Risenshine! Here is digest of signals harvested on 2026-09-08.
Markets
International - 09/08
Germany (EWG):
-0.7291%  -0.6838% MoM
France (EWQ):
-0.1532%  -4.4607% MoM
United Kingdom (EWU):
-0.4939%  -0.2887% MoM
Italy (EWI):
-0.6951%  -2.7545% MoM
Italy (EWI):
-0.6951%  -2.7545% MoM
Spain (EWP):
-0.8446%  -0.3044% MoM
Netherlands (EWN):
+0.2605%  +0.8148% MoM
Chile (ECH):
+0.5877%  +0.5138% MoM
Belgium (EWK):
-1.492%  +1.6357% MoM
Germany (EWD):
-0.2446%  -0.8046% MoM
Australia (EWO):
-0.3342%  +2.6388% MoM
China Large-Cap (FXI):
-2.4526%  -4.0833% MoM
Japan (EWJ):
-0.3256%  +1.9885% MoM
India (INDA):
-1.643%  -2.0941% MoM
Taiwan (EWT):
-0.5705%  +9.1603% MoM
Hong Kong (EWH):
-1.1638%  +0.5702% MoM
Singapore (EWS):
-0.8678%  +3.3162% MoM
Indonesia (IDX):
+1.1824%  +5.5507% MoM
Malaysia (EWM):
-0.1421%  +0.2496% MoM
Saudi Arabia (KSA):
-0.1818%  +1.5588% MoM
Arab Emirates (UAE):
+0.8731%  -0.0509% MoM
Qatar (QAT):
+0.9286%  -1.89% MoM
Israel (EIS):
-0.781%  +3.0423% MoM
Kuwait (KWT):
+0.1992%  +1.316% MoM
Africa (AFK):
+0.5373%  +5.1264% MoM
Commodities - 09/08
gold (GLD):
-1.7332%  -0.7006% MoM
silver (SLV):
-0.7523%  -0.0673% MoM
US oil (USO):
+2.867%  +15.9705% MoM
platinium (PPLT):
-0.2424%  +3.4569% MoM
agriculture (DBA):
+0.9705%  +4.7088% MoM
carbon (KRBN):
+0.1147%  +2.0754% MoM
copper (CPER):
+1.5519%  +0.9706% MoM
gaz (UNG):
-0.947%  +3.1558% MoM
corn (CORN):
-0.4983%  +13.2086% MoM
weat (WEAT):
+1.7743%  +12.2865% MoM
uranium (URA):
+3.1264%  +7.0302% MoM
lithium (LIT):
-0.5257%  -1.2711% MoM
Favorites - 09/08
Adobe (ADBE):
-3.4708%  -5.7518% MoM
AMD (AMD):
+5.8986%  +7.7051% MoM
Microsoft (MSFT):
-1.1507%  -2.393% MoM
Nvidia (NVDA):
-2.0099%  +3.7601% MoM
Oracle (ORCL):
+2.3555%  +7.5935% MoM
Axon (AXON):
-1.9858%  -15.2432% MoM
Amazon (AMZN):
-0.5957%  -7.5947% MoM
Alibaba (BABA):
-0.5122%  -14.8579% MoM
JD (JD):
-2.0524%  -17.2991% MoM
ARM (ARM):
+3.7447%  -2.3595% MoM
Intel (INTC):
+9.0501%  +7.1267% MoM
Qualcom (QCOM):
+3.1706%  +7.3503% MoM
Marvel (MRVL):
+0.832%  +8.0792% MoM
Apple (AAPL):
-1.172%  +2.5822% MoM
Lowe (LOW):
-1.7853%  -8.2602% MoM
Sectors - 09/08
SP500 (SPY):
-0.5492%  -0.9146% MoM
healthcare (XLV):
-2.5197%  -0.7777% MoM
finance (XLF):
-1.3769%  -0.8822% MoM
real-estate (XLRE):
-0.0683%  -1.1261% MoM
semi-conductors (SOXX):
+1.6427%  -0.187% MoM
aerospace (ITA):
-0.9219%  -10.9903% MoM
reit (RWR):
+0.1258%  -1.537% MoM
transportation (XTN):
-1.6585%  -5.9628% MoM
agriculture (MOO):
-0.2846%  +7.4338% MoM
clean energy (QCLN):
+2.305%  -2.8434% MoM
Gainers
RiverNorth Opportunities Fund, Inc. Rights (expiring September 23, 2026) +1060%
...
learn more
Green Circle Decarbonize Technology Limited +99.7%
Green Circle Decarbonize Technology Ltd is a provider of energy-saving solutions supported by proprietary phase change thermal energy storage materials and thermal engineering serv...
learn more
Losers
Lianhe Sowell International Group Ltd Class A Ordinary Shares -70.7%
Lianhe Sowell International Group Ltd is a holding company. It has invent and integrate technologies and solutions that address some of the critical manufacturing and distribution ...
learn more
Focus Universal Inc. Common Stock -66%
Focus Universal Inc focuses on commercializing universal smart technology and financial reporting software. It plans to utilize its universal smart technology for smart meters and ...
learn more
Business
Escalation Mechanisms and Economic Warfare in the Iran-U.S. Maritime Conflict
In the news:
🗺 Background:
  • Since 2019, the Strait of Hormuz has seen repeated incidents between Iran and U.S. naval forces amid sanctions and regional disputes.
  • Economic warfare tactics include U.S. sanctions on Iranian oil exports, restricting maritime trade routes and access.
  • Iran-U.S. maritime tensions escalate through vessel seizures, drone surveillance, and naval patrols in the Persian Gulf.
  • The U.S. often responds with increased military presence, deploying warships and enforcing embargoes in the region.
🎩 Key stakeholders:
  • The Islamic Revolutionary Guard Corps Navy (IRGCN) is a primary Iranian military stakeholder in maritime confrontations.
  • U.S. stakeholders include the U.S. Navy's Fifth Fleet, based in Bahrain, and the Office of Foreign Assets Control (OFAC).
  • Major international oil shipping companies, such as Maersk and BP, are affected by disruptions in the Strait of Hormuz.
  • The United Nations Security Council occasionally mediates or comments on escalation mechanisms and potential breaches.
➡ Potential consequences:
  • Near-term risks include disruptions of oil shipments through the Strait of Hormuz, impacting global energy prices.
  • Medium-term escalation may trigger new sanctions, cyber-attacks, and further naval confrontations affecting regional security.
  • International insurance rates for tankers in the Gulf may rise, raising costs for energy transport.
  • Diplomatic efforts may intensify via EU mediators, potentially leading to negotiations or further sanctions.
Top Voices:
Diplomatic Dynamics and Peace Negotiations Between Russia and Ukraine Involving U.S. Envoys
In the news:
🗺 Background:
  • The Russia-Ukraine conflict began in February 2022, following Russia's invasion of Ukraine.
  • Peace negotiations have intermittently involved international mediators, including the United States.
  • Recent diplomatic dynamics focus on efforts to de-escalate hostilities and reach a potential ceasefire.
  • U.S. envoys have played an active role in proposing frameworks for dialogue between Russia and Ukraine.
🎩 Key stakeholders:
  • Key stakeholders include U.S. Secretary of State Antony Blinken, Ukrainian President Volodymyr Zelensky, and Russian President Vladimir Putin.
  • The U.S. Department of State and Russia's Foreign Ministry are major institutional actors in the mediation process.
  • International organizations such as the United Nations, and European Union observers participate in peace negotiation oversight.
  • Envoys and diplomats from Ukraine, Russia, and the U.S. lead bilateral and multilateral discussions.
💡 News facts:
➡ Potential consequences:
  • A failed ceasefire could lead to intensification of military operations in eastern Ukraine in the near term.
  • Successful negotiations may facilitate the return of displaced civilians and stabilization of economic conditions by mid-2027.
  • Continued U.S. involvement may impact geopolitical relations between Russia and Western nations.
  • Breakdown in talks could prompt further international sanctions against Russia and disrupt global energy markets.
Top Voices:
On Wikipedia: https://www.reuters.com/world/europe/us-envoy-meets-ukrainian-officials-peace-talks-2026-09-08/  https://www.bbc.com/news/world-europe-peace-negotiations-68654321  https://edition.cnn.com/2026/09/08/politics/biden-zelensky-call-diplomatic-ukraine/index.html  
Populist Policy Proposals and Their Economic Implications in the French Presidential Election
In the news:
🗺 Background:
  • The 2026 French presidential election is witnessing a surge in populist policy proposals as candidates seek to address economic concerns.
  • France has experienced rising inflation and unemployment, prompting some candidates to push for protectionist measures and increased government spending.
  • Populist platforms often emphasize re-nationalization of industries and stricter immigration controls as economic remedies.
  • The election outcome could reshape France's approach to European integration and fiscal policy.
🎩 Key stakeholders:
  • Marine Le Pen (National Rally) and Jean-Luc Mélenchon (France Insoumise) have proposed significant populist economic reforms.
  • Emmanuel Macron’s centrist government and key institutions, such as Banque de France, are high-profile opponents of populist economic policies.
  • Major French companies like EDF and SNCF are targeted in re-nationalization debates.
  • European Union leadership and regulators are closely watching economic proposals for their EU-wide impacts.
💡 News facts:
➡ Potential consequences:
  • Near-term: Implementation of populist policies could lead to a temporary rise in consumer purchasing power but strain government finances.
  • Medium-term: EU relations may deteriorate if France pursues protectionism, possibly leading to penalties or reduced market access.
  • Near-term: Re-nationalization moves could create uncertainty for investors and fluctuations in stock prices of impacted companies.
  • Medium-term: Increased public spending and price controls may increase inflation risks and challenge fiscal stability.
Top Voices:
On Wikipedia: https://www.lefigaro.fr/politique/le-pen-marseille-plan-energie-20260908  https://www.liberation.fr/economie/melenchon-tv-interview-20260908  https://www.lesechos.fr/politique/macron-warning-populism-20260908  
Growth Trends in AI Server Manufacturing and the Role of Key Players Like Hon Hai and Nvidia
In the news:
🗺 Background:
  • AI server manufacturing has surged globally due to growing demand for high-performance computing in data centers.
  • Taiwanese companies like Hon Hai Precision (Foxconn) play a pivotal role in supplying hardware for AI-driven enterprise solutions.
  • Nvidia’s GPU technologies are fundamental for AI server platforms, making it a core partner for manufacturers.
  • Industry growth is fueled by massive investments in AI infrastructure since mid-2023 across the US and Asia.
🎩 Key stakeholders:
  • Hon Hai Precision Industry (Foxconn) leads the manufacturing of AI servers for global tech firms.
  • Nvidia, the world’s largest AI chip designer, provides critical hardware components for advanced servers.
  • Key institutional stakeholders include Microsoft, Amazon Web Services, and Google, who are primary buyers.
  • Industry analysts from TrendForce and Canalys track AI server deployment statistics worldwide.
💡 News facts:
➡ Potential consequences:
  • Near-term: Accelerated rollouts of AI-based cloud services are likely due to increased server supply capacity.
  • Medium-term: Market dominance by Foxconn and Nvidia could reshape pricing and innovation benchmarks for enterprise servers.
  • Global expansion of AI server manufacturing may shift supply chain strategies, affecting semiconductor and component vendors.
  • Rising investments could prompt regulatory scrutiny around technology transfer and security vulnerabilities.
Top Voices:
On Wikipedia: https://www.digitimes.com/news/ai-server-growth-foxconn-sept2026.html  https://www.ft.com/content/nvidia-ai-server-partnership-2026  https://en.wikipedia.org/wiki/AI_server  https://en.wikipedia.org/wiki/Nvidia  https://en.wikipedia.org/wiki/Hon_Hai_Precision_Industry  
Emerging Tactics and Technology in Mexican Drug Cartel Violence: Drones and IEDs
In the news:
🗺 Background:
  • Mexican drug cartels have increasingly adopted technology-driven tactics in armed conflict against state forces since 2018.
  • Drones modified to carry explosives, including grenades and IEDs, have been used to attack police, military, and rival gangs.
  • Incidents of drone-dropped IEDs have become more frequent in states such as Michoacán, Jalisco, and Guanajuato over the last two years.
  • Cartels such as the CJNG and Sinaloa have been specifically implicated in the rapid escalation and innovation of violence tactics.
🎩 Key stakeholders:
  • The Jalisco New Generation Cartel (CJNG) is a leading innovator in the use of drones and explosives for attacks.
  • Mexican military and law enforcement agencies, including SEDENA and Guardia Nacional, are primary targets and respondents.
  • Private drone manufacturers and distribution companies, mostly international, indirectly supply technology used in cartel violence.
  • Civilians in affected regions, particularly those in Guanajuato, Michoacán, and Jalisco, are frequently casualties of these tactics.
💡 News facts:
➡ Potential consequences:
  • Near-term: Increased casualties among security forces and civilians in regions targeted by CJNG and Sinaloa cartel drone attacks.
  • Near-term: Mexican state responses to drone violence may include stricter technology import controls and increased anti-drone measures.
  • Medium-term: Cartel adoption of more advanced drones and explosives could escalate regional instability and cross-border security threats.
  • Medium-term: International cooperation on drone regulation and tracking technology is likely to intensify.
Top Voices:
On Wikipedia: https://www.eluniversal.com.mx/nacion/carteles-drones-ataque-michoacan-sept-2026  https://www.milenio.com/politica/seguridad/ejercito-drones-IEDs-carteles-sept-2026  https://www.reforma.com/carteles-drones-guanajuato-confiscacion-sept-2026  
Science News
Legal Implications of AI Training on Proprietary Journalism Content: Case Study of The Seattle Times and Newsday vs. OpenAI & Microsoft
In the news:
🗺 Background:
  • On September 4, 2026, The Seattle Times and Newsday filed a federal lawsuit against OpenAI and Microsoft alleging unauthorized use of their journalism for AI training.
  • The suit claims that AI models such as ChatGPT, Microsoft Copilot, and Bing AI were trained using news articles—including content behind paywalls—from both publishers.
  • This legal challenge follows similar copyright infringement lawsuits previously launched by The New York Times and other publishers against AI developers.
  • The core concern is the economic sustainability of journalism when AI systems can provide content that replaces visits or subscriptions to newspaper sites.
🎩 Key stakeholders:
  • Plaintiffs are The Seattle Times (Seattle, WA) and Newsday (Long Island, NY).
  • Defendants are OpenAI, based in San Francisco, and Microsoft, headquartered in Redmond, WA.
  • Alan Fisco, President and CEO of The Seattle Times, is a prominent spokesperson supporting the legal action.
  • Microsoft has provided funding for some journalism initiatives at The Seattle Times, including a joint fellowship in 2024 with OpenAI.
💡 News facts:
➡ Potential consequences:
  • If the plaintiffs prevail, AI developers may face stricter limitations on using proprietary journalism for training, potentially requiring licensing or compensation.
  • News publishers could pursue additional litigation, influencing standards for AI training datasets and fair use interpretations in the U.S. copyright system.
  • AI products relying on news material could be forced to alter their training data, impacting their performance and availability.
  • Journalism business models may gain greater protection from direct competition with AI-generated content in the near- and medium-term.
Top Voices:
On Wikipedia: https://theaiinsider.tech/2026/09/07/seattle-times-and-newsday-sue-openai-microsoft-over-ai-training-on-news-content/  https://www.straitstimes.com/world/united-states/seattle-times-newsday-sue-openai-microsoft-alleging-copyright-infringement  https://money.usnews.com/investing/news/articles/2026-09-04/seattle-times-newsday-sue-openai-microsoft-alleging-copyright-infringement  https://aitoolly.com/ai-news/article/2026-09-06-seattle-times-and-newsday-join-legal-battle-against-openai-and-microsoft-over-ai-training-data  https://www.geekwire.com/2026/seattle-times-sues-microsoft-and-openai-alleging-they-trained-their-ai-on-its-journalism/  
Evaluating the Reliability of AI Recommendations in Outdoor Adventure Planning: Analysis of Google Gemini's Advice to Hikers
In the news:
🗺 Background:
  • Outdoor adventure planning increasingly relies on AI-driven tools such as Google Gemini to offer real-time route and safety recommendations.
  • Previous incidents of hikers relying on inaccurate technology-generated advice have raised questions about reliability and risk.
  • The rapid growth of user-generated content and generative AI in trip planning is influencing decision-making even in high-stakes environments.
🎩 Key stakeholders:
  • Stakeholders include Google, as the developer of Gemini and one of the primary providers of AI-driven recommendations.
  • Outdoor and hiking organizations, such as the American Hiking Society, have an interest in public safety and accurate information.
  • Individual hikers and amateur adventurers increasingly depend on AI guidance for trip planning.
➡ Potential consequences:
  • In the near term, incorrect AI recommendations could lead to accidents, injuries, or rescue operations requiring substantial resources.
  • Medium-term, unreliable or unsafe AI advice could prompt regulatory scrutiny over AI systems used in outdoor navigation.
  • Continued failure to address inaccuracies could erode public trust in AI for travel and safety-critical decision-making.
Top Voices:
Transparency Challenges in AI Data Usage: Investigation into OpenAI's "Wiki Incident" and Disclosure Frameworks
In the news:
🗺 Background:
  • The 'Wiki Incident' refers to a controversy involving OpenAI's alleged use of Wikipedia-derived data to train its AI models without clear consent or attribution.
  • Transparency in AI data usage has been a growing concern, especially as large language models like those from OpenAI rely on vast datasets sourced from the internet.
  • Disclosure frameworks are regulatory or industry guidelines aimed at requiring clear statements about data provenance, handling, and permissions in AI development.
  • Multiple stakeholders, including data originators, users, regulators, and AI companies, have expressed concerns over insufficient transparency in recent high-profile incidents.
🎩 Key stakeholders:
  • OpenAI, the creator of ChatGPT and GPT-4, faces scrutiny over its data sourcing practices.
  • The Wikimedia Foundation, operator of Wikipedia, has raised repeated concerns about third-party use of its content by AI developers.
  • Regulatory bodies such as the European Data Protection Board are examining AI training data transparency under frameworks like the EU AI Act.
  • Notable AI researchers and ethicists, including Timnit Gebru and Emily Bender, have been vocal about the need for clearer AI data disclosure.
💡 News facts:
➡ Potential consequences:
  • In the near-term, AI companies may implement stricter data attribution and transparency policies to avoid legal and reputational risks.
  • Medium-term, new global standards for AI data disclosure could emerge, affecting open source AI development and access to public datasets.
  • Regulators may initiate formal investigations or fines if companies fail to comply with data transparency requests.
  • Public trust in AI model outputs and platforms could decrease if adequate disclosure frameworks are not established promptly.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/09/08/openai-wiki-incident-transparency/  https://www.theverge.com/2026/09/08/openai-wikipedia-wikimedia-request-audit  
Emerging Competition in the Smart Ring Market: Strategies and Innovations by Oura's Rivals Before Its Public Offering
In the news:
🗺 Background:
  • The smart ring market has grown rapidly with increasing consumer demand for wearable health technology since Oura's initial launch in 2015.
  • Oura has dominated the smart ring segment, pioneering continuous health and sleep tracking via its finger-worn device.
  • Several startups and major tech companies have entered the space recently, building on advances in miniaturized sensors and battery innovation.
  • Oura is preparing for an initial public offering (IPO), driving heightened competition and strategic responses from rivals.
🎩 Key stakeholders:
  • Oura Health Oy, the Finland-based leader, is preparing for its IPO and holds a major market share in smart rings.
  • Key competitors include Ultrahuman (India), RingConn (China), and BoAt (India), all launching advanced rings in 2024.
  • Investors such as Forerunner Ventures and celebrities like Shaquille O’Neal have backed health-wearable companies.
  • Technology partners include component suppliers like Valencell and academic collaborators such as Stanford University.
💡 News facts:
➡ Potential consequences:
  • Price competition and the elimination of subscription fees could erode Oura's premium segment and force a shift in its business model in the near term.
  • Rapid innovation cycles might accelerate integration of AI-driven health analytics into smart rings, leading to increased technical differentiation.
  • Market fragmentation and feature escalation could challenge consumer loyalty and increase regulatory scrutiny, especially around health-data privacy.
  • In the medium term, success or failure of Oura's IPO could significantly impact funding and valuation dynamics for the entire smart ring industry.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/09/08/ultrahuman-mass-ai-launch/  https://www.theverge.com/2026/09/07/ringconn-ring-global-launch  https://gadgets360.com/wearables/news/boat-smart-ring-launch-price-battery-life-india-4662722  
Business Model Analysis of Robotaxi and Cybercab Technologies Versus Market Expectations: Re-evaluating Chris Camillo's Stand on Tesla's Stock
In the news:
🗺 Background:
  • Robotaxi and Cybercab technologies refer to autonomous vehicles designed for ride-hailing and fleet services, with business models focused on large-scale, driverless transportation networks.
  • Market expectations for robotaxi companies, especially Tesla, have been shaped by ambitious timelines for full self-driving deployment and scalable revenue streams.
  • Chris Camillo, an influential retail investor, has frequently commented on Tesla’s stock, connecting its valuation to breakthroughs or delays in autonomous driving.
  • The debate centers on whether current robotaxi technology, regulatory progress, and capital investments match the rapidly growing hype and projected financial models.
🎩 Key stakeholders:
  • Tesla, led by CEO Elon Musk, is a leading proponent of robotaxi fleets, aiming to leverage its FSD (Full Self-Driving) technology.
  • Competitors include Alphabet’s Waymo and General Motors’ Cruise, both investing heavily in autonomous vehicle platforms.
  • Investors like Chris Camillo, major institutional holders, and retail traders closely track advancements in robotaxi deployment for stock valuation implications.
  • Regulatory bodies such as the National Highway Traffic Safety Administration (NHTSA) play a critical role in approvals and standards for autonomous fleet operations.
💡 News facts:
➡ Potential consequences:
  • Further positive demonstrations of Tesla’s robotaxi could drive short-term rallies in TSLA stock and inspire copycat moves among rivals.
  • Delays in regulatory approval or safety setbacks, as seen with GM Cruise, could dampen investor sentiment towards the sector in the medium term.
  • Re-evaluation of business models may lead analysts to adjust revenue forecasts, affecting valuations for all public companies in the robotaxi market.
  • A technological breakthrough or a major setback could shift leadership in autonomous ride-hailing and alter the competitive landscape.
Top Voices:
On Wikipedia: https://www.reuters.com/business/autos-transportation/tesla-to-unveil-robotaxi-prototype-2026-09-07/  https://www.wsj.com/articles/gms-cruise-paused-california-robotaxi-2026-09-08/  
Culture
No famous painter from 5th century Europe
"N/A..."
There are no recorded famous painters from 5th century Europe as the art of painting was not yet widely developed or documented during this period....
learn more
Boethius
"Nothing is miserable unless you think it so; and on the other hand, nothing brings happiness unless you are content with it..."
Anicius Manlius Severinus Boethius was a Roman senator, consul, magister officiorum, and philosopher of the early 6th century, whose works were influential throughout the Middle Ages. He is best known for his treatise 'The Consolation of Philosophy' written while he was imprisoned....
learn more
No famous scientist from 5th century Europe
"N/A..."
Scientific activity in 5th century Europe was minimal and not well documented; most scientific knowledge was preserved by scholars in other regions such as the Byzantine Empire and the Islamic world....
learn more
Flavius Aetius
"The empire is only as strong as its borders are secure..."
Flavius Aetius was a Roman general and statesman, known as the 'last of the Romans,' who played a crucial role in defending the Western Roman Empire against various barbarian invasions, particularly the Huns under Attila. He was instrumental in the Battle of the Catalaunian Plains in 451 AD....
learn more
NASA
NASA Picture of the Day
Hubble: Decagon Around Saturn's South Pole
Hubble: Decagon Around Saturn's South Pole (2026-09-08)
Credits: NASA / APOD
Github
Trading tools
Intelligent-Quantitative-Trading 55 stars #110
Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio management and optimization....
learn more
ParadoxTrading 55 stars #111
Flexible quantitative trading framework...
learn more
ECON_5984_CMDA_4984_Data_Science_for_Quantitative_Finance 55 stars #112
This course in applied data science covers the theoretical foundations of advanced quantitative approaches in machine learning, econometrics, risk and portfolio management, algorit...
learn more
Python-for-Financial-Analysis-and-Algorithmic-Trading 55 stars #113
Including packages that frequently used in quantitative finance field and how to implement classic financial model in Quantopian....
learn more
Sea Vessels
BoatTracker-backend 0 stars #110
Back-end for the boat tracking application for Courageous Sailing club...
learn more
Osborn 0 stars #111
Live Tracking Osborn Sail Boat...
learn more
boattracker 0 stars #112
GPS tracking of a boat...
learn more
BoatTracker-ios 0 stars #113
iOS mobile application for the boat tracking service for Courageous Sailing club...
learn more
Air Vessels
planeTracker 3 stars #110
A simple python code to track planes and notify you via webhooks...
learn more
planespotter 3 stars #111
Full stack web application that offers real-time flight tracking and aircraft observation locations around airports...
learn more
info-bottleneck-tracking 3 stars #112
Code for tracking activations/gradients for pytorch models, and for computing the MI-plane...
learn more
Planes_Tracker 3 stars #113
Planes Tracker service. See result ->...
learn more
Imagery
RAW-image-denoising 27 stars #110
Image denoising with Bayer augmentation and neural network...
learn more
Augmentor3D 27 stars #111
A module for 3D image augmentations for deep learning, specifically medical images such as CT, MRI....
learn more
Fruits-And-Vegetable-Detection-for-POS-with-Deep-Learning 27 stars #112
The self-checkout portal at the supermarket gives the idea to the classification of fresh fruits and vegetables. Nowadays, more self-checkout portals are added to the time saving o...
learn more
Image-Augmentation-in-Keras-CIFAR-10- 26 stars #113
Using image augmentation to reach 90.3% accuracy on CIFAR-10 in 100 epochs with a simple CNN. ...
learn more
Video
director 748 stars #110
Direct complete videos with multi-mode workflows for research, scripts, visual development, shot design, media generation, and delivery....
learn more
awesome-text-to-video 744 stars #111
A Survey on Text-to-Video Generation/Synthesis....
learn more
Hunyuan-GameCraft-1.0 741 stars #112
Hunyuan-GameCraft: High-dynamic Interactive Game Video Generation with Hybrid History Condition...
learn more
MagicDrive-V2 729 stars #113
[ICCV 2025] Official implementation of the paper “MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”...
learn more