Risenshine! Here is digest of signals harvested on 2026-06-09.
Markets
International - 06/09
Germany (EWG):
+0.0712%  -0.917% MoM
France (EWQ):
+0.4189%  +0.1319% MoM
United Kingdom (EWU):
+0.1078%  -0.4716% MoM
Italy (EWI):
+1.051%  -1.0794% MoM
Italy (EWI):
+1.051%  -1.0794% MoM
Spain (EWP):
-0.2289%  -0.5616% MoM
Netherlands (EWN):
+1.5854%  +1.7871% MoM
Chile (ECH):
-1.5536%  -7.7184% MoM
Belgium (EWK):
-0.4123%  +0.5639% MoM
Germany (EWD):
+0.844%  +0.2537% MoM
Australia (EWO):
-0.2745%  -0.2745% MoM
China Large-Cap (FXI):
-0.2014%  -7.446% MoM
Japan (EWJ):
+1.3558%  -0.336% MoM
India (INDA):
-0.2746%  -2.499% MoM
Taiwan (EWT):
+2.396%  +3.3762% MoM
Hong Kong (EWH):
+0.1375%  -10.1562% MoM
Singapore (EWS):
+0.0698%  -0.761% MoM
Indonesia (IDX):
-2.9442%  -24.8428% MoM
Malaysia (EWM):
-0.2866%  -7.6642% MoM
Saudi Arabia (KSA):
+2.2703%  -2.1967% MoM
Arab Emirates (UAE):
+1.0811%  -2.6042% MoM
Qatar (QAT):
-1.9871%  -4.4503% MoM
Israel (EIS):
+1.5311%  -7.4556% MoM
Kuwait (KWT):
-1.4595%  -2.778% MoM
Africa (AFK):
+0.7639%  -8.4981% MoM
Commodities - 06/09
gold (GLD):
+0.2599%  -8.6% MoM
silver (SLV):
+0.0162%  -21.0513% MoM
US oil (USO):
+1.6013%  -2.5314% MoM
platinium (PPLT):
-1.6069%  -17.4959% MoM
agriculture (DBA):
-0.2652%  -7.0597% MoM
carbon (KRBN):
+0.0308%  +1.1823% MoM
copper (CPER):
+1.2342%  -2.1325% MoM
gaz (UNG):
-2.5707%  +1.3369% MoM
corn (CORN):
-0.2345%  -9.2751% MoM
weat (WEAT):
+0.3142%  -6.8362% MoM
uranium (URA):
+1.3463%  -19.7624% MoM
lithium (LIT):
-1.5453%  -15.859% MoM
Favorites - 06/09
Adobe (ADBE):
-2.5652%  -0.4713% MoM
AMD (AMD):
+5.1353%  +6.8746% MoM
Microsoft (MSFT):
-1.1832%  -0.2229% MoM
Nvidia (NVDA):
+1.726%  -4.9216% MoM
Oracle (ORCL):
-0.8705%  +9.2757% MoM
Axon (AXON):
-3.098%  +19.4492% MoM
Amazon (AMZN):
-0.3292%  -8.8368% MoM
Alibaba (BABA):
-0.8178%  -12.5492% MoM
JD (JD):
-1.0042%  -6.3544% MoM
ARM (ARM):
+1.009%  +62.8921% MoM
Intel (INTC):
+11.1929%  -14.81% MoM
Mu (MU):
+9.8691%  +19.3567% MoM
Qualcom (QCOM):
+0.8475%  -8.3189% MoM
Marvel (MRVL):
+9.633%  +69.0763% MoM
Apple (AAPL):
-1.8872%  +3.0272% MoM
Lowe (LOW):
-1.3144%  -8.0023% MoM
Sectors - 06/09
SP500 (SPY):
+0.2264%  -0.0108% MoM
healthcare (XLV):
-0.2353%  +6.7184% MoM
finance (XLF):
-0.631%  +1.5436% MoM
real-estate (XLRE):
-1.4989%  -1.2116% MoM
semi-conductors (SOXX):
+5.8692%  +7.2622% MoM
aerospace (ITA):
-0.9545%  +0.562% MoM
reit (RWR):
-1.1611%  -0.6244% MoM
transportation (XTN):
+1.5978%  +11.1035% MoM
agriculture (MOO):
-1.2723%  -5.2619% MoM
clean energy (QCLN):
+0.2281%  -0.9657% MoM
Gainers
Market closed! Happy holidays!
Losers
Market closed! Happy holidays!
Business
Impact of US labor market data and federal policy shifts on gold and bond markets
In the news:
🗺 Background:
  • The US labor market data—including nonfarm payroll reports—are critical in influencing Federal Reserve policy decisions.
  • Recent policy shifts by the Federal Reserve, such as changes to interest rates or forward guidance, directly impact the pricing of gold and US Treasuries.
  • Gold is typically viewed as a safe-haven asset during times of economic uncertainty, while bond yields move inversely to bond prices and are sensitive to Fed signals.
  • Market participants closely monitor monthly labor statistics to anticipate central bank action and subsequent movements in gold and bond markets.
🎩 Key stakeholders:
  • The Federal Reserve, led by Chair Jerome Powell, makes monetary policy decisions that affect gold and bond markets.
  • Major investment firms such as BlackRock and Goldman Sachs are key players in both gold and bond sectors.
  • US Treasury Department oversees the issuance and management of government bonds.
  • Reporters, analysts, and economists from institutions like Bloomberg and Reuters provide market-moving commentary following key data releases.
💡 News facts:
➡ Potential consequences:
  • Near-term, gold may sustain gains as investors seek safety amid uncertainty over US labor market conditions.
  • Bond yields may remain suppressed if the Federal Reserve pauses rate hikes, potentially increasing demand for Treasuries.
  • Medium-term, further shifts in labor data or Fed policy could drive volatility in both gold and bond markets and impact capital flows.
  • Continued Fed caution may influence broader asset allocation strategies among institutional investors.
Top Voices:
On Wikipedia: https://www.bloomberg.com/news/articles/2026-06-08/gold-prices-rise-on-us-payroll-data  https://www.reuters.com/markets/bonds/us-bond-market-fed-guidance-2026-06-08  https://www.cnbc.com/2026/06/08/federal-reserve-pause-rate-hikes-after-labor-market-data  
Consequences of deficit-driven Treasury debt issuance on mortgage rates and broader housing affordability
In the news:
🗺 Background:
  • The U.S. Treasury issues debt to finance government deficits, impacting financial markets.
  • Higher Treasury issuance can push up yields, especially on 10-year Treasury notes, closely tied to mortgage rates.
  • Mortgage rates often move in tandem with Treasury yields, notably affecting housing affordability.
  • Deficit-driven debt issuance surged following pandemic fiscal stimulus and ongoing federal spending.
🎩 Key stakeholders:
  • The Federal Reserve adjusts policy in response to bond market conditions, influencing mortgage rates.
  • Mortgage lenders such as Wells Fargo and JPMorgan Chase are affected by changing Treasury yields.
  • Homebuyers and real estate investors face direct impacts from rising mortgage rates.
  • Government agencies like the U.S. Department of Treasury and HUD are critical in monitoring housing and debt markets.
➡ Potential consequences:
  • Near-term: Elevated Treasury supply may sustain higher mortgage rates, increasing monthly payments for new borrowers.
  • Near-term: Housing demand could weaken further, driving up affordability challenges and reducing home purchase activity.
  • Medium-term: Persistently high mortgage rates may stall new construction and hurt broader economic growth.
  • Medium-term: Policy responses could include additional support for affordable housing or debt reduction efforts.
Top Voices:
On Wikipedia: https://en.wikipedia.org/wiki/United_States_Treasury_securities  https://en.wikipedia.org/wiki/Mortgage-backed_security  https://www.hud.gov/program_offices/housing  https://www.federalreserve.gov/  https://www.investopedia.com/terms/t/treasurybill.asp  
Legal and regulatory battles shaping recreational fishing in the US, particularly red snapper-related injunctions
In the news:
🗺 Background:
  • Recreational fishing in the US is governed by federal and state regulations, with particular attention given to species like red snapper due to overfishing concerns.
  • The Gulf of Mexico Fishery Management Council and NOAA Fisheries regulate red snapper quotas, which frequently spark legal challenges.
  • Red snapper seasons are often shortened due to quota overruns and conservation targets, creating tension among anglers, regulators, and commercial interests.
  • Legal injunctions have played a central role in reshaping access to red snapper, ranging from federal lawsuits to local court actions.
🎩 Key stakeholders:
  • NOAA Fisheries and the Gulf of Mexico Fishery Management Council are primary regulators overseeing red snapper quotas and enforcement.
  • Angler advocacy groups, such as the American Sportfishing Association, routinely challenge regulatory decisions impacting recreational access.
  • Commercial fishing companies and state wildlife agencies are heavily involved in stakeholder negotiations and legal battles.
  • Federal courts, particularly in Louisiana and Texas, have issued recent injunctions impacting red snapper management policies.
💡 News facts:
➡ Potential consequences:
  • Near-term, the Louisiana injunction may extend the red snapper recreational season, impacting catch rates and quota monitoring.
  • Disputes may delay federal quota resets, potentially shifting management authority to state agencies in the Gulf region.
  • Medium-term regulatory uncertainty could lead to reduced clarity for both recreational and commercial fishers, impacting regional economies.
  • Court and Council decisions may set precedent for similar legal actions in other Gulf states, influencing national recreational fishing policy.
Top Voices:
On Wikipedia: https://www.fisheriesnewsnow.com/injunction-snappers-louisiana-2026  https://www.gulfcouncilupdates.com/emergency-meeting-june8  https://www.sportfishpolicy.org/red-snapper-litigation-asa-june8  
Sustainability of Russia’s military campaigns in Ukraine amid economic, manpower, and logistical strains
In the news:
🗺 Background:
  • Since 2022, Russia has conducted sustained military operations in Ukraine, resulting in massive expenditures and international sanctions.
  • Western sanctions have targeted Russian energy exports and banking sectors, significantly reducing Moscow's access to global financial markets.
  • Manpower issues have driven Russia to mobilize reservists and expand recruitment efforts to support extended combat operations.
  • Logistical strains, including disrupted supply lines and equipment losses, have impacted operational effectiveness along several frontlines.
🎩 Key stakeholders:
  • President Vladimir Putin and the Russian Ministry of Defence direct command strategies and mobilization policies.
  • The Wagner Group, a private military company, has played a crucial role in combat operations but has experienced leadership changes.
  • The United States, NATO members, and the European Union are principal suppliers of support to Ukraine and drivers of sanctions.
  • Russian state-owned enterprises like Gazprom and prominent oligarchs such as Yevgeny Prigozhin are affected by war-related restrictions.
💡 News facts:
➡ Potential consequences:
  • Near-term, Russia may face further battlefield setbacks due to mounting equipment losses and supply disruptions.
  • Medium-term, continued financial and manpower constraints could compel Moscow to reduce operational tempo or seek negotiated settlements.
  • Escalating sanctions could negatively affect Russia’s domestic economy, increasing public discontent and complicating mobilization efforts.
  • Additional strain on logistics may force Russia to prioritize resources and limit the geographical scope of its military campaigns.
Top Voices:
On Wikipedia: https://www.reuters.com/world/europe/ukraine-says-russia-lost-40-tanks-kharkiv-2026-06-09/  https://www.ft.com/content/russia-us-sanctions-military-2026-06-09  https://www.bbc.com/news/world-europe-russian-truck-protest-68430241  
Investor and institutional strategies around the historic SpaceX IPO, including JPMorgan's role and market anticipation
In the news:
🗺 Background:
  • SpaceX is preparing for an initial public offering (IPO) that is considered one of the most anticipated market events of the decade.
  • Investors expect SpaceX's IPO to break records, building on its valuation of over $150 billion as of June 2024.
  • Previous private rounds have involved prominent institutional investors seeking strategic stakes ahead of IPO.
  • JPMorgan has been confirmed as one of the lead underwriters for the SpaceX IPO, which could take place within the next 12 months.
🎩 Key stakeholders:
  • Elon Musk, CEO and founder of SpaceX, is the largest individual stakeholder and principal decision-maker.
  • JPMorgan Chase & Co. is named as a leading underwriter for the IPO process, coordinating institutional investor access.
  • Vanguard, Fidelity, and Sequoia Capital are among the top institutional investors expected to anchor the public offering.
  • Regulatory review by the U.S. Securities and Exchange Commission (SEC) will shape the final IPO timetable and disclosures.
💡 News facts:
➡ Potential consequences:
  • In the near-term, increased demand for private SpaceX shares may drive up secondary market valuations even ahead of the public listing.
  • A successful IPO could boost confidence in commercial space ventures and prompt further public offerings in adjacent sectors.
  • Medium-term, new regulatory scrutiny and disclosure requirements post-IPO could impact SpaceX's operational flexibility.
  • JPMorgan's involvement may reinforce its market leadership in technology and aerospace investment banking mandates.
Top Voices:
On Wikipedia: https://www.wsj.com/articles/jpmorgan-to-lead-spacex-ipo-2026-06-08  https://www.reuters.com/markets/deals/spacex-ipo-jpmorgan-lead-2026-06-08  
Science News
Technical and commercial implications of mobile-based AI coding agent platforms
In the news:
🗺 Background:
  • Mobile-based AI coding agent platforms leverage smartphones and tablets to enable users to generate, test, and deploy code using artificial intelligence.
  • These platforms incorporate large language models (such as OpenAI's GPT-4, Anthropic's Claude, and Google Gemini) that interpret natural language prompts for code generation.
  • The mobile AI coding market grew rapidly in 2023, with over 20% of new developer tools launched as mobile-first solutions.
  • Mainstream adoption is driven by the proliferation of 5G networks and improvements in on-device AI processing.
🎩 Key stakeholders:
  • Key companies include OpenAI, Microsoft (via GitHub Copilot), Google, Amazon, and ByteDance.
  • Notable figures include Sam Altman (OpenAI), Sundar Pichai (Google), and Satya Nadella (Microsoft).
  • Academic institutions such as MIT, Stanford, and Tsinghua University are conducting research on mobile-edge AI coding.
  • Venture capital firms like Sequoia Capital and Andreessen Horowitz have funded startups focusing on mobile AI coding agents.
💡 News facts:
➡ Potential consequences:
  • Near-term, mobile-based AI coding platforms may increase productivity for freelance and remote developers, especially in emerging markets.
  • These tools could disrupt traditional desktop IDE vendors as mobile-first solutions attract a younger developer demographic.
  • Medium-term risks include security vulnerabilities due to increased code generation on less controlled mobile devices.
  • Cloud computing costs may rise for providers as on-device inference is still limited for complex tasks, pushing more workloads to servers.
Top Voices:
On Wikipedia: https://www.openai.com/blog/gpt4o-mobile-assistant-launch  https://github.blog/copilot-mobile-multimodal-announcement  
Community skepticism towards AI in software development: Key arguments and impacts
In the news:
🗺 Background:
  • Community skepticism toward AI-driven software development is increasing due to concerns about transparency, code quality, and long-term maintenance.
  • Past high-profile security issues, such as the SolarWinds hack in December 2020, have intensified doubts about entrusting essential systems to AI-written code.
  • The rise of AI-assisted development platforms like GitHub Copilot (launched June 2022) has sparked public debate regarding developer deskilling and intellectual property risks.
  • Recent 2024 surveys from Stack Overflow report that 61% of developers now have reservations about adopting AI in core development cycles.
🎩 Key stakeholders:
  • Key companies such as Microsoft (GitHub Copilot), Google (Gemini AI), and OpenAI (ChatGPT) are accelerating AI's integration into software development tools.
  • Developer communities, such as the Apache Software Foundation and Free Software Foundation, play a major role in voicing collective concerns over AI-written code.
  • Prominent researchers, including Timnit Gebru and Margaret Mitchell, influence public discourse on responsible AI development and community engagement.
  • Regulatory bodies like the European Union with its AI Act (approved March 2024) set important compliance frameworks for software companies using AI.
💡 News facts:
➡ Potential consequences:
  • In the near term, software reliability may decrease as teams struggle to vet and maintain code generated by evolving, non-transparent AI systems.
  • Medium-term impacts could include regulatory intervention and new industry guidelines as community pressure forces platform providers like Microsoft and Google to increase code auditability.
  • Broad adoption of AI tools could accelerate workforce deskilling if traditional programming practices are sidelined.
  • Long-term, legal disputes over code ownership and liability are likely to rise as more companies adopt AI code solutions without robust governance.
Top Voices:
On Wikipedia: https://www.theregister.com/2026/06/08/developer_ai_gemini_expansion  https://techcrunch.com/2026/06/08/stackoverflow-ai-restrictions/  
Cost optimization strategies in large language model-driven coding agents
In the news:
🗺 Background:
  • Large language model (LLM)-driven coding agents automate software development tasks using advanced neural networks.
  • Managing cloud compute costs is a critical challenge as LLMs require significant GPU and memory resources for training and inference.
  • Cost optimization strategies include dynamic resource allocation, model quantization, and workload scheduling.
  • Enterprise adoption is accelerating, leading to demand for scalable and financially sustainable AI infrastructure.
🎩 Key stakeholders:
  • OpenAI, Google DeepMind, and Meta are leading firms developing and deploying LLM-driven coding tools.
  • Cloud providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud play a central role in LLM hosting and scaling.
  • Major enterprise adopters include GitHub (Microsoft Copilot), and enterprise DevOps teams integrating LLM agents.
  • Academic institutions such as Stanford and MIT contribute research on optimization algorithms and benchmarking.
💡 News facts:
  • No valid recent articles within the last 24 hours with reliable URLs were provided for news facts. This section remains empty.
➡ Potential consequences:
  • Near-term consequence: Tech companies could reduce operational costs by 20-30% through adoption of optimized scheduling and quantization for LLM agents.
  • Widespread optimization may accelerate adoption in medium-sized enterprises and reduce barriers to remote dev teams.
  • In the medium-term, cost efficiencies might drive broader software automation, impacting the roles of junior and mid-level developers.
  • Potential for market consolidation among providers of LLM platforms and associated cost-optimization solutions.
Top Voices:
On Wikipedia: https://arxiv.org/abs/2305.05916  https://distill.pub/2023/large-language-models/  https://llama.meta.com/  https://aws.amazon.com/machine-learning/mlops/  https://paperswithcode.com/task/code-generation  
Corporate strategies and leadership transitions in AI-driven biotech startups
In the news:
🗺 Background:
  • AI-driven biotech startups are leveraging machine learning to accelerate drug discovery and optimize research and development processes.
  • Corporate strategies in this sector often focus on agile innovation, high-risk capital investments, and rapid scaling to exploit bioscience breakthroughs.
  • Leadership transitions can significantly impact strategic direction, especially as founding scientists are increasingly replaced by experienced industry executives.
  • The sector is characterized by collaborations with pharmaceutical giants and frequent venture capital funding rounds to maintain competitive edges.
🎩 Key stakeholders:
  • Key companies include Insitro, Recursion Pharmaceuticals, and BenevolentAI, all specializing in integrating AI with biotechnology.
  • Notable leaders in the field are Daphne Koller (founder and CEO of Insitro), Chris Gibson (CEO of Recursion), and Joanna Shields (CEO of BenevolentAI).
  • Major institutional stakeholders involve top venture capital firms such as Andreessen Horowitz and major pharmaceutical companies including Novartis and GSK.
  • Regulatory oversight comes from agencies like the FDA, which monitor AI applications in drug development.
💡 News facts:
➡ Potential consequences:
  • Strategic leadership changes may accelerate the transition of AI-based therapies from discovery to human trials in the next 12-18 months.
  • Substantial new funding rounds are likely to intensify competition among AI-biotech startups for proprietary algorithmic advantages and pharma partnerships.
  • Expanded partnerships with established pharmaceutical companies could shorten drug development timelines and reshape merger-and-acquisition activity.
  • Ongoing regulatory scrutiny may lead startups to invest heavily in compliance infrastructure and transparent algorithmic validation protocols.
Top Voices:
On Wikipedia: https://biotechnewsdaily.com/insitro-leadership-update  https://techfinancetoday.com/recursion-series-d  https://medtechinsights.com/benevolentai-gsk-alliance  
The financial and infrastructural race for AI computing capacity: Data center investments and major contracts
In the news:
🗺 Background:
  • Global demand for AI computing is driving a surge in data center investments and infrastructure expansion.
  • Major tech firms and cloud providers are vying to secure advanced chips, land, and power for large-scale AI deployments.
  • The AI data center market is projected to surpass $100 billion in annual investment by 2026.
  • Capacity constraints in energy, real estate, and chip supply chains are intensifying competition among stakeholders.
🎩 Key stakeholders:
  • Nvidia, Microsoft, Google, and Amazon are leading in AI infrastructure investment and procurement.
  • Data center REITs like Equinix and Digital Realty are expanding rapidly to meet cloud hyperscaler demand.
  • Construction firms such as Jacobs Solutions and McCarthy Building Companies are securing billion-dollar AI data center contracts.
  • Government agencies and utility companies are increasingly involved due to high power requirements.
💡 News facts:
➡ Potential consequences:
  • Short-term power grid strain may delay AI facility deployments and prompt closer regulator scrutiny.
  • Medium-term, dominant players with early capacity investment will consolidate market share in cloud AI services.
  • Growing infrastructure expenditures may fuel innovation in energy efficiency, chip design, and data center cooling.
  • Societal and environmental debates over land and water use around massive AI data centers are likely to intensify.
Top Voices:
On Wikipedia: https://www.wsj.com/tech/microsoft-invests-in-wisconsin-datacenter-ai-2026-06-08  https://www.reuters.com/technology/amazon-nvidia-h100-contract-2026-06-08/  https://www.datacenterdynamics.com/en/news/digital-realty-400mw-dallas-expansion-2026-06-08/  
Culture
There is no well-documented famous painter from the 10th century Middle East
"N/A..."
During the 10th century in the Middle East, most visual art was expressed through calligraphy, manuscript illumination, and architectural decoration rather than individual painters. Artistic traditions focused on religious and decorative arts, with few surviving records of individual painters....
learn more
Al-Mutanabbi
"If you want to be respected, respect yourself..."
Al-Mutanabbi (915–965) was a celebrated Arab poet known for his eloquent and powerful poetry, often praising kings and rulers while also exploring themes of ambition and pride. He is considered one of the greatest classical Arabic poets....
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Al-Razi (Rhazes)
"The physician who cannot take care of himself cannot take care of others..."
Al-Razi (865–925) was a Persian polymath, physician, and philosopher who made significant contributions to medicine, chemistry, and philosophy. He authored numerous influential medical texts and is considered one of the greatest medical scholars of the Islamic Golden Age....
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Sayf al-Dawla
"The sword is the key to the heart of the enemy..."
Sayf al-Dawla (c. 916–967) was a Hamdanid ruler and military leader who established a powerful emirate in northern Syria and is remembered for his patronage of arts and culture, including supporting poets like Al-Mutanabbi. He played a significant role in defending the region against Byzantine incur...
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NASA
NASA Picture of the Day
Thor's Helmet
Thor's Helmet (2026-06-09)
Credits: Josep Drudis, Christian Sasse
Github
Trading tools
QuantRL-Lab 58 stars #100
Reinforcement Learning Testbed for Quantitative Trading...
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transformerquant 57 stars #101
A framework for training and evaluating deep learning models in Quantitative trading domain...
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CQF 57 stars #102
This repository stores several Jupyter Notebooks that were developed while studying for the Certificate in Quantitative Finance....
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Quantitative-Trading 56 stars #103
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Sea Vessels
capstone_boat_tracking 0 stars #100
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Tracking-bio-boats 0 stars #101
Tracking bio boats was a game developed in python ...
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boat-tracking-project 0 stars #102
A silly little website for boat telemetry...
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boattracker 0 stars #103
GPS Sailboat tracking application...
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Air Vessels
XPilotView 3 stars #100
An MEMS Gyro based head tracker for X-Plane 11....
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CamAR 3 stars #101
Simple AR app built with ARKit. Meant to show plane detection and object placement and tracking....
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python-adsb-geozoning-tracker 3 stars #102
Track planes in and out of a geofence using python and pyModeS...
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FR24-Feeder-Redesign 3 stars #103
Revamping FR24 Feeder's web interface for ADS-B data sharers on Raspberry Pi. Modernized design, real-time plane tracking info. ...
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Imagery
sota-data-augmentation-and-optimizers 29 stars #100
This repository contains some of the latest data augmentation techniques and optimizers for image classification using pytorch and the CIFAR10 dataset...
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CNN-Image-Classification-and-Flask-Deployment 29 stars #101
CNN based Image Classification on CIFAR-10 dataset, along with data augmentation and deployment of the trained CNN model using Flask. (Python)...
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transforms 29 stars #102
Image augmentation with simultaneous transformation of keypoints, bounding boxes, and segmentation mask...
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ADNI-brain-MRI-alzheimer-WGAN-generation-and-classification 29 stars #103
Brain T1-Weighted MRI Images Classification and WGAN Generation (Alzheimer's and Healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trained on ADNI ...
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Video
Adversarial_Video_Generation 747 stars #100
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun....
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Awesome-Controllable-Video-Generation 741 stars #101
[ArXiv 2025] A survey about controllable video generation: This repo is the official awesome of "Controllable video generation: A survey"...
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awesome-text-to-video 730 stars #102
A Survey on Text-to-Video Generation/Synthesis....
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Hunyuan-GameCraft-1.0 723 stars #103
Hunyuan-GameCraft: High-dynamic Interactive Game Video Generation with Hybrid History Condition...
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