A tiny, fully-reproducible JEPA world model that learns the physics of a bouncing DVD logo in representation space, dreams its future, and detects anomalies. Trains on a CPU in ~10s. Interactive browser demo.
GitHub repository with 15 stars and 3 forks.
Language: Python
Topics: anomaly-detection, deep-learning, i-jepa, interactive-demo, jepa, machine-learning, pytorch, representation-learning, reproducible-research, self-supervised-learning
Trending score 0.60, freshness score 0.78, stars gained +2, forks gained +2.
2026-06-15: 15 stars and 3 forks.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
GitHub repository with 5,838 stars and 941 forks.
Trending score: 1.24; stars gained: +2; forks gained: +0.
Language: Python
Topics: anomaly-localization, anomaly-segmentation, anomaly-detection, unsupervised-learning, neural-network-compression, openvino
Geometric Traversability using Self-Supervised with Anomaly Classification @ ICRA'26
GitHub repository with 36 stars and 0 forks.
Trending score: 0.82; stars gained: +4; forks gained: +0.
Language: Python
Topics: anomaly-detection, self-supervised-learning, traversability
Local-first log analysis with PII redaction, threat detection, anomaly detection and LLM insights — CLI, web dashboard and REST API
GitHub repository with 11 stars and 0 forks.
Trending score: 0.63; stars gained: +1; forks gained: +0.
Language: Python
Topics: anomaly-detection, cli, devops, fastapi, llm, log-analysis
A tiny, fully-reproducible JEPA world model that learns the physics of a bouncing DVD logo in representation space, dreams its future, and detects anomalies. Trains on a CPU in ~10s. Interactive browser demo.
GitHub repository with 15 stars and 3 forks.
Trending score: 0.60; stars gained: +2; forks gained: +2.
Language: Python
Topics: anomaly-detection, deep-learning, i-jepa, interactive-demo, jepa, machine-learning
Calibrated simulation and detectors for MES-embedded carbon-intensity monitoring of energy anomalies in machining-style processes. Characterizes the adaptive-baseline inertia blind spot and proposes an event-anchored + residual-CUSUM detector that closes it. Reproducible: code, raw sweep data, and figure scripts.
GitHub repository with 13 stars and 0 forks.
Trending score: 0.41; stars gained: +1; forks gained: +0.
Language: Python
Topics: anomaly-detection, carbon-intensity, change-detection, cnc, cusum, energy-monitoring
Hyperdimensional computing with statistical guarantees: calibrated probabilities, conformal prediction sets, anomaly detection with a guaranteed false-positive rate
GitHub repository with 16 stars and 2 forks.
Trending score: 0.39; stars gained: +0; forks gained: +0.
Language: Python
Topics: bayesian-machine-learning, conformal-prediction, hyperdimensional-computing, jax, machine-learning, uncertainty-quantification
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
GitHub repository with 88,031 stars and 12,625 forks.
Trending score: 6.02; stars gained: +1,097; forks gained: +218.
Language: Python
Topics: ai, automation, chatgpt, moviepy, python, shortvideo
Self-hosted AI workspace.
GitHub repository with 71,467 stars and 9,114 forks.
Trending score: 5.98; stars gained: +834; forks gained: +140.
Language: Python
The agent that grows with you
GitHub repository with 194,134 stars and 33,994 forks.
Trending score: 5.92; stars gained: +753; forks gained: +209.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.
GitHub repository with 5,962 stars and 441 forks.
Trending score: 5.61; stars gained: +874; forks gained: +76.
Language: Python
Learn it. Build it. Ship it for others.
GitHub repository with 32,676 stars and 5,366 forks.
Trending score: 5.59; stars gained: +762; forks gained: +135.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
Generate draw.io diagrams from natural language — 6 presets, vision self-check + up to 5-round refinement, codebase-to-diagram, 10,000+ official shapes & 321 AI/LLM brand logos. Exports PNG/SVG/PDF/JPG.
GitHub repository with 3,445 stars and 240 forks.
Trending score: 5.51; stars gained: +1,369; forks gained: +113.
Language: Python
Topics: agent-skill, agent-skills, architecture-diagram, claude-code, claude-code-skill, claude-skills
An Awesome List of the latest time series papers and code from top AI venues.
GitHub repository with 1,027 stars and 53 forks.
Trending score: 1.68; stars gained: +4; forks gained: +0.
Topics: anomaly-detection, time-series, time-series-forecasting, causal-discovery, time-series-analysis, early-detection
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
GitHub repository with 5,838 stars and 941 forks.
Trending score: 1.24; stars gained: +2; forks gained: +0.
Language: Python
Topics: anomaly-localization, anomaly-segmentation, anomaly-detection, unsupervised-learning, neural-network-compression, openvino
AI-powered retail intelligence platform that converts CCTV footage into footfall analytics, heatmaps, queue intelligence, conversion funnels, anomaly detection, and sales insights using YOLOv8, ByteTrack, FastAPI, and Docker.
GitHub repository with 15 stars and 0 forks.
Trending score: 0.95; stars gained: +2; forks gained: +0.
Language: HTML
Topics: anomaly-detection, business-intelligence, bytetrack, computer-vision, dashboard, docker
Geometric Traversability using Self-Supervised with Anomaly Classification @ ICRA'26
GitHub repository with 36 stars and 0 forks.
Trending score: 0.82; stars gained: +4; forks gained: +0.
Language: Python
Topics: anomaly-detection, self-supervised-learning, traversability
Local-first log analysis with PII redaction, threat detection, anomaly detection and LLM insights — CLI, web dashboard and REST API
GitHub repository with 11 stars and 0 forks.
Trending score: 0.63; stars gained: +1; forks gained: +0.
Language: Python
Topics: anomaly-detection, cli, devops, fastapi, llm, log-analysis
A tiny, fully-reproducible JEPA world model that learns the physics of a bouncing DVD logo in representation space, dreams its future, and detects anomalies. Trains on a CPU in ~10s. Interactive browser demo.
GitHub repository with 15 stars and 3 forks.
Trending score: 0.60; stars gained: +2; forks gained: +2.
Language: Python
Topics: anomaly-detection, deep-learning, i-jepa, interactive-demo, jepa, machine-learning