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机器学习 · GitHub

发现模型训练、评估与推理框架,比较深度学习和机器学习项目的社区关注度。

实用 GitHub 项目

4,743 个项目

evox

EMI-Group

2,694星标+524小时
evox preview

分布式 GPU 加速进化计算框架。全面的进化算法与基准测试问题库。

机器学习PythonGPL-3.0GitHub

spaCy

explosion

34,047星标+524小时
spaCy preview

💫 基于 Python 的工业级自然语言处理(NLP)

  • Support for 70+ languages
  • Trained pipelines for different languages and tasks

dinov2

facebookresearch

13,532星标+524小时

PyTorch code and models for the DINOv2 self-supervised learning method.

机器学习Jupyter NotebookApache-2.0GitHub

diffusers

huggingface

34,915星标+524小时
diffusers preview

🤗 Diffusers:用于图像、视频和音频生成的先进扩散模型,基于 PyTorch。

机器学习PythonApache-2.0GitHub

audio-studio-mcp

kanaworksai-hue

657星标+524小时
audio-studio-mcp preview

Local AI BGM and sound effects for Claude Code and any MCP client. Stable Audio 3 on Apple Silicon (MLX) and Windows NVIDIA GPUs (PyTorch). No cloud, no API key.

  • GenerateBGM, instrument loops and sound effects from one sentence, 1–4 candidates per call - EditRe-style a whole clip, regenerate a time range, or extend a track - FinishSeamless loops, fades, loudness (LUFS), 48 kHz WAV / OGG / FLAC - LocalRuns on Apple Silicon (MLX) or an NVIDIA GPU (PyTorch). Nothing is uploaded
  • Reproducible: every file gets a .json sidecar with its prompt, seed and settings.

minGPT

karpathy

25,022星标+524小时
minGPT preview

OpenAI GPT(生成式预训练变换器)训练的最小 PyTorch 重实现

lance

lance-format

7,285星标+524小时
lance preview

面向多模态 AI 的开放 Lakehouse 格式。只需 2 行代码即可从 Parquet 转换,随机访问快 100 倍,并支持向量索引与数据版本管理。兼容 Pandas、DuckDB、Polars、Pyarrow 和 PyTorch,更多集成即将推出。

机器学习RustApache-2.0GitHub
375星标+524小时

四十五门真实网课的模块合辑全书 + 思维导图复习笔记 + 逐字稿,全部由 Video2Book 从课程音频重构:518 册教材、603 篇笔记、2,286 份逐字稿,从逐讲精读到考前速查,笔记支持 Markmap / XMind 脑图导入。

2,264星标+524小时
MATLAB-Simulink-Challenge-Project-Hub preview

This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.

LoRA

microsoft

13,919星标+524小时

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

nmap

nmap

13,977星标+524小时

Nmap——网络映射器。官方 SVN 仓库的 GitHub 镜像。

DLSS

NVIDIA

1,664星标+524小时

NVIDIA DLSS 是一种全新且经过改进的深度学习神经网络,可提升游戏帧率,并生成精美、清晰的图像。

AuK

Tencent-Hunyuan

1,598星标+524小时
AuK preview

AuK: An Open-Source Foundational Model for Speech Generation and Editing

C-Plus-Plus

TheAlgorithms

34,879星标+524小时
C-Plus-Plus preview

以 C++ 实现的数学、机器学习、计算机科学和物理学领域的各类算法集合,旨在用于教育。

  • The repository provides implementations of various algorithms in one of the most fundamental general purpose languages - C++.
  • Well documented source code with detailed explanations provide a valuable resource for educators and students alike.
11,009星标+424小时
amazon-sagemaker-examples preview

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

机器学习Jupyter NotebookApache-2.0GitHub

cube-studio

data-infra

2,609星标+424小时
cube-studio preview

cubestudio开源云原生一站式机器学习/深度学习/大模型AI平台/MaaS/mlops/人工智能平台/训推平台,算法全链路流程,多租户,算力租赁平台,token中转,拖拉拽任务流pipeline编排,多机多卡分布式训练,超参搜索,推理服务,VGPU虚拟化,云边端协同,边缘计算,自动化标注平台,deepseek等大模型sft微调/奖励模型/强化学习训练,vllm/ollama/mindie大模型多机推理,私有知识库llmops智能体,AI模型市场,支持国产异构算力调度,昇腾/寒武纪/海光/摩尔/沐曦等,支持ib/roce/RDMA,信创支持

mlops-zoomcamp

DataTalksClub

15,551星标+424小时
mlops-zoomcamp preview

Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort

机器学习Jupyter NotebookGitHub
28,968星标+424小时
xgboost preview

可扩展、可移植的分布式梯度提升(GBDT、GBRT 或 GBM)库,支持 Python、R、Java、Scala、C 等语言。可运行于单机以及 Hadoop、Spark、Dask、Flink 和 DataFlow。

机器学习C++Apache-2.0GitHub

openarm

enactic

3,694星标+424小时
openarm preview

A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.

机器学习MDXApache-2.0GitHub
11,136星标+424小时

This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.

  • 🟢 Context-Aware Literature EngineSpeed up your literature review with AI that understands your research context.
  • 🤖 AI-Powered Brainstorming EngineCollaborate with your intelligent assistant to spark, shape, and elevate breakthrough ideas.