本列表聚焦于人工智能与机器学习领域，收录了经典机器学习算法、深度学习神经网络框架、大语言模型推理引擎以及主流 AI 托管服务开发平台。
- 🤖 传统机器学习算法与资源 (Machine Learning)
- 🧠 深度学习与神经网络架构 (Deep Learning)
- 🌐 常用 AI 开发与托管平台 (AI Platforms)
- 🤖 大语言模型与本地推理引擎 (LLMs & Inference)
- 🎨 AI 搜索、文生图与大模型导航 (AI Tools & Navigation)
- A Guide to Machine Learning in R for Beginners: Logistic Regression
- alteryx/featuretools: An open source python library for automated feature engineering
- arorarshi/survClust: An outcome weighted supervised clustering algorithm, designed to classify patients according to their molecular as well as time-event or end point of interest data.
- Articles • mlr
- Bayesian Applied Regression Modeling via Stan • rstanarm
- comeetie/greed: GREED: R package for Bayesian greedy clustering with several discrete latent variable models #sbm, #dcsbm, #dclbm #mm, #gmm
- CRAN - Package bnlearn
- CRAN - Package Boruta
- CRAN - Package MCL
- elbamos/largeVis: An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R
- eriklindernoren/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
- GenePattern - SubMap
- Hyperparameter optimization - Wikipedia
- imbs-hl/ranger: A Fast Implementation of Random Forests
- jepusto/clubSandwich: Cluster-robust (sandwich) variance estimators with small-sample corrections
- koalaverse/vip: Variable Importance Plots (VIPs)
- likelet/LassoBag: working on
- linxihui/lazyML: LazyML or AutoML, an R package aims to automatically select models and tune parameters simultaneously.
- linxihui/NNLM: Nonnegative Linear Models (NNLM) and Nonnegative Matrix Factorization (NMF or NNMF).
- linxihui/sml: Machine learning algorithms (e.g., ELM, Gaussian Process, Boosting) for time-to-event/survival outcome
- Machine Learning in R • mlr
- Machine Learning in R • mlr
- MCL - a cluster algorithm for graphs
- mlr-org/mlr3: mlr3: Machine Learning in R - next generation
- mlr-org/mlr3pipelines: Dataflow Programming for Machine Learning in R
- mlr3verse learners • mlr3extralearners
- mlrMBO
- nicolaroberts/hdp: R pkg for Hierarchical Dirichlet Process
- nliulab/AutoScore: AutoScore: An Interpretable Machine Learning-Based Automatic Clinical Score Generator
- OpenML Home
- pandas: powerful Python data analysis toolkit — pandas 0.23.4
- reiinakano/scikit-plot: An intuitive library to add plotting functionality to scikit-learn objects.
- SchlossLab/mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines
- scikit-learn-contrib/boruta_py: Python implementations of the Boruta all-relevant feature selection method.
- scikit-learn: machine learning in Python — scikit-learn 0.20.0
- thenmf/bignmf: A python package for performing single NMF and joint NMF algorithms
- Welcome to Nimfa — Nimfa 1.3.1
- xlucpu/MOVICS: Multi-Omics integration and VIsualization in Cancer Subtyping
- zachmayer/caretEnsemble: caret models all the way down
- zdebruine/RcppML: Rcpp Machine Learning: Fast robust NMF, divisive clustering, and more
- 从零开始使用TensorFlow建立简单的逻辑回归模型 - dyzdyz010
- 优化|Single and Multi-Objective Optimization Test Functions • smoof
- 数据竞赛-SofaSofa
- 0xPlaygrounds/rig: ⚙️🦀 Build modular and scalable LLM Applications in Rust
- adamian98/pulse: PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
- astooke/rlpyt: Reinforcement Learning in PyTorch
- AutoKeras
- awslabs/autogluon: AutoGluon: AutoML for Text, Image, and Tabular Data
- CRAN - Package rTorch
- f0nzie/rTorch
- Hannibal046/Awesome-LLM: Awesome-LLM: a curated list of Large Language Model
- Home - Keras
- Large Language Models in Molecular Biology | by Serafim Batzoglou | Towards Data Science
- lutzroeder/netron: Visualizer for neural network, deep learning and machine learning models
- microsoft/generative-ai-for-beginners: 12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
- microsoft/Graphormer: Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.
- mlverse/luz: Higher Level API for torch
- mlverse/torch: R Interface to Torch
- OpenAI
- openai/gpt-2: Code for the paper "Language Models are Unsupervised Multitask Learners"
- Paddle: PaddlePaddle (PArallel Distributed Deep LEarning 并行分布式深度学习)是百度研发的深度学习平台，具有易用，高效，灵活和可伸缩等特点，为百度内部多项产品提供深度学习算法支持
- PyG Documentation — pytorch_geometric 2.0.5
- PyTorch
- PyTorchLightning/pytorch-lightning: The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
- R Interface to 'Keras' • keras
- R Interface to AutoKeras • autokeras
- r-tensorflow/autokeras: Package: R Interface to AutoKeras
- RaphaelS1/survivalmodels: Implementations of survival models in R
- ray-project/ray: An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
- schulter/EMOGI: An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
- TensorFlow
- TensorFlow for R
- tensorflow/models: Models and examples built with TensorFlow
- zj-zhang/AMBER: Automated Modelling for Biological Evidence-based Research
- 飞桨PaddlePaddle-源于产业实践的开源深度学习平台
- biolab/orange3: 🍊 Orange: Interactive data analysis
- interpretml/interpret: Fit interpretable models. Explain blackbox machine learning.
- mlflow/mlflow: Open source platform for the machine learning lifecycle
- agentscope-ai/CoPaw: Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
- AI Models Marketplace – Image, Video & Chat AI | Genbo AI
- Cherry Studio 官方网站 - 全能的 AI 助手
- Cherryin
- Claude Code中文教程 - AI编程助手完整使用指南 | 从入门到精通 | Claude Code 中文教程网
- ClawBio/ClawBio: 🦖 ClawBio — The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Built on OpenClaw.
- Coze: Next-Gen AI App Developing Platform
- DeerAPI
- Google Antigravity Pricing
- higress-group/hiclaw: Open-source Agent Teams system with IM-based multi-Agent collaboration and human-in-the-loop oversight.
- IdeaFromAI-Plus - Dify
- ima.copilot-腾讯AI工作台
- InsightPaper-Chat
- InsightPaper会员高阶工具使用指南
- LMArena
- Manus: 一出手，就拿手
- MCP HOME
- MemTensor/MemOS: AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.
- MiniMax
- multica-ai/multica: The open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills.
- Nano Banana - AI Image Editor | Edit Photos with Text
- Nano Banana Pro Prompts - 高品質 AI 提示詞與圖像生成 - YouMind
- Nano Banana Pro 提示词宝库 | 高质量 AI 绘画提示词
- notdog1998/yourself-skill: 与其蒸馏别人，不如蒸馏自己。欢迎加入数字永生！Inspired by colleague-skill（同事skill）。
- obra/superpowers: An agentic skills framework & software development methodology that works.
- OfoxAI - GPT/Claude/Gemini 100+大模型 一个API搞定 | OfoxAI
- OpenClaw 支持的 AI 模型 - Claude、GPT-4、Ollama 等 | OpenClaw 指南
- prompts.chat
- punkpeye/awesome-mcp-servers: A collection of MCP servers.
- tidyverse/ellmer: Call LLM APIs from R
- ToolUniverse - 600+ Scientific Tools to Democratize AI scientists
- VibeVibe
- Xiaomi MiMo 开放平台
- ZHO-ZHO-ZHO/ZHO-nano-banana-Creation: 我的 nano-banana 创意玩法大合集！ 持续更新中！
- Zread
- 共绩算力 | 弹性算力服务平台，释放每一滴算力的无限潜能
- 在云端秒级部署OpenClaw全能助手
- 扣子空间，你的 AI 办公助手
- 腾讯云大模型API
- 🍌Nano Banana - nanobanana, gpt4o, chatgpt 提示词案例库