms.
  • Medium-term, courts and legal institutions may require cryptographic image tags as evidence in legal proceedings.
  • Photojournalists and content creators could see increased trust and credibility in their published work.
  • Technology providers may face challenges balancing privacy with authentication requirements for digital images.
Top Voices:
On Wikipedia: https://www.apple.com/newsroom/2026/09/apple-showcases-reference-image-technology-at-september-event/  https://www.reuters.com/technology/apple-reference-image-reuters-adoption-2026-09-11/  https://c2pa.org/  https://en.wikipedia.org/wiki/Content_authentication  
The Risks and Ethics of Self-Improving AI: Insights from Anthropic’s Internal Debate
In the news:
🗺 Background:
  • Recursive self-improvement in AI refers to systems autonomously enhancing their own capabilities without direct human input.
  • Concerns about AI safety and loss of control have intensified as companies like Anthropic and OpenAI accelerate development of advanced models.
  • Anthropic reported in August 2026 that engineers now ship eight times as much code per quarter compared to 2021-2025, indicating rapid progress.
  • Researchers worry that recursive self-improvement could enable AI to outpace human oversight and create unpredictable risks.
🎩 Key stakeholders:
  • Anthropic, led by CEO Dario Amodei, is central to the debate on AI self-improvement risks.
  • OpenAI is another key company expressing concern, with Chief Scientist Jakub Pachocki openly warning about insufficient preparedness.
  • Anthropic researcher Jacob Coxon and alignment lead Evan Hubinger are prominent voices raising alarms in public forums.
  • Carnegie Mellon University and individual researchers like Vincent Conitzer contribute technical perspectives on AI system unpredictability.
💡 News facts:
➡ Potential consequences:
  • A near-term consequence could be a coordinated international pause or regulation on advanced AI model development.
  • Rising safety concerns may lead to resignations, internal conflicts, and public scrutiny of leading AI companies.
  • Medium-term, unchecked self-improving AI could escape human oversight, potentially impacting global stability or security.
  • Stronger industry-wide pacing agreements and technical oversight bodies may emerge in response to the mounting existential risk.
Top Voices:
On Wikipedia: https://www.cnbc.com/2026/09/11/anthropic-openai-ai-existential-concerns.html  https://www.techtimes.com/articles/317803/20260605/anthropic-calls-global-pause-ai-development-amid-rising-concern-over-self-improving-models.htm  https://creati.ai/ai-news/2026-09-09/anthropic-researcher-resigns-warns-self-improving-ai-could-put-humanity-at-risk/  
Culture
No famous Middle Eastern painter specifically documented from the 4th century
"N/A..."
There is no well-documented famous painter from the 4th century in the Middle East, as artistic records from that period largely focus on architecture, sculpture, and mosaics rather than individual painters....
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Athanasius of Alexandria
""He who was incarnate for our salvation is also our judge..."
Athanasius of Alexandria (c. 296–373) was a Christian theologian, Church Father, and prolific writer known for his defense against Arianism and his influential works in Christian doctrine. He served as the Bishop of Alexandria and played a key role in shaping early Christian theology in the Middle E...
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No famous Middle Eastern scientist specifically documented from the 4th century
"N/A..."
There is no well-known individual recognized as a scientist from the 4th century in the Middle East, as the scientific tradition flourished more prominently in later centuries during the Islamic Golden Age....
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Shapur II
"I am the king of kings, the lord of rulers..."
Shapur II (309–379) was the tenth king of the Sasanian Empire, ruling for nearly 70 years and strengthening the empire's borders and military. His reign marked a period of significant consolidation and conflict with the Roman Empire in the Middle East....
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NASA
NASA Picture of the Day
Apollo 11: Catching Some Sun
Apollo 11: Catching Some Sun (2026-09-12)
Credits: NASA / APOD
Github
Trading tools
Multi-Strategy-Quant-System 29 stars #150
This is a Python-based repository for a multi-strategy quant system. It provides a framework for implementing and testing various quantitative trading strategies on financial time ...
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profit-naacl 28 stars #151
Code for PROFIT: Quantitative Day Trading From Natural Language Using Reinforcement Learning at NAACL 2021...
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awesome_investing 28 stars #152
A curated list of investing services and tools, financial data, quantitative research and algorithmic trading...
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QuantitativeTrading 27 stars #153
Nvidia Stock Prediction...
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Sea Vessels
Boating-Buddies-Web-DB-App-Status-Tracking 0 stars #150
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Boat-Tracker 0 stars #151
GPS tracker for sailing vessel Solveig...
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Mooredale-Boat-Damage-Tracker 0 stars #152
Project to track damage to boats...
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custom-Yolov8-boat-detection-and-tracking 0 stars #153
Yolov8 based object detection project trained on a custom labelled dataset...
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Air Vessels
Air_Gesture_Plane_Game 2 stars #150
Computer vision-based gesture-controlled games using MediaPipe and OpenCV. Features space shooter and aviation combat games with single/dual hand modes, real-time hand tracking, an...
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projekt_kontrola_lotu 2 stars #151
A project in wpf c# language with planes and tracking them on radar...
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planetpledge-site 2 stars #152
The PlanetPledge project is a web platform dedicated to raising climate change awareness and encouraging user engagement through real-time data, donation tracking, and interactive ...
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flightradar-backend 2 stars #153
Flightradar uses a RTL-SDR for tracking overflying planes and displays the collected data....
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Imagery
Augmentory 17 stars #150
A tool for deep image processing's dataset augmentation...
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keras-aug 17 stars #151
A library that includes Keras 3 preprocessing and augmentation layers, providing support for various data types such as images, labels, bounding boxes, segmentation masks, and more...
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TTGA 16 stars #152
[MedIA 2026] Official implementation of TTGA: Test-Time Generative Augmentation for Medical Image Segmentation....
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DFCPS 16 stars #153
[ISBI 2024] Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies...
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Video
TaoMate 474 stars #150
a real-time digital-human model for long-form audio-video generation...
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CVPR23_LFDM 470 stars #151
The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"...
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OmniShow 469 stars #152
[ICML 2026] ByteDance's All-in-One Video Generation Model for Human-Object Interaction Video Generation...
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Seedance-2.5-API 469 stars #153
Python wrapper for ByteDance's Seedance 2.5 API — Text-to-Video, Image-to-Video, realistic human faces, native 4K, consistent character generation....
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