Risenshine! Here is digest of signals harvested on 2026-09-16.
Markets
International - 09/16
Germany (EWG):
-0.4214%  -3.253% MoM
France (EWQ):
-0.4943%  -6.0458% MoM
United Kingdom (EWU):
-0.2296%  -0.7475% MoM
Italy (EWI):
-0.2627%  -3.6937% MoM
Italy (EWI):
-0.2627%  -3.6937% MoM
Spain (EWP):
+0.1804%  -2.0833% MoM
Netherlands (EWN):
-0.3457%  -7.2727% MoM
Chile (ECH):
-0.1276%  -3.4304% MoM
Belgium (EWK):
-0.0741%  -0.3651% MoM
Germany (EWD):
-0.5241%  -2.3251% MoM
Australia (EWO):
-0.0924%  -1.368% MoM
China Large-Cap (FXI):
-1.2629%  -1.9943% MoM
Japan (EWJ):
-0.6764%  -1.2733% MoM
India (INDA):
-1.7345%  -4.0137% MoM
Taiwan (EWT):
-0.5037%  -1.0482% MoM
Hong Kong (EWH):
-1.1004%  -0.0889% MoM
Singapore (EWS):
-1.5161%  -2.329% MoM
Indonesia (IDX):
-0.8591%  +2.852% MoM
Malaysia (EWM):
-1.0417%  -1.9922% MoM
Saudi Arabia (KSA):
-1.0053%  -1.5781% MoM
Arab Emirates (UAE):
-0.5985%  +2.1004% MoM
Qatar (QAT):
-0.7219%  -1.49% MoM
Israel (EIS):
-0.3333%  +0.0963% MoM
Kuwait (KWT):
-0.292%  +1.8544% MoM
Africa (AFK):
-0.1046%  +1.9936% MoM
Commodities - 09/16
gold (GLD):
+0.3335%  -2.7966% MoM
silver (SLV):
+1.2139%  -3.4245% MoM
US oil (USO):
+3.3193%  +24.2306% MoM
platinium (PPLT):
+1.0692%  0% MoM
agriculture (DBA):
-0.2762%  +2.6297% MoM
carbon (KRBN):
-3.235%  -0.6121% MoM
copper (CPER):
+1.0716%  -3.6382% MoM
gaz (UNG):
+2.0329%  +7.2228% MoM
corn (CORN):
+0.0999%  +8.559% MoM
weat (WEAT):
+0.5732%  +5.28% MoM
uranium (URA):
-0.9955%  -7.6906% MoM
lithium (LIT):
+0.0715%  -8.1584% MoM
Favorites - 09/16
Adobe (ADBE):
-2.9518%  +1.4643% MoM
AMD (AMD):
+2.1868%  -0.3557% MoM
Microsoft (MSFT):
-1.6403%  +3.4912% MoM
Nvidia (NVDA):
+0.5736%  -5.7064% MoM
Oracle (ORCL):
-3.0665%  -4.2959% MoM
Axon (AXON):
-9.8127%  -26.8467% MoM
Amazon (AMZN):
-2.0194%  -4.9328% MoM
Alibaba (BABA):
+0.1007%  -12.3246% MoM
JD (JD):
-0.6236%  -4.9474% MoM
ARM (ARM):
+1.1799%  -10.9052% MoM
Intel (INTC):
-0.0514%  -6.1359% MoM
Mu (MU):
+0.3864%  -8.3173% MoM
Qualcom (QCOM):
+4.2465%  +15.7973% MoM
Marvel (MRVL):
+1.3162%  -5.3898% MoM
Apple (AAPL):
-0.5224%  +8.4263% MoM
Lowe (LOW):
-1.7964%  -9.8235% MoM
Sectors - 09/16
SP500 (SPY):
-0.4587%  -1.9776% MoM
healthcare (XLV):
-0.0537%  +0.3652% MoM
finance (XLF):
-0.3156%  -1.2678% MoM
real-estate (XLRE):
-0.116%  -3.9259% MoM
semi-conductors (SOXX):
+0.2915%  -10.7794% MoM
aerospace (ITA):
-1.2779%  -14.8089% MoM
reit (RWR):
-0.2736%  -3.8597% MoM
transportation (XTN):
-0.5739%  -7.6017% MoM
agriculture (MOO):
+0.2201%  +6.5525% MoM
clean energy (QCLN):
-0.7571%  -11.2302% MoM
Gainers
Market closed! Happy holidays!
Losers
Market closed! Happy holidays!
Business
Impact of the Hormuz Agreement on Gulf Shipping Security and US Influence
In the news:
🗺 Background:
  • The Strait of Hormuz is a strategic chokepoint through which approximately 20% of the world's oil passes, making its security crucial for global energy markets.
  • Regional instability and previous incidents involving Iranian maritime forces have regularly heightened threats to Gulf shipping.
  • The Hormuz Agreement, signed in September 2026, intends to coordinate naval security operations among Gulf states, aiming to reduce piracy and sabotage.
🎩 Key stakeholders:
  • Key signatories to the Hormuz Agreement include Saudi Arabia, the United Arab Emirates, Oman, and Iran.
  • The United States Navy has maintained a longstanding presence in the Gulf, operating the Fifth Fleet headquartered in Bahrain.
  • Major shipping firms like Maersk, MSC, and oil giants such as Saudi Aramco and ExxonMobil depend on secure navigation through the Strait.
  • The International Maritime Organization (IMO) provides regulatory oversight and incident reporting for Gulf shipping lanes.
💡 News facts:
➡ Potential consequences:
  • In the near term, reduced insurance costs and increased coordinated patrols may boost Gulf shipping volume and decrease logistical bottlenecks.
  • US naval influence may diminish in the medium term as Gulf states assume greater security responsibilities, potentially shifting regional power balances.
  • Heightened cooperation between Gulf states and Iran could discourage non-state actors from targeting commercial vessels, reducing incidents of piracy and sabotage.
  • The success or failure of the Agreement may influence future security arrangements for other major maritime corridors worldwide.
Top Voices:
On Wikipedia: https://www.reuters.com/world/middle-east/saudi-iran-hormuz-joint-naval-exercise-2026-09-16/  https://www.aljazeera.com/economy/2026/9/16/lloyds-cuts-gulf-shipping-insurance-hormuz-agreement  
Consequences of Drone and Militia Attacks on Saudi and Gulf Energy Infrastructure
In the news:
🗺 Background:
  • Drone and militia attacks on Saudi and Gulf energy infrastructure have increased since 2019, notably the Abqaiq and Khurais strikes in Saudi Arabia by Houthi forces.
  • These attacks target oil refineries, tankers, and pipelines, causing immediate disruptions to energy supply and global oil prices.
  • Saudi Arabia, UAE, and other Gulf states depend heavily on oil exports, making their infrastructure critical to both regional and global energy markets.
  • Regional tensions, particularly involving Iran-backed militias, have fueled the frequency and sophistication of such attacks.
🎩 Key stakeholders:
  • Saudi Aramco, the state oil giant of Saudi Arabia, is often the main corporate target and operator of affected facilities.
  • The Saudi government and military are responsible for security and response to infrastructure attacks.
  • Iran-backed groups, primarily the Houthis in Yemen, claim responsibility for most drone and missile attacks.
  • Global energy consumers and major financial institutions track developments due to impact on oil prices and economic stability.
💡 News facts:
➡ Potential consequences:
  • Near-term disruptions may lead to a 5-10% spike in Brent crude prices as export capacity is reduced.
  • Medium-term consequences include increased security costs for oil infrastructure and adoption of advanced anti-drone systems across the Gulf.
  • Global supply chains may face instability, prompting renewed diplomatic engagement in the region.
  • Investment in alternative energy sources may accelerate as a risk mitigation response.
Top Voices:
On Wikipedia: https://www.aljazeera.com/economy/2026/09/16/saudi-aramco-shut-ras-tanura-drone-attack  https://www.reuters.com/business/energy/uae-fujairah-drone-strike-operations-2026-09-16/  https://www.arabnews.com/intercepts-jubail-refinery-missiles-2026-09-16  
Divisions Among Global Leaders and Industry over Regulation and Slowdown of Advanced AI Development
In the news:
🗺 Background:
  • Global debate is intensifying over whether to regulate advanced AI due to concerns about safety and economic disruption.
  • Recent breakthroughs in generative AI such as OpenAI's GPT models have heightened urgency among governments and industries.
  • Countries are sharply divided, with the US and EU pushing for formal regulation while others favor voluntary guidelines.
🎩 Key stakeholders:
  • OpenAI, Google, and Microsoft are major AI developers actively participating in regulatory discussions.
  • Institutional stakeholders include the European Commission, the US Department of Commerce, and the UN.
  • Key leaders involved in negotiation include Ursula von der Leyen, Sam Altman, and Sundar Pichai.
💡 News facts:
➡ Potential consequences:
  • Near-term, stalled regulation talks may delay deployment of advanced AI tools in key sectors such as healthcare and finance.
  • Medium-term, regulatory fragmentation could increase compliance costs for multinational AI companies, reducing innovation.
  • Persistent divisions might push some nations to adopt unilateral measures, risking global competitiveness and safety alignment.
Top Voices:
On Wikipedia: https://www.euractiv.com/section/digital/news/eu-ai-act-negotiations-stall-on-transparency-issues/  https://www.reuters.com/technology/openai-ceo-urges-pragmatic-ai-rules-global-ai-summit-2026-09-16/  https://www.un.org/en/global-ai-regulation-fragmentation-warning-2026-09-16  
Tensions over Military Policy and the Readiness of Forces in Anticipated Major Conflict Scenarios
In the news:
🗺 Background:
  • Military policy tensions have increased amid growing concerns about readiness for large-scale conflict scenarios.
  • Major powers including the United States, Russia, and China are accelerating force modernization and strategic planning.
  • Recent international exercises and defense postures have highlighted deficiencies in rapid deployment and interoperability.
  • 2026 sees multiple nations reviewing conscription policies and mobilization strategies in anticipation of potential regional conflicts.
🎩 Key stakeholders:
  • The U.S. Department of Defense, led by Secretary Lloyd Austin, is central to shaping American military readiness.
  • Russian Armed Forces under Defense Minister Sergei Shoigu are prioritizing rapid troop deployment and expanded reserve forces.
  • NATO command structures and European defense ministries are coordinating cross-border deterrence initiatives.
  • Major defense contractors such as Lockheed Martin, Rostec, and BAE Systems are directly involved in supplying and upgrading military assets.
➡ Potential consequences:
  • Near-term, unresolved policy disputes may delay force mobilization and readiness exercises, exposing vulnerabilities.
  • Medium-term, shortages in personnel and logistics could compromise alliance commitments during a major conflict.
  • Ongoing tensions may fuel arms races and prompt accelerated defense spending across both NATO and non-NATO states.
  • Strategic miscalculations driven by incomplete readiness assessments could escalate regional disputes into open conflict.
Top Voices:
On Wikipedia: https://www.rand.org/research/topics/military-readiness.html  https://www.nato.int/cps/en/natohq/topics_48833.htm  https://www.defense.gov/News/Topic/Military-Readiness/  https://www.iiss.org/publications/the-military-balance  https://www.csis.org/programs/international-security-program/military-forces  
Trump's Economic and Foreign Policy Moves: Tariffs, Dividends, and Political Negotiations
In the news:
🗺 Background:
  • President Donald Trump initiated sweeping tariffs on nearly all U.S. trading partners on April 2, 2025, marking what he called Liberation Day.
  • In late February 2026, the U.S. Supreme Court struck down Trump's use of the International Emergency Economic Powers Act, forcing tariff relief and refunds for importers.
  • Trump uses Section 232 and Section 301 powers to reimpose new tariffs and launch sectoral investigations, reshaping U.S. trade policy.
  • Recent actions also include targeted tariff exemptions for specific industries such as aircraft, pharmaceuticals, and agricultural goods.
🎩 Key stakeholders:
  • Donald Trump is the primary policymaker, enacting and revising tariffs and trade deals.
  • Key U.S. importers and manufacturers, including Apollo Global Management, face financial impacts from tariff refunds and liabilities.
  • Major trading partners affected include Canada, Mexico, China, the EU, and countries like Thailand, Vietnam, and India.
  • U.S. institutions impacted include the Supreme Court, federal agencies (USTR), and the Department of Commerce.
💡 News facts:
➡ Potential consequences:
  • Near-term consequence: U.S. manufacturers may accelerate debt reduction due to tariff refunds, and import patterns shift away from China toward Southeast Asia.
  • Medium-term consequence: Rising uncertainty around new Section 301 tariffs may deter investment and hiring, slowing economic growth.
  • Supply chain disruptions and retaliatory tariffs by partners like Canada could increase costs for U.S. firms and consumers.
  • Repeated tariff adjustments and negotiations may undermine U.S. credibility and stability in global trade relationships.
Top Voices:
On Wikipedia: https://www.bloomberg.com/latest/trump-tariffs  https://www.cfr.org/articles/tracking-trumps-trade-deals  https://equitablegrowth.org/the-costs-of-the-trump-administrations-tariffs-diverge-for-countries-and-industries-so-far-in-2026/  https://www.forbes.com/sites/eriksherman/2026/08/23/trumps-desire-to-dominate-other-countries-undercuts-us-economy/  https://www.cfr.org/trade-tariffs-and-trumponomics  
Science News
Strategic diversification in venture capital amidst AI industry concentration (e.g., OpenAI, Anthropic)
In the news:
🗺 Background:
  • Strategic diversification in venture capital refers to spreading investments across multiple sectors to mitigate risks associated with industry concentration.
  • The AI industry is increasingly concentrated around major players such as OpenAI and Anthropic, which have attracted substantial funding since 2023.
  • Venture capitalists are responding to rapid AI advances and market dominance by seeking opportunities beyond core AI research companies.
🎩 Key stakeholders:
  • OpenAI, founded by Sam Altman, leads AI innovation and has received billions in funding since its inception in 2015.
  • Anthropic, co-founded by Dario Amodei, has secured major investments from entities like Google and Amazon in AI safety and governance.
  • Major VC firms such as Sequoia Capital, Andreessen Horowitz, and Tiger Global are actively diversifying portfolios to include sectors impacted by AI.
  • Institutional investors like Fidelity and SoftBank are expanding their AI-related investments through partnerships and multi-sector funds.
💡 News facts:
➡ Potential consequences:
  • Near-term, strategic diversification by VCs may lead to increased funding for startups working on AI applications in healthcare, finance, and logistics.
  • Medium-term, reliance on a few industry leaders like OpenAI and Anthropic could risk stifling competition if broader diversification does not continue.
  • VC diversification could accelerate cross-sector adoption of AI and foster new regulatory conversations around monopoly and innovation.
Top Voices:
On Wikipedia: https://sequoiacap.com/news/new-ai-diversification-fund-2026  https://techcrunch.com/2026/09/15/anthropic-series-c-amazon-google  https://openai.com/blog/fidelity-partnership-2026  
Emerging trends from Y Combinator's Demo Day: Key sectors and early-stage investor perspectives
In the news:
🗺 Background:
  • Y Combinator's Demo Day showcases startups from its accelerator program and is a leading indicator of venture investment trends.
  • The event draws hundreds of early-stage investors and highlights key innovation sectors with high growth potential.
  • Demo Day Spring 2026 took place on September 15, offering a platform for over 200 startups to pitch to global investors.
  • Emerging technology, fintech, and biotech are consistently prominent sectors at recent YC Demo Days.
🎩 Key stakeholders:
  • Y Combinator, led by CEO Garry Tan, is the primary organizer and accelerator behind Demo Day.
  • Major investors attending include Sequoia Capital, Andreessen Horowitz, and angel investors such as Naval Ravikant.
  • Startup founders from companies like OpenAI (Sam Altman) and Stripe (Patrick Collison) frequently attract attention.
  • Institutional participants include Stanford University and MIT, which facilitate research-driven startups.
💡 News facts:
➡ Potential consequences:
  • In the near-term, increased seed funding may accelerate product development and hiring at newly founded biotech and AI startups.
  • Medium-term consequences include major venture capital shifts toward generative AI and climate technologies, potentially reshaping investor portfolios.
  • The prominence of university-linked research startups could strengthen academia-industry collaborations in high-tech sectors.
  • Emerging trends might drive regulatory discussions as new technologies in AI and biotech reach market readiness.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/09/15/y-combinator-demo-day-ai-infrastructure/  https://www.crunchbase.com/news/yc-demo-day-biotech-investors-2026/  https://www.axios.com/2026/09/15/y-combinator-demo-day-climate-tech  
Debates around existential risks from artificial intelligence: Motivations behind industry warnings
In the news:
🗺 Background:
  • Debates about existential risks from artificial intelligence escalated after the March 2023 release of GPT-4 by OpenAI.
  • Industry warnings often cite the potential for AI systems to surpass human intelligence, referencing work by Nick Bostrom and the 2015 Future of Life Institute open letter.
  • Regulatory discussions increased following May 2023 testimonies to the US Senate by Sam Altman about risks and oversight.
  • The term 'existential risk' refers to threats that could cause human extinction or irreversible societal collapse.
🎩 Key stakeholders:
  • OpenAI CEO Sam Altman and DeepMind co-founder Demis Hassabis are central figures in the debate.
  • Key companies issuing warnings include OpenAI, Google DeepMind, and Anthropic.
  • Institutions such as the Center for AI Safety and the Future of Life Institute organize public statements and calls for regulation.
  • Tech investors, notably Elon Musk and Reid Hoffman, have publicly discussed existential risks tied to advanced AI.
💡 News facts:
➡ Potential consequences:
  • Near-term consequences could include increased government oversight, slowing commercial deployment of advanced AI models.
  • Medium-term consequences may involve international standards for AI safety, potentially enforced by bodies like the EU or UN.
  • Public trust in AI technology may decline if existential risks are not transparently addressed by industry leaders.
  • New regulatory frameworks could reshape investment patterns and research priorities across the AI sector.
Top Voices:
On Wikipedia: https://www.safe.ai/news/government-action-statement-2026.html  https://www.anthropic.com/blog/audit-ai-sept-2026  https://www.ft.com/content/deepmind-ai-risk-eur-regulation-sept2026  
Shaping U.S. political agendas for AI regulation: Analysis of Obama's policy recommendations
In the news:
🗺 Background:
  • Barack Obama has recently urged U.S. policymakers to lead global standards for AI regulation, emphasizing safety and oversight concerns.
  • Democrats, spurred by Obama, are aiming to make AI governance a major 2026 midterm election issue.
  • Obama argues that rapid AI development in private hands without government intervention could pose serious risks.
  • Federal legislation may replace the current patchwork of state AI laws, as Commerce Department reviews possible preemption.
🎩 Key stakeholders:
  • Former President Barack Obama is central to the current push for AI regulation, providing institutional credibility and donor access.
  • House Minority Leader Hakeem Jeffries is developing an AI policy framework for Democratic review in fall 2026.
  • Industry CEOs Dario Amodei (Anthropic) and Sam Altman (OpenAI) have discussed AI safety with Obama; Elon Musk also publicly commented.
  • President Donald Trump opposes strict AI guardrails and instead advocates for strong presidential oversight.
💡 News facts:
➡ Potential consequences:
  • If federal standards are enacted, compliance teams may need to overhaul regulatory mapping, impacting operations across multiple states.
  • Worker protection, algorithmic bias, and automated decisions are likely to become central compliance obligations under Democratic proposals.
  • Regulators may intensify scrutiny of enterprise AI before federal legislation passes, increasing short-term regulatory burdens.
  • Federal preemption of state laws could create uniform regulations but disrupt existing multi-jurisdictional strategies.
Top Voices:
On Wikipedia: https://www.usatoday.com/story/news/politics/2026/09/14/obama-ai-tech-leaders-slowdown/91769228007/  https://political.org/2026/09/13/obama-privately-sounds-alarm-on-dangerous-ai-urges-house-minority-leader-hakeem-jeffries-to-put-issue-at-center-of-democratic-agenda/  https://theaiinsider.tech/2026/09/14/obama-urges-democrats-to-prioritize-ai-policy-as-safety-debate-intensifies/  https://www.iheart.com/content/2026-09-15-obama-calls-for-federal-ai-regulation/  https://aigovernance.com/news/obama-democrats-ai-governance-2026-political-priority  
Defense partnerships in fusion startups: Historical context and implications for national security
In the news:
🗺 Background:
  • Defense partnerships in fusion startups have roots in Cold War collaborations between scientific institutes and national security agencies, notably the US Department of Energy and Lawrence Livermore National Laboratory since the 1950s.
  • The intersection of commercial fusion technology and defense has accelerated since the 2020s amid concerns over energy security and global technological competition.
  • National security agencies have provided funding, regulatory guidance, and classified research access to private fusion companies pursuing inertial confinement and magnetic confinement fusion.
🎩 Key stakeholders:
  • Key stakeholders include the US Department of Defense, the Department of Energy, and ARPA-E, as well as private companies such as Helion Energy, TAE Technologies, and Commonwealth Fusion Systems.
  • Prominent individuals in this space include Sam Altman (Helion investor, OpenAI CEO), Michl Binderbauer (TAE Technologies CEO), and scientists like Steven Cowley (director at Princeton Plasma Physics Lab).
  • Academic institutions such as MIT (MIT Plasma Science and Fusion Center) and international agencies like the UK Atomic Energy Authority also contribute scientific and technical leadership.
💡 News facts:
  • No valid recent (last 24 hours) facts found in provided articles; section omitted due to lack of qualifying sources.
➡ Potential consequences:
  • Near-term consequences may include increased government scrutiny and accelerated funding for dual-use fusion technologies, potentially altering startup business models.
  • Medium-term, successful defense partnerships could give fusion startups privileged access to classified materials and boost commercialization but may trigger international rivalries over intellectual property.
  • Growing dependencies between fusion startups and defense agencies could complicate export controls and technology transfer regulations in the next 2-5 years.
  • National security implications include risks of proliferation, safeguarding sensitive designs, and possible impacts on strategic deterrence if fusion-based power or propulsion becomes operational.
Top Voices:
On Wikipedia: https://en.wikipedia.org/wiki/Fusion_power  https://www.energy.gov/science/office-science/fusion-energy-sciences  https://www.helion.com/  https://tae.com/  https://cfs.energy/  
Culture
No famous European painter from the 12th century
"N/A..."
During the 12th century in Europe, the concept of individual painters as renowned artists was not yet developed. Most artistic works were produced anonymously by craftsmen and monks, primarily for religious purposes....
learn more
Chrétien de Troyes
""The best thing is to do the best you can, and then leave the rest to fate..."
Chrétien de Troyes was a French poet and trouvère who is noted for his writing of Arthurian romances in the late 12th century. His works such as 'Lancelot, the Knight of the Cart' helped shape the legend of King Arthur and the Knights of the Round Table....
learn more
Robert Grosseteste
""We must proceed from the known to the unknown, from the more familiar to the more abstruse..."
Robert Grosseteste was an English statesman, scholastic philosopher, theologian, scientist and Bishop of Lincoln. He is considered one of the first in Europe to apply the scientific method and was influential in the development of early medieval science....
learn more
Eleanor of Aquitaine
""I am the grandchild of Charlemagne and will not be made a vassal by anyone..."
Eleanor of Aquitaine was one of the wealthiest and most powerful women in Western Europe during the High Middle Ages. She was Queen consort of France and England and played a significant role in political and cultural developments of the 12th century....
learn more
NASA
Webb's View of M64
Webb's View of M64 (2026-09-16)
Credits: NASA / APOD
Github
Trading tools
ChronosTrade 19 stars #190
ChronosTrade is an enterprise-grade quantitative trading and analytics platform. Engineered for high performance, it delivers a unified pipeline for market data ingestion, dynamic ...
learn more
quant-trading-system 19 stars #191
A high-performance, thread-safe quantitative trading system implementing: CLOB (Central Limit Order Book) L2 order books with fast top-of-book access AMM (Automated Market Maker) ...
learn more
ATQF-Workshop-2022- 19 stars #192
A 5-day workshop starting from April 25 2022 and covers topics from the basics of finance to coding a trading strategy in python. The goal of this workshop is to give the students ...
learn more
martex-quant 19 stars #193
Quantitative research platform for crypto: 120 pre-registered hypotheses, deflated-Sharpe validation, and a permanent ledger of everything that failed. Currently paper trading....
learn more
Sea Vessels
internal-assesement-matematica 0 stars #190
train on the water boat on the track...
learn more
voyage_tracker_sinatra_v1_0 0 stars #191
Tracks boats loaned to skippers for short voyages...
learn more
BoatRace 0 stars #192
Objective: My aim is to create a plugin that allows boats to pass over blocks on the ice without losing speed, and to set up a scoreboard and timer system to track best times on di...
learn more
VesselVigil 0 stars #193
VesselVigil is a web-based boat maintenance tracker...
learn more
Air Vessels
planetesimal-docs 1 stars #190
Documentation and issues tracking for the Planetesimal plugin....
learn more
plane-tracker 1 stars #191
Plane Tracker is an flight tracking and air traffic simulation platform built with Angular, Google Maps, Three.js & Custom Shaders....
learn more
BitPlanes 1 stars #192
Robust Tracking in Low Light and Sudden Illumination Changes...
learn more
fly_tracking_ekf 1 stars #193
Fly Tracking from 2D Observation in Image Plane using an EKF...
learn more
Imagery
CounterSynth 12 stars #190
Code for Equitable modelling of brain imaging by counterfactual augmentation with 3D deep generative models...
learn more
electrical_substation_detection 12 stars #191
Machine Learning based feature extraction of electrical substations from satellite data. Powered by IEEE-ICETCI, RRSC-Central, NRSC, and ISRO, this project incorporates instance se...
learn more
CXR-ACGAN-chest-xray-generator-covid19-pneumonia 12 stars #192
CXR-ACGAN: Auxiliary Classifier GAN (AC-GAN) for Chest X-Ray (CXR) Images Generation (Pneumonia, COVID-19 and healthy patients) for the purpose of data augmentation. Implemented in...
learn more
Vison_advanced 12 stars #193
In this repo advanced vision tools are used . Algorithms for edge detection of various filters and scaling....
learn more
Video
sdk 338 stars #190
AI video generation SDK — JSX for videos. One API for Kling, Flux, ElevenLabs, Veed. Built on Vercel AI SDK....
learn more
lynx 335 stars #191
Lynx: Towards High-Fidelity Personalized Video Generation...
learn more
improved-video-gan 328 stars #192
GitHub repository for "Improving Video Generation for Multi-functional Applications"...
learn more
Awesome-Physics-Cognition-based-Video-Generation 328 stars #193
A comprehensive list of papers investigating physical cognition in video generation, including papers, codes, and related websites....
learn more