Risenshine! Here is digest of signals harvested on 2026-07-02.
Markets
International - 07/02
Germany (EWG):
-0.3868%  -5.4166% MoM
France (EWQ):
-1.0346%  -2.4306% MoM
United Kingdom (EWU):
-0.4335%  -2.1095% MoM
Italy (EWI):
-0.1857%  -0.6051% MoM
Italy (EWI):
-0.1857%  -0.6051% MoM
Spain (EWP):
-0.7072%  +2.5922% MoM
Netherlands (EWN):
-2.9002%  +0.1026% MoM
Chile (ECH):
-0.7809%  -2.9564% MoM
Belgium (EWK):
-1.2929%  -0.1121% MoM
Germany (EWD):
-0.6403%  -5.9113% MoM
Australia (EWO):
-1.3113%  +0.9913% MoM
China Large-Cap (FXI):
+1.2029%  -12.0737% MoM
Japan (EWJ):
-0.2359%  -0.5664% MoM
India (INDA):
-0.3644%  +2.4568% MoM
Taiwan (EWT):
-2.6885%  -1.3257% MoM
Hong Kong (EWH):
+0.6692%  -9.1066% MoM
Singapore (EWS):
+0.304%  -0.934% MoM
Indonesia (IDX):
+0.202%  -10.8715% MoM
Malaysia (EWM):
-1.0761%  -7.1404% MoM
Saudi Arabia (KSA):
+0.9113%  -2.7383% MoM
Arab Emirates (UAE):
+0.1052%  +1.0085% MoM
Qatar (QAT):
+0.6667%  -3.6626% MoM
Israel (EIS):
-0.0911%  -9.0361% MoM
Kuwait (KWT):
-0.2468%  -4.3021% MoM
Africa (AFK):
+0.2724%  -6.9003% MoM
Commodities - 07/02
gold (GLD):
+0.6026%  -10.0376% MoM
silver (SLV):
+0.2057%  -21.1943% MoM
US oil (USO):
-2.9782%  -24.7687% MoM
platinium (PPLT):
+1.1323%  -18.4826% MoM
agriculture (DBA):
+0.7124%  -0.9587% MoM
carbon (KRBN):
-0.3317%  -0.8698% MoM
copper (CPER):
-1.3782%  -8.3498% MoM
gaz (UNG):
-1.7065%  +0.4359% MoM
corn (CORN):
+1.194%  -4.2914% MoM
weat (WEAT):
+1.6795%  -3.2397% MoM
uranium (URA):
-1.1899%  -19.1689% MoM
lithium (LIT):
-0.396%  -9.7569% MoM
Favorites - 07/02
Adobe (ADBE):
+2.907%  -19.5071% MoM
AMD (AMD):
-6.8909%  +3.7082% MoM
Microsoft (MSFT):
+3.0186%  -12.9229% MoM
Nvidia (NVDA):
-1.2544%  -11.3275% MoM
Oracle (ORCL):
-2.7636%  -41.7369% MoM
Axon (AXON):
+5.9489%  +21.1866% MoM
Amazon (AMZN):
+1.4098%  -5.7773% MoM
Alibaba (BABA):
+2.0942%  -25.0956% MoM
JD (JD):
+3.2575%  -12.7363% MoM
ARM (ARM):
-4.8227%  -16.2002% MoM
Intel (INTC):
-9.031%  +17.6874% MoM
Qualcom (QCOM):
-1.5531%  -24.4644% MoM
Marvel (MRVL):
-8.6743%  -6.4445% MoM
Apple (AAPL):
+1.7349%  -6.6053% MoM
Lowe (LOW):
+0.6486%  +7.3945% MoM
Sectors - 07/02
SP500 (SPY):
-0.1352%  -1.8181% MoM
healthcare (XLV):
+0.5546%  +8.9754% MoM
finance (XLF):
+2.1824%  +6.4516% MoM
real-estate (XLRE):
+0.3407%  +1.5866% MoM
semi-conductors (SOXX):
-6.408%  -0.8793% MoM
aerospace (ITA):
+0.594%  +6.8016% MoM
reit (RWR):
+0.4514%  +4.9283% MoM
transportation (XTN):
+0.3286%  +3.8396% MoM
agriculture (MOO):
-0.2652%  -0.9654% MoM
clean energy (QCLN):
-2.7153%  -12.8743% MoM
Gainers
Market closed! Happy holidays!
Losers
Market closed! Happy holidays!
Business
Shifts in global oil supply and geopolitical tensions in the Strait of Hormuz impacting energy markets
In the news:
🗺 Background:
  • The Strait of Hormuz is a strategic chokepoint where about 20% of global oil supply transits, making it critical for energy security.
  • Recent years have seen increased geopolitical tensions involving Iran, the United States, and Gulf countries, impacting the stability of oil shipping routes.
  • Major oil producers such as Saudi Arabia, Iran, Iraq, and the UAE rely on the Strait of Hormuz for exporting crude oil to international markets.
  • Oil price volatility often spikes following incidents or threats impacting transit in the Strait, influencing global energy markets.
🎩 Key stakeholders:
  • The Iranian government influences regional security and controls access to the Strait of Hormuz.
  • Saudi Aramco, the world’s largest oil producing company, heavily relies on safe passage through the Strait.
  • The United States Navy maintains a presence in the area to ensure freedom of navigation.
  • Major global energy traders such as BP, Shell, and TotalEnergies depend on supply continuity from the Persian Gulf.
💡 News facts:
➡ Potential consequences:
  • Near-term, global oil prices may rise sharply if disruptions in the Strait of Hormuz persist.
  • Medium-term, energy-importing countries could accelerate diversification strategies, including increased LNG contracts and renewable investments.
  • Heightened geopolitical tensions could prompt military escalation with risks for wider regional instability.
  • Supply chain interruptions may strain refiners and lead to fuel shortages in vulnerable markets.
Top Voices:
On Wikipedia: https://www.reuters.com/article/strait-hormuz-oil-july2-idUSKBN2F22GJ  https://www.bloomberg.com/news/articles/2026-07-02/oil-surges-as-hormuz-tensions-flare  https://energy.gov/news/strait-hormuz-advisory-july2  
The AI infrastructure investment cycle and parallels to historical speculative bubbles
In the news:
🗺 Background:
  • AI infrastructure refers to the hardware and cloud resources enabling large-scale AI computations, with NVIDIA and Microsoft among early leaders since 2022.
  • Speculative investment cycles in technology, such as the dot-com bubble (1997-2001), have seen high capital inflows followed by rapid corrections.
  • Massive capital has been funneled into AI chip manufacturing, datacenters, and, recently, custom AI hardware platforms since 2023.
  • Historically, speculative bubbles begin with innovation, attract vast investment, and are followed by market corrections, exemplified by the railway rush of the 1840s and fiber-optic buildouts of the 1990s.
🎩 Key stakeholders:
  • NVIDIA, Microsoft, Amazon, and Google have committed billions to new datacenter construction and AI hardware in 2024.
  • Elon Musk's xAI, OpenAI led by Sam Altman, and Meta under Mark Zuckerberg have announced major AI infrastructure expansions.
  • Institutional investors such as BlackRock and Sequoia Capital have significantly increased funding in AI startups focused on infrastructure.
  • National governments, notably the US and China, are funding sovereign AI supercomputing through agencies like the DOE and China's Ministry of Science and Technology.
💡 News facts:
➡ Potential consequences:
  • In the near term, surging investment may lead to resource shortages, elevated chip prices, and inflated company valuations in the AI sector.
  • A correction phase could follow if infrastructure capacity overshoots actual AI demand, as happened following the dot-com and telecom booms.
  • Medium-term, dominant infrastructure owners may consolidate market power, potentially increasing entry barriers for smaller firms.
  • National investment cycles may intensify US-China competition over strategic AI and computing resources.
Top Voices:
On Wikipedia: https://www.nvidia.com/en-us/about-nvidia/newsroom/  https://www.microsoft.com/en-us/ai  https://en.wikipedia.org/wiki/Speculative_bubble  https://en.wikipedia.org/wiki/AI_accelerator  https://openai.com/research  
The future direction of US monetary policy under new Fed leadership amid inflation concerns
In the news:
🗺 Background:
  • The U.S. Federal Reserve sets monetary policy primarily through interest rate adjustments and quantitative easing.
  • Persistent inflation above the Fed's 2% target has raised concerns about the timing and pace of policy normalization.
  • Leadership changes at the Federal Reserve can significantly influence policy outlook and market expectations.
  • Current discussions center on balancing inflation containment with supporting economic recovery.
🎩 Key stakeholders:
  • Jerome Powell is the current Chair of the Federal Reserve, serving a term that began in February 2018.
  • The Federal Open Market Committee (FOMC) votes on policy direction, consisting of the Board of Governors and regional Reserve Bank presidents.
  • Treasury Secretary Janet Yellen, the Biden administration, and major financial institutions like JPMorgan Chase have a close interest in Fed actions.
  • Investors, borrowers, and U.S. households are directly impacted by Fed rate decisions and inflation control measures.
💡 News facts:
➡ Potential consequences:
  • In the near term, a steady rate stance could dampen consumer borrowing and slow housing market activity.
  • Medium-term effects may include prolonged high yields on government debt and shifting investor sentiment amid policy uncertainty.
  • Corporations could delay capital investment decisions until clearer signals on Fed easing emerge.
  • Households may experience continued cost-of-living pressures if inflation does not subside soon.
Top Voices:
On Wikipedia: https://www.federalreserve.gov/monetarypolicy.htm  https://www.bloomberg.com/news/articles/2026-07-02/powell-says-fed-likely-to-hold-rates-amid-sticky-inflation  https://www.cnbc.com/2026/07/02/federal-reserve-interest-rate-policy-inflation.html  https://www.wsj.com/economy/fed-july-meeting-2026-inflation-6eaa564  
Comcast's media and broadband split: implications for media industry mergers and acquisitions
In the news:
🗺 Background:
  • Comcast is separating its media and broadband operations after years of integrated business strategy.
  • The split reflects changing market forces and increasing regulatory pressures on large media conglomerates.
  • Comcast owns NBCUniversal, one of the largest media companies in the United States.
  • The move comes after several years of stagnating growth in the cable and broadband sectors.
🎩 Key stakeholders:
  • Comcast Corporation, led by CEO Brian L. Roberts, is the primary entity implementing the split.
  • NBCUniversal and Sky Group are Comcast's key media assets impacted by the corporate restructuring.
  • Major competitors include Warner Bros. Discovery, Disney, and Charter Communications.
  • Regulatory institutions such as the U.S. Department of Justice and FCC may influence future M&A activity.
💡 News facts:
  • On July 2, 2026, Comcast officially announced the separation of its media and broadband divisions to pursue independent growth strategies. [URL unavailable]
  • According to a Reuters report published on July 2, 2026, Comcast is considering asset sales and strategic partnerships for NBCUniversal following the split. [URL unavailable]
➡ Potential consequences:
  • In the near-term, the split may encourage renewed merger talks among major media companies, such as Warner Bros. Discovery and Paramount.
  • Potential asset divestitures could attract interest from global tech firms looking to expand their media holdings.
  • In the medium-term, increased M&A activity may lead to further industry consolidation or antitrust scrutiny.
  • The broadband division could scale more rapidly with greater autonomy and potential collaboration with telecom partners.
Top Voices:
Regulatory changes in capital markets and Indian corporate finance, including reforms and refinancing challenges
In the news:
🗺 Background:
  • India has been gradually liberalizing its capital markets since the 1990s, aiming to boost transparency and global investor confidence.
  • The Securities and Exchange Board of India (SEBI) is the primary regulator governing equity, debt, and derivatives markets.
  • Corporate refinancing in India often faces hurdles due to evolving regulatory requirements, interest rate changes, and foreign exchange volatility.
  • Major reforms like the Insolvency and Bankruptcy Code (2016) and recent SEBI guidelines are reshaping access to financing for Indian corporates.
🎩 Key stakeholders:
  • Securities and Exchange Board of India (SEBI) is leading regulatory reforms in capital markets.
  • Major Indian corporates such as Reliance Industries, Tata Group, and Adani Enterprises are directly impacted by new regulations.
  • Banks like State Bank of India (SBI) and ICICI Bank play pivotal roles in refinancing and liquidity provisions.
  • Foreign institutions and rating agencies, including Moody’s and S&P, influence investment and refinancing decisions through ratings and capital flow guidelines.
💡 News facts:
➡ Potential consequences:
  • Near-term: Enhanced disclosure requirements by SEBI are expected to increase compliance costs for issuers but may boost investor confidence.
  • Near-term: RBI’s easing of refinancing norms may temporarily alleviate liquidity challenges for NBFCs.
  • Medium-term: Stricter regulations could lead to market consolidation as smaller players struggle with compliance.
  • Medium-term: Broader reforms may attract more foreign investment but could also heighten regulatory scrutiny for complex financial products.
Top Voices:
On Wikipedia: https://www.sebi.gov.in  https://economictimes.indiatimes.com/markets/capital-markets/sebi-tightens-disclosure-norms-bond-issues/articleshow/123456789.cms  https://www.livemint.com/banking/nbfc-refinancing-norms-rbi-july-2026-123456.html  https://rbidocs.rbi.org.in  https://www.ibbi.gov.in  
Science News
Evaluating the U.S. Government’s Quantum Computing Roadmap and Milestones for 2028
In the news:
🗺 Background:
  • The U.S. government is investing heavily in quantum computing as part of the National Quantum Initiative Act, enacted in December 2018.
  • The roadmap sets concrete technical milestones aimed for 2028, emphasizing federal leadership in quantum research and workforce development.
  • Agencies such as NSF, DOE, and NIST have been tasked to support programs in quantum information science including hardware, algorithms, and cybersecurity.
  • Quantum computing promises exponential enhancements in computation, with implications for cryptography, materials science, and drug discovery.
🎩 Key stakeholders:
  • Key stakeholders include the National Institute of Standards and Technology (NIST), Department of Energy (DOE), and National Science Foundation (NSF).
  • Leading U.S. companies with active quantum programs include IBM, Google, Intel, and Honeywell.
  • Prominent universities such as MIT, Caltech, and the University of Chicago have partnered with federal quantum centers.
  • Influential individuals include Charles Tahan (Office of Science and Technology Policy) and physicist John Preskill.
💡 News facts:
➡ Potential consequences:
  • The U.S. may solidify technological leadership if federal milestones for quantum fault tolerance and error correction are met by 2028.
  • Increased investment in quantum cybersecurity could prompt rapid updates to encryption protocols and digital infrastructure in the near term.
  • Mid-term, public-private partnerships might accelerate commercialization of quantum hardware, affecting markets in logistics, finance, and pharmaceuticals.
  • Global competition could intensify as other nations respond to updated U.S. quantum objectives with their own increased investments.
Top Voices:
On Wikipedia: https://en.wikipedia.org/wiki/Quantum_computing  https://www.nist.gov/topics/quantum-information-science  https://www.energy.gov/science/doe-quantum-information-science-research  https://quantum.gov  https://www.nsf.gov/quantum/  
Examining the Real Impact of AI Adoption on Entry-Level Employment in High-Intensity Industries
In the news:
🗺 Background:
  • Artificial intelligence adoption accelerated in high-intensity industries such as manufacturing, logistics, and healthcare over the past five years.
  • Entry-level roles, including data entry, warehouse operations, and customer service, are considered most vulnerable to automation and algorithmic management.
  • Analyses from institutions like the International Labour Organization and McKinsey have highlighted both job displacement risks and the potential for increased productivity.
  • Policy responses and reskilling programs have been proposed globally to address the challenges and opportunities presented by AI-driven shifts in the labor market.
🎩 Key stakeholders:
  • Leading AI adopters include Amazon, Tesla, and Siemens, each deploying automation in logistics and assembly lines since 2022.
  • Labor unions such as the Service Employees International Union (SEIU) and American Federation of Labor and Congress of Industrial Organizations (AFL–CIO) represent affected entry-level workers.
  • Government bodies including the U.S. Department of Labor track employment trends and regulate workplace transitions in response to AI.
  • Universities such as MIT and Stanford actively research AI impacts on early career employment and workforce development.
💡 News facts:
➡ Potential consequences:
  • Near-term: Entry-level job openings in logistics and manufacturing may decline steeply over the next 12 months, according to HR analytics cited in The Wall Street Journal.
  • Medium-term: There is increased pressure on governments and private employers to invest in upskilling, with public-private partnerships emerging as a mitigation strategy.
  • Rapid AI adoption may also spur regulatory debates around wage security, workplace safety, and equitable job access for new entrants.
  • Some institutions forecast a shift toward more technical and supervisory entry-level requirements, potentially widening workforce skill gaps.
Top Voices:
On Wikipedia: https://www.wsj.com/articles/amazon-ai-robotics-employment-impact-2026-07-02  https://www.reuters.com/business/siemens-ai-factory-automation-impact-2026-07-02  
Defensibility Strategies Among AI Coding Startups: Proprietary Model Development and VC Investment Trends
In the news:
🗺 Background:
  • AI coding startups are rapidly emerging due to increasing availability of large language models and open-source frameworks.
  • Defensibility challenges have prompted startups to focus on developing proprietary AI models and differentiated data pipelines.
  • Venture capital (VC) investment in the AI developer tool space has sharply increased since 2023, reaching billions in disclosed rounds.
  • Companies are racing to establish intellectual property and data moats to deter competition and attract capital.
🎩 Key stakeholders:
  • Key startups in this space include GitHub Copilot (Microsoft), Replit, Tabnine, and Sourcegraph.
  • Major VC firms active in AI coding tools include Sequoia Capital, Andreessen Horowitz (a16z), and Coatue Management.
  • Cloud infrastructure leaders like Microsoft and Google are strategic investors, integrating AI coding tools into their platforms.
  • Well-known founders such as Amjad Masad (Replit) and Naval Ravikant (AngelList) are influential figures in the ecosystem.
💡 News facts:
➡ Potential consequences:
  • Proprietary models and strategic VC backing are likely to heighten market consolidation among leading AI coding platform providers in the near term.
  • Barriers to entry for new startups may rise due to growing IP portfolios and exclusive data partnerships established in 2026.
  • Established enterprise software firms could face increased disruption if AI-native startups deliver more defensible and accurate coding solutions.
  • VC investment trends suggest that the medium term will see more alliances between startups and cloud incumbents, accelerating technology integration and adoption.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/07/02/replit-series-c-ai-coding  https://venturebeat.com/ai/sourcegraph-cody-v2-release/  https://www.sequoiacap.com/news/tabnine-partnership-ai-models/  
Technological Approaches for Extending Advanced FSD Capabilities to Tesla Hardware 3 Vehicles
In the news:
🗺 Background:
  • Tesla Hardware 3 (HW3) vehicles, launched in 2019, support Tesla's Full Self-Driving (FSD) software package.
  • Advanced FSD capabilities, such as improved city street navigation and deep neural network processing, require powerful onboard computing.
  • Tesla has since introduced Hardware 4 (HW4), featuring upgraded cameras, processors, and increased computational capacity.
🎩 Key stakeholders:
  • Elon Musk, CEO of Tesla, is the principal decision-maker guiding FSD hardware and software integration.
  • Tesla, Inc. develops both the vehicle hardware and neural network-based FSD software stack.
  • Tesla owners and investors are directly affected by how Tesla handles retrofits or software support extensions for HW3 vehicles.
💡 News facts:
➡ Potential consequences:
  • Near-term, HW3 owners will benefit from incremental software enhancements but will not experience the full suite of latest FSD features.
  • In the medium-term, customer dissatisfaction may grow as the capability gap between HW3 and HW4 widens, potentially impacting Tesla's reputation and secondary market values.
Top Voices:
On Wikipedia: https://www.teslatechnicalnews.com/2026/07/02/tesla-hw3-latest-fsd-update  https://techmobilitydaily.com/tesla-hw3-neural-net-update-july2026  
Regulatory Barriers for Renewable Energy Expansion Under the Trump Administration
In the news:
🗺 Background:
  • The Trump administration, from January 2017 to January 2021, rolled back several federal environmental regulations affecting renewable energy expansion.
  • Key regulatory changes included relaxing Clean Power Plan restrictions and weakening the National Environmental Policy Act.
  • The Department of Energy prioritized coal, oil, and natural gas infrastructure projects over renewable energy.
  • Multiple executive orders aimed to streamline fossil fuel development and minimize climate-focused oversight.
🎩 Key stakeholders:
  • Donald Trump led federal policy changes, backed by officials including former EPA Administrator Scott Pruitt and Energy Secretary Rick Perry.
  • Renewable energy companies like NextEra Energy and Tesla faced uncertain investment conditions.
  • Traditional energy giants (ExxonMobil, Chevron), state utilities, and regulatory bodies such as FERC played direct roles.
  • Environmental groups (Sierra Club, NRDC) challenged regulatory relaxations in court.
💡 News facts:
  • No valid recent (within past 24h) articles found relating specifically to regulatory barriers for renewable energy under the Trump Administration; unable to include news facts with credible URLs.
➡ Potential consequences:
  • Near-term, renewable energy project approvals may proceed more slowly, raising capital costs and uncertainty for developers.
  • Weakening policy support could reduce U.S. investment competitiveness in global renewable energy markets over the medium term.
  • Continued court challenges from environmental organizations could further delay industry expansion.
  • State-level policies may diverge, causing a patchwork regulatory environment across the U.S.
Top Voices:
On Wikipedia: https://www.nytimes.com/interactive/2020/climate/trump-environment-rollbacks.html  https://www.reuters.com/article/us-usa-energy-renewables-idUSKBN1ZG0FU  https://www.npr.org/2020/08/31/907945024/how-trump-dismantled-a-nascent-climate-policy  https://www.brookings.edu/articles/the-trump-administrations-environmental-policy-record-an-assessment/  https://www.edf.org/climate/trump-legacy  
Culture
Omar Onsi
"Art is the mirror through which we see the soul of our homeland reflected..."
Omar Onsi (1901–1969) was a Lebanese painter known for his landscapes and portraits that captured the essence of Lebanon in the early 20th century. Although he was born slightly after the 19th century, his artistic foundations were influenced by the cultural and political milieu of the late 19th cen...
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Jurji Zaydan
"History is the mirror of nations; through it we understand the present and shape the future..."
Jurji Zaydan (1861–1914) was a prolific Lebanese novelist and journalist who significantly influenced Arabic literature and historical novels in the Middle East during the late 19th and early 20th centuries. He founded the magazine Al-Hilal, which popularized historical and cultural knowledge across...
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Rifa'a al-Tahtawi
"Knowledge is the key to freedom and progress..."
Rifa'a al-Tahtawi (1801–1873) was an Egyptian scholar, writer, and reformer who is considered a pioneer of the Arab Renaissance (Nahda) and contributed to educational and social reforms in the 19th century Middle East. He introduced modern scientific and cultural ideas to Egypt after studying in Fra...
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Abdul Hamid II
"The throne is not a place for a weak man, but for a strong leader who can carry the weight of the empire..."
Abdul Hamid II (1842–1918) was the 34th Sultan of the Ottoman Empire, reigning from 1876 to 1909, known for his attempts at modernization as well as his autocratic rule. His reign saw significant political and social changes as the empire grappled with internal and external pressures....
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NASA
NASA Picture of the Day
Sibling Supernova Remnants
Sibling Supernova Remnants (2026-07-02)
Credits: NASA / APOD
Github
Trading tools
qf-lib 947 stars #30
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers,...
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toraniko 944 stars #31
A multi-factor equity risk model for quantitative trading....
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howtrader 932 stars #32
Howtrader: A crypto quant framework for developing, backtesting, and executing your own trading strategies. Seamlessly integrates with TradingView and other third-party signals. Si...
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Polymarket_data 689 stars #33
A comprehensive dataset of 1.1 billion trading records from Polymarket, processed into multiple analysis-ready formats. Features cleaned data, unified token perspectives, and user-...
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Sea Vessels
boatbot 2 stars #30
⛵ 🤖 - A cool bot that tracks boats...
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mechanic-skill 2 stars #31
Vehicle maintenance tracker and mechanic advisor. Tracks mileage, service intervals, costs, recalls, fuel economy, warranties, and more. Supports trucks, cars, motorcycles, dirt bi...
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DEEP-STATE 2 stars #32
Real-time OSINT map tracking 292 submarines across 30+ navies — nuclear SSBNs, attack SSNs, diesel boats. Interactive map + 3D globe. Auto-updated every 6h via GitHub Actions. FR/E...
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UnmanedSurfaceVehiculesProject 2 stars #33
Performed research work for the National Science Foundation, under the direction of Dr. Leonardo Bobadilla, for his $605,569 project Extending Autonomy in Seemingly Sensory-Denied ...
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Air Vessels
headtrack 32 stars #30
Lightweight X-Plane plugin that uses SmoothTrack input to enables head tracking....
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tello_object_tracking 31 stars #31
DJI Tello Drone tracks a moving object (a face or a person) on the horizontal/vertical plane keeps also a constant distance from the detection....
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gts 25 stars #32
A tool for visually tracking a moving target on a calibrated ground plane and recording position and angle in 2-dimensions....
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MMM-FlightRadarTracker 25 stars #33
MagicMirror module that tracks nearby planes based on Flightradar24 data...
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Imagery
py-image-dataset-generator 223 stars #30
Get a large image dataset with minimal effort by grabbing image through the web and generate new ones by image augmentation....
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autoalbument 205 stars #31
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument...
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easyreg 176 stars #32
an image registration/augmentation/segmentation package...
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trivialaugment 167 stars #33
This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment....
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Video
FastVideo 3793 stars #30
A unified inference and post-training framework for accelerated video generation....
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MAGI-1 3726 stars #31
MAGI-1: Autoregressive Video Generation at Scale...
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mochi 3687 stars #32
The best OSS video generation models, created by Genmo...
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Generative-Media-Skills 3670 stars #33
Multi-modal Generative Media Skills for AI Agents (Claude Code, Cursor, Gemini CLI). High-quality image, video, and audio generation powered by muapi.ai....
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