Risenshine! Here is digest of signals harvested on 2026-06-19.
Markets
International - 06/18
Germany (EWG):
+0.3868%  -1.2369% MoM
France (EWQ):
+1.0143%  +3.1292% MoM
United Kingdom (EWU):
-1.0017%  -1.793% MoM
Italy (EWI):
+0.7314%  +5.5933% MoM
Italy (EWI):
+0.7314%  +5.5933% MoM
Spain (EWP):
+0.2719%  +5.7337% MoM
Netherlands (EWN):
+1.4028%  +11.0867% MoM
Chile (ECH):
-0.8535%  +3.2504% MoM
Belgium (EWK):
-0.3332%  +1.3979% MoM
Germany (EWD):
+0.8211%  +0.5192% MoM
Australia (EWO):
+0.4201%  +11.0165% MoM
China Large-Cap (FXI):
-1.0401%  -8.2139% MoM
Japan (EWJ):
+1.9164%  +6.612% MoM
India (INDA):
+1.0599%  +4.8868% MoM
Taiwan (EWT):
+4.6428%  +22.4424% MoM
Hong Kong (EWH):
-0.2812%  -10.0211% MoM
Singapore (EWS):
+0.6759%  +1.9507% MoM
Indonesia (IDX):
+0.726%  -2.6316% MoM
Malaysia (EWM):
-0.326%  -6.0751% MoM
Saudi Arabia (KSA):
+0.4685%  +0.2858% MoM
Arab Emirates (UAE):
+3.7736%  +8.4177% MoM
Qatar (QAT):
+0.3195%  +1.6959% MoM
Israel (EIS):
+2.0667%  -4.9324% MoM
Kuwait (KWT):
-0.0278%  +0.305% MoM
Africa (AFK):
-2.7386%  +0.9198% MoM
Commodities - 06/18
gold (GLD):
-0.3809%  -5.9247% MoM
silver (SLV):
-1.8149%  -11.0463% MoM
US oil (USO):
+0.5603%  -24.9019% MoM
platinium (PPLT):
-1.9145%  -11.7681% MoM
agriculture (DBA):
-0.7824%  -5.8345% MoM
carbon (KRBN):
+0.2704%  +5.1226% MoM
copper (CPER):
+0.5694%  +3.2687% MoM
gaz (UNG):
+1.4693%  -1.3445% MoM
corn (CORN):
-1.1662%  -9.5518% MoM
weat (WEAT):
-1.1207%  -8.9683% MoM
uranium (URA):
+1.4437%  +1.2288% MoM
lithium (LIT):
-1.1075%  +0.4524% MoM
Favorites - 06/18
Adobe (ADBE):
-0.5706%  -23.4637% MoM
AMD (AMD):
+4.8568%  +29.7838% MoM
Microsoft (MSFT):
+0.1293%  -9.1083% MoM
Nvidia (NVDA):
+2.9514%  -4.4966% MoM
Oracle (ORCL):
+0.4141%  +1.5596% MoM
Axon (AXON):
+0.0922%  +7.9166% MoM
Amazon (AMZN):
+2.9011%  -5.7646% MoM
Alibaba (BABA):
-0.3165%  -21.041% MoM
JD (JD):
-1.2182%  -14.8548% MoM
ARM (ARM):
+4.9131%  +96.9348% MoM
Intel (INTC):
+10.6441%  +20.9296% MoM
Qualcom (QCOM):
+6.1699%  +15.5922% MoM
Marvel (MRVL):
+7.2667%  +76.1956% MoM
Apple (AAPL):
+0.6961%  -0.3211% MoM
Lowe (LOW):
+2.2691%  +1.7539% MoM
Sectors - 06/18
SP500 (SPY):
+0.7801%  +1.7731% MoM
healthcare (XLV):
-0.8692%  +1.4119% MoM
finance (XLF):
-0.8881%  +4.8337% MoM
real-estate (XLRE):
-0.2502%  -0.1821% MoM
semi-conductors (SOXX):
+6.623%  +28.7293% MoM
aerospace (ITA):
-1.5651%  +9.4678% MoM
reit (RWR):
+0.2449%  +1.0145% MoM
transportation (XTN):
+1.7112%  +12.9539% MoM
agriculture (MOO):
-0.427%  -5.0111% MoM
clean energy (QCLN):
+5.2597%  +12.053% MoM
Gainers
Market closed! Happy holidays!
Losers
Market closed! Happy holidays!
Business
Analyzing Kevin Warsh’s Impact on Fed Strategy and Market Reactions
In the news:
🗺 Background:
  • Kevin Warsh served as a Federal Reserve governor from 2006 to 2011, contributing to post-crisis monetary policy decisions.
  • Warsh’s perspectives strongly influenced debates about asset purchases and inflation targeting during the recovery after the 2008 financial crisis.
  • His approach often favored quicker normalization and more hawkish stances compared to other Fed officials.
🎩 Key stakeholders:
  • Kevin Warsh, former Fed governor, remains influential in monetary policy discourse.
  • Federal Reserve leadership, including Jerome Powell and other FOMC members, are impacted by Warsh’s recommendations.
  • Major financial institutions and market analysts track Warsh’s statements for insights into US rate decisions.
💡 News facts:
➡ Potential consequences:
  • In the near-term, Warsh’s critiques may prompt FOMC members to reconsider the pace of rate increases and policy tightening.
  • Medium-term effects could include heightened market volatility and shifts in investor sentiment if Fed messaging becomes less clear.
  • Ongoing public debate may lead to more transparency and robust discussion about inflation risks and asset bubble prevention.
Top Voices:
On Wikipedia: https://www.bloomberg.com/news/articles/2026-06-18/kevin-warsh-fed-strategy-market-reactions  https://www.reuters.com/markets/warsh-fed-reaction-volatility-2026-06-18/  
The Strategic Consequences of US AI Model Restrictions on Global Competition
In the news:
🗺 Background:
  • The US government has imposed new restrictions on the export of advanced AI models to foreign entities since early 2024.
  • These restrictions target generative AI systems such as large language models and are designed to prevent potential misuse by adversaries.
  • Global tech competition has intensified, with China and the EU accelerating investments in AI despite US policy changes.
  • Past strategic technology controls, such as semiconductor bans, have influenced global supply chains and innovation rates.
🎩 Key stakeholders:
  • Key stakeholders include the US Commerce Department, Nvidia, OpenAI, and Chinese tech firms like Baidu and Tencent.
  • The European Union and the UK are actively monitoring and responding to US AI export restrictions.
  • Major universities and research institutes, including MIT and Stanford, have issued policy briefs assessing the impact.
  • Political figures such as Gina Raimondo (US Secretary of Commerce) and Chinese regulators have publicly commented on the new restrictions.
💡 News facts:
➡ Potential consequences:
  • In the near term, US technology firms may lose market share in Asia as Chinese firms accelerate indigenous AI innovation.
  • Medium-term consequences include potential fragmentation of global AI standards and interoperability challenges.
  • Allied nations may push for coordinated standards or alternative export policies to mitigate strategic risk.
  • Competitive retaliation could target US tech industries in other domains, such as quantum computing or cybersecurity.
Top Voices:
On Wikipedia: https://www.reuters.com/technology/us-tightens-export-controls-ai-models-2026-06-18/  https://www.bloomberg.com/news/articles/2026-06-18/nvidia-shares-fall-us-ai-export-controls-tighten  https://www.ft.com/content/china-ai-investment-response-us-controls  
Evaluating the G7’s Plan to Limit China’s Rare Earth Market Share and Its Feasibility
In the news:
🗺 Background:
  • China currently controls over 70% of global rare earth element production as of 2024, critical for electronics and green technologies.
  • The G7, comprising Canada, France, Germany, Italy, Japan, the UK, and the US, announced measures to reduce Chinese rare earth dominance at their June 2026 summit.
  • Rare earths such as neodymium and dysprosium are vital for manufacturing electric vehicles, wind turbines, and advanced defense systems.
  • Disruptions in rare earth supply have led to previous global market volatility, notably during China’s 2010 export restrictions.
🎩 Key stakeholders:
  • Xi Jinping leads the Chinese government and oversees policy decisions impacting global rare earth supply chains.
  • The U.S. Department of Commerce and European Commission are tasked with developing alternative supply strategies among G7 members.
  • Major companies affected include Tesla, Siemens, and General Electric, all dependent on rare earth imports for critical production.
  • Mining companies like MP Materials (USA), Lynas Rare Earths (Australia), and Shenghe Resources (China) are central to supply chain diversification.
💡 News facts:
➡ Potential consequences:
  • In the near-term, G7 investment may spur increased output from U.S. and Australian rare earth producers, reducing immediate supply risks.
  • China could retaliate with renewed export controls or price manipulation, creating uncertainty for global manufacturers.
  • Medium-term, the G7 initiative may lead to higher capital costs and environmental scrutiny for new rare earth mining projects outside China.
  • Success would diversify rare earth supply chains, potentially stabilizing prices and reducing geopolitical leverage by China by 2028.
Top Voices:
On Wikipedia: https://www.ft.com/content/g7-rare-earths-framework  https://www.reuters.com/business/japan-g7-rare-earth-subsidy-2026-06-18/  https://www.wsj.com/europe-g7-rare-earths-vestager-2026-06-18  
Examining SpaceX’s Post-IPO Corporate Governance and Stock Stability Risks
In the news:
🗺 Background:
  • SpaceX is a private aerospace company founded by Elon Musk in 2002, known for pioneering reusable rocket technology.
  • The company is preparing for an Initial Public Offering (IPO), with analysts projecting significant shifts in governance and stock stability.
  • Post-IPO scenarios raise concerns about the influence of public shareholders on SpaceX's strategic direction.
  • Corporate governance will transition from founder-centric control to more formal structures with independent oversight.
🎩 Key stakeholders:
  • Elon Musk, SpaceX's founder and CEO, remains the central figure in corporate decisions.
  • Institutional investors such as private equity firms are expected to play a larger role post-IPO.
  • Regulatory bodies including the SEC will oversee SpaceX's public filings and compliance after IPO.
  • Current employees and early investors may face new restrictions and opportunities for selling shares.
➡ Potential consequences:
  • Near-term volatility in SpaceX stock may arise due to speculative trading immediately after IPO.
  • Medium-term, public shareholders could pressure for short-term profits, potentially impacting long-term innovation.
  • Corporate governance reforms may alter executive incentives and reporting structures, increasing transparency.
  • Risk of dilution for early investors as new shares are issued to meet public demand.
Top Voices:
Impacts of India’s Infrastructure Financing on Local Industry Amid Climate Challenges
In the news:
🗺 Background:
  • India has initiated large-scale infrastructure financing projects to support economic growth and industrial modernization since 2015.
  • Climate challenges, such as extreme heat and unpredictable storms, increasingly threaten infrastructure investments and local manufacturing operations in India.
  • The government has aimed to mobilize over $1.5 trillion in infrastructure investments by 2025, targeting sectors like transport, energy, and urban development.
  • Infrastructure policies frequently intersect with climate adaptation needs, requiring collaborative efforts from public and private entities.
🎩 Key stakeholders:
  • The Indian Ministry of Finance, National Investment and Infrastructure Fund (NIIF), and Reserve Bank of India play major roles in infrastructure financing.
  • Major industrial stakeholders include Larsen & Toubro, Tata Infrastructure, Adani Group, and Mahindra Group.
  • International financial institutions such as the World Bank and Asian Development Bank provide funding and technical support.
  • Local governments and industry associations are involved in implementing climate-resilient infrastructure strategies.
💡 News facts:
➡ Potential consequences:
  • In the near term, increased financing for climate-resilient infrastructure may boost employment and stabilize supply chains in affected local industries.
  • Medium-term consequences may include enhanced competitiveness of Indian manufacturing through improved resilience and productivity.
  • Successful adaptation could foster greater foreign investment and international partnerships in India's industrial sector.
  • However, delays in climate adaptation may exacerbate production losses and disrupt trade, posing risks to sustained growth.
Top Voices:
On Wikipedia: https://economictimes.indiatimes.com/news/india/infrastructure-climate-finance-june18-2026/articleshow/104500001.cms  https://www.financialexpress.com/economy/tata-infrastructure-adb-green-supply-chain-june18-2026/3412540/  https://www.business-standard.com/article/economy-policy/larsen-toubro-world-bank-flood-resilient-gujarat-june19-2026-126061900004_1.html  
Science News
The Economic Impact of AI on SpaceX’s Revenue Trajectory Compared to the Micron Case
In the news:
🗺 Background:
  • SpaceX, led by Elon Musk, has accelerated integration of AI-driven systems for satellite manufacturing and launch scheduling since 2023.
  • Micron Technology, a leader in memory and storage solutions, has experienced revenue fluctuations due to global AI chip demand shifts.
  • AI implementation is seen as a revenue multiplier by reducing operational costs and opening new service and product offerings in both SpaceX and Micron.
  • Recent financial analyses compare the revenue trajectory of SpaceX, boosted by Starlink, with Micron's market responses to AI hardware demand.
🎩 Key stakeholders:
  • Elon Musk, CEO of SpaceX, is directly influencing corporate direction regarding AI investments and operational pivots.
  • Sanjay Mehrotra is CEO of Micron Technology, overseeing the company's response to global AI-driven market trends.
  • Major institutional investors include Vanguard Group and BlackRock, with high exposure to both SpaceX (privately held) and Micron stock.
  • AI trends are monitored and regulated by entities such as the U.S. Securities and Exchange Commission and the Department of Commerce.
💡 News facts:
➡ Potential consequences:
  • SpaceX's sustained AI-driven revenue growth could reinforce its market dominance in commercial satellite launches and internet services over the next 12-18 months.
  • Micron may face continued revenue pressure unless it resolves AI chip supply chain constraints, possibly impacting investor confidence in the near to medium term.
  • AI policy interventions could slow or redirect investment strategies for both companies if new regulations take effect in 2027.
  • Broader adoption of AI across aerospace and semiconductor industries may lead to increased M&A and R&D activity as companies vie for competitive advantage.
Top Voices:
On Wikipedia: https://www.cnbc.com/2026/06/18/spacex-q2-2026-earnings-report-ai-starlink.html  https://www.reuters.com/technology/micron-reports-q2-2026-drop-revenue-due-ai-chip-bottlenecks-2026-06-18/  https://www.whitehouse.gov/briefing-room/statements-releases/2026/06/18/ai-supply-chain-security-briefing-june-2026/  
The Effects of AI Integration on Consumer Technology Pricing: The Apple iPhone Example
In the news:
🗺 Background:
  • Apple began integrating AI features such as on-device Siri enhancements and generative AI in iOS starting with the iPhone 15 Pro models in 2023.
  • AI-powered functions in consumer tech devices typically require advanced chipsets, such as Apple's A17 Pro, which increase production costs.
  • Historically, the introduction of new technologies in smartphones, including AI, has been correlated with price hikes across premium product lines.
  • The competitive smartphone market is influenced by AI adoption cycles, often forcing rapid upgrades to hardware and software.
🎩 Key stakeholders:
  • Apple Inc., led by CEO Tim Cook, is the primary driver of AI integration in the iPhone ecosystem.
  • Key suppliers include TSMC for chip manufacturing and other component manufacturers adapting to AI requirements.
  • Consumers, notably in North America and Europe, are directly affected by price changes linked to AI feature rollouts.
  • Regulatory institutions, such as the European Commission, scrutinize the transparency and fairness of AI-enabled product pricing.
💡 News facts:
➡ Potential consequences:
  • Near-term, consumers may face higher upgrade costs and incentives to purchase newer iPhones due to limited AI feature support on older models.
  • In the medium-term, competing manufacturers could accelerate their AI hardware integration, potentially raising average smartphone prices industry-wide.
  • Stronger scrutiny from regulatory bodies could prompt new guidelines around price disclosures and fair marketing of AI-enabled devices.
  • Software ecosystem fragmentation may occur as only newer devices receive advanced AI functionalities.
Top Voices:
On Wikipedia: https://www.theverge.com/2026/06/18/apple-iphone-18-ai-features-price-increase  https://www.bloomberg.com/news/articles/2026-06-18/apple-iphone-18-ai-chip-costs-pricing-impact  https://www.reuters.com/technology/apple-exclusive-ai-features-iphone-18-2026-06-18  
Enterprise Venture Investment Strategies in India’s AI-Powered Data Center Infrastructure
In the news:
🗺 Background:
  • India's AI-powered data center infrastructure is rapidly expanding to meet the growing demands of cloud, fintech, and e-commerce sectors.
  • Enterprise venture investment strategies are targeting AI and data center innovation to capture market share in an increasingly digital economy.
  • India's data center market is projected to reach $8 billion by 2026, driven by both domestic and global investors.
  • Government incentives and regulatory easing are further propelling infrastructure funding and technological partnerships.
🎩 Key stakeholders:
  • Major stakeholders include enterprises like Reliance Jio, Hiranandani Group (Yotta), and global players such as Amazon Web Services and Google Cloud.
  • Venture capital firms including Sequoia Capital, Accel, and Lightspeed Ventures are actively investing in India's data infrastructure ecosystem.
  • Policy institutions like NITI Aayog influence strategic direction via digital infrastructure and AI adoption roadmaps.
  • Tech industry leaders such as Sundar Pichai (Google) and Mukesh Ambani (Reliance) are involved in high-level decisions influencing the sector.
➡ Potential consequences:
  • Near-term, accelerated venture flows are likely to drive rapid innovation in data center efficiency and AI model deployment.
  • Medium-term, India's leadership in AI-infrastructure could attract further foreign direct investment and heighten regional competition.
  • Policy responses to data localization and AI ethics may shape the investment landscape and technology export controls.
  • Enhanced AI-powered infrastructure can result in new business models and efficiencies for sectors like healthcare, logistics, and education.
Top Voices:
On Wikipedia: https://en.wikipedia.org/wiki/Data_center_industry_in_India  https://en.wikipedia.org/wiki/Venture_capital_in_India  https://en.wikipedia.org/wiki/Artificial_intelligence_in_India  
Advances in Formal Verification for AI Applications in High-Stakes Industries
In the news:
🗺 Background:
  • Formal verification is a mathematical method used to prove the correctness of algorithms and AI models, crucial in high-stakes applications.
  • Industries such as healthcare, autonomous vehicles, and finance increasingly require formal verification to ensure safety and compliance.
  • Recent advancements incorporate formal verification tools with machine learning frameworks like TensorFlow and PyTorch.
  • The integration of formal verification addresses risks from AI system failures in critical domains.
🎩 Key stakeholders:
  • Key stakeholders include research institutions such as MIT CSAIL, Stanford AI Lab, and Oxford University.
  • Companies investing heavily include Google DeepMind, IBM Research, and Intel.
  • Regulatory bodies involved are the European Union’s AI Act Workgroup and the US National Institute of Standards and Technology (NIST).
  • Prominent individuals such as Shafi Goldwasser, John Launchbury, and Leslie Lamport are influential in the field.
💡 News facts:
➡ Potential consequences:
  • In the near-term, regulatory agencies may mandate formal verification for AI systems in medical devices and autonomous vehicles.
  • Medium-term, increased trust in AI systems may accelerate adoption across traditionally risk-averse industries like insurance and energy.
  • Companies that adapt formal verification early could see competitive advantages due to increased compliance and safety.
  • Improved AI dependability may lead to fewer catastrophic failures and enhance public trust in machine learning solutions.
Top Voices:
On Wikipedia: https://www.ibm.com/research/blog/formal-verification-ai-finance-june2026  https://www.csail.mit.edu/news/ai-verification-healthcare-2026  https://ai.stanford.edu/news/verified-autonomous-safety-tesla-2026  
Arctic Ocean Phytoplankton Dynamics and the Risks to Marine Food Webs from Sea Ice Decline
In the news:
🗺 Background:
  • Phytoplankton are microscopic organisms forming the base of Arctic Ocean marine food webs.
  • Declining sea ice, notably since 1990, alters sunlight exposure, affecting phytoplankton growth rates.
  • Major blooms in the Arctic occur in spring and summer when sea ice melts, increasing nutrients and light.
  • Rapid warming in the Arctic, with temperatures rising about twice the global average, drives ecosystem shifts.
🎩 Key stakeholders:
  • The Alfred Wegener Institute for Polar and Marine Research studies Arctic ocean ecosystem changes.
  • NASA's Earth Science Division monitors sea ice dynamics and phytoplankton distributions via satellite.
  • The Arctic Monitoring and Assessment Programme (AMAP) provides scientific advice to governments.
  • Local Inuit communities depend on marine food webs sustained by phytoplankton productivity.
💡 News facts:
➡ Potential consequences:
  • Increased phytoplankton blooms may initially boost zooplankton populations, impacting fish stocks in 2026–2028.
  • Rapid changes in bloom timing and intensity could disrupt established feeding cycles for Arctic cod and seabirds.
  • Sea ice retreat exposes the ecosystem to increased risks from invasive species and shifting nutrient regimes.
  • Medium-term food web instability threatens indigenous subsistence fisheries and commercial operations by 2030.
Top Voices:
On Wikipedia: https://www.nature.com/articles/s41586-026-04218  https://www.climate.gov/news-features/arctic-2026-phytoplankton  https://www.amap.no/documents/doc/arctic-ocean-food-webs/4383  https://science.nasa.gov/climate-impacts/arctic-ocean-ecosystems/  https://www.awi.de/en/science/climate-science/arctic-ocean-ecosystems.html  
Culture
No notable European painter from the 11th century
"N/A..."
The 11th century in Europe was part of the early medieval period, where painting was primarily religious and created by anonymous artists within monasteries. Due to the lack of individual recognition and documentation, no famous painters by modern standards are known from this century....
learn more
Dante Alighieri
"N/A..."
Dante Alighieri was actually born in 1265, hence he does not belong to the 11th century. The 11th century had few recorded individual writers in Europe with wide fame; most works were anonymous or religious texts....
learn more
Avicenna (Ibn Sina)
"The knowledge of anything, since all things have causes, is not acquired or complete unless it is known by its causes..."
Avicenna, a Persian polymath from the Islamic Golden Age, lived from 980 to 1037 and made significant contributions to medicine, philosophy, and science that influenced Europe. His works, particularly 'The Canon of Medicine,' were used as standard medical texts in medieval European universities....
learn more
William the Conqueror
"I have the heart of a warrior, and I will hold onto my kingdom by the strength of my sword..."
William the Conqueror (circa 1028–1087) was the first Norman King of England, reigning from 1066 after his victory at the Battle of Hastings. He significantly shaped the course of English history by introducing Norman culture and governance....
learn more
NASA
NASA Picture of the Day
Starry Night II
Starry Night II (2026-06-19)
Credits: Rodrigo Guerra, Original Painting: Vincent van Gogh
Github
Trading tools
WolfAlpha 15 stars #200
An autonomous agent that generates and refines quantitative trading strategies using Google's Gemini API and the WorldQuant BRAIN platform....
learn more
om_quant_fin 15 stars #201
OM Quant Fin is a modern Python library for quantitative trading analysis. Our mission is to make your quant life easier and more accurate....
learn more
futures-app 15 stars #202
Application to execute trades and monitor performance of perpetual futures quantitative trading strategy....
learn more
BinanceQuantTrader 15 stars #203
Binance Quantitative Trader is an advanced low latency trading engine designed to automate and optimize trading strategies on the Binance exchange....
learn more
Sea Vessels
Fishing-Boat-Management-System 0 stars #200
A software for fishing boat owners inorder to keep track of the affairs of his/her boats ...
learn more
autonomous-boat 0 stars #201
An embedded system project of building an autonomous boat that tracks a red blob and stops when an obstacle is detected....
learn more
SmallBoatMoveDat 0 stars #202
Recreational boat movement track data for "Population-level consequences of recreational boats on Danish Belt Sea harbour porpoises"...
learn more
WheresTheFrontEnd 0 stars #203
Where's The?! The complete tram, train, bus, boat tracker!...
learn more
Air Vessels
Plane-Shooting-Game 1 stars #200
Created a 2D modeled shoot and click game with three difficulty levels, point tracking, storage of a high score and some animation using distributed systems. I designed the entire...
learn more
PantherHacks_2025 1 stars #201
A collaborative project working towards tracking CO2 Emissions of planes and their associated routes...
learn more
Aerialcharge-MainProject 1 stars #202
bachelors Main Project- Planes understand path/Track via Machine Learning ...
learn more
OpenGL-Planet-Renderer 1 stars #203
This is mostly just a working directory for me to keep track of my learning process...
learn more
Imagery
CMMCoT 11 stars #200
[AAAI'26] Official implementation of CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory Augmentation...
learn more
Vison_advanced 11 stars #201
In this repo advanced vision tools are used . Algorithms for edge detection of various filters and scaling....
learn more
Cats-vs-Dogs-CNN-Keras 11 stars #202
The famous Cats-vs-Dogs dataset. I have used a self laid ConvNet to classify the image into 2 classes either a Dog or a Cat. The images used are of 100*100 pixels each. The images ...
learn more
voxynth 10 stars #203
Image synthesis and augmentation...
learn more
Video
DreamID-Omni 268 stars #200
[ICML 2026] DreamID-Omni: Unified Framework for Controllable Human-Centric Audio-Video Generation...
learn more
Hallo-Live 267 stars #201
Hallo-Live: Real-Time Streaming Joint Audio-Video Avatar Generation...
learn more
VideoGen-Eval 266 stars #202
VideoGen-Eval: Agent-based System for Video Generation Evaluation...
learn more
FluidFrames 264 stars #203
FluidFrames | video AI frame-generation app...
learn more