sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.
GitHub repository with 829 stars and 240 forks.
Language: Python
Topics: bayesian-inference, likelihood-free-inference, machine-learning, parameter-estimation, pytorch, simulation-based-inference
Trending score 0.55, freshness score 1.00, stars gained +1, forks gained +0.
2026-06-15: 829 stars and 240 forks.
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.
GitHub repository with 829 stars and 240 forks.
Trending score: 0.55; stars gained: +1; forks gained: +0.
Language: Python
Topics: bayesian-inference, likelihood-free-inference, machine-learning, parameter-estimation, pytorch, simulation-based-inference
Bayesian memory that learns from feedback for LLM agents
GitHub repository with 5 stars and 1 forks.
Trending score: 0.10; stars gained: +0; forks gained: +0.
Language: Python
Topics: agent-memory, ai-agents, bayesian, claude-code, llm, mcp
PyAutoFit: Classy Probabilistic Programming
GitHub repository with 64 stars and 12 forks.
Trending score: 0.06; stars gained: +0; forks gained: +0.
Language: Python
Topics: probabilistic-programming, statistics, bayesian-inference, bayesian-methods, model, astronomy
PyHGF: A neural network library for predictive coding
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Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: active-inference, bayesian-filter, bayesian-inference, belief-propagation, computational-psychiatry, graph-neural-networks
Clinical Problem Solving skill for Claude Code — multi-persona Bayesian diagnostic rounds modeled after NEJM CPC format
GitHub repository with 17 stars and 3 forks.
Trending score: 0.00; stars gained: +0; forks gained: +0.
Language: Python
Topics: bayesian-inference, claude-code, clinical-reasoning, differential-diagnosis, evidence-based-medicine, likelihood-ratio
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.
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Language: Python
Topics: ai, automation, chatgpt, moviepy, python, shortvideo
Self-hosted AI workspace.
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Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.
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Language: Python
Learn it. Build it. Ship it for others.
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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.
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Language: Python
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Native Rust runtime for adversarial extension workloads with deterministic replay, cryptographic decision receipts, and fleet-scale containment.
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Trending score: 0.69; stars gained: +1; forks gained: +0.
Language: Rust
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sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.
GitHub repository with 829 stars and 240 forks.
Trending score: 0.55; stars gained: +1; forks gained: +0.
Language: Python
Topics: bayesian-inference, likelihood-free-inference, machine-learning, parameter-estimation, pytorch, simulation-based-inference
RStan, the R interface to Stan
GitHub repository with 1,079 stars and 268 forks.
Trending score: 0.54; stars gained: +1; forks gained: +1.
Language: R
Topics: stan, mcmc, bayesian-inference, bayesian-data-analysis, bayesian-statistics, r
Bayesian memory that learns from feedback for LLM agents
GitHub repository with 5 stars and 1 forks.
Trending score: 0.10; stars gained: +0; forks gained: +0.
Language: Python
Topics: agent-memory, ai-agents, bayesian, claude-code, llm, mcp
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
GitHub repository with 125 stars and 27 forks.
Trending score: 0.09; stars gained: +0; forks gained: +0.
Language: Julia
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PyAutoFit: Classy Probabilistic Programming
GitHub repository with 64 stars and 12 forks.
Trending score: 0.06; stars gained: +0; forks gained: +0.
Language: Python
Topics: probabilistic-programming, statistics, bayesian-inference, bayesian-methods, model, astronomy