从 65,739 个高星开源项目里，
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edward 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

image-super-resolution 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

DeepLearningProject 是用 HTML 编写的学习资料，用于系统学习与查阅。

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

EconML 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence co…

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

ignite 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

seldon-core 是用 Go 编写的学习资料，用于系统学习与查阅。

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

cracking-the-data-science-interview 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

linfa 是用 Rust 编写的学习资料，用于系统学习与查阅。

A Rust machine learning framework.

trlx 是用 Python 编写的学习资料，用于系统学习与查阅，主打可伸缩。

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Flux.jl 是用 Julia 编写的 AI 工具，用于人工智能方向的建模与推理。

Relax! Flux is the ML library that doesn't make you tensor

Reinforcement-Learning 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

pigo 是用 Go 编写的 AI 工具，用于人工智能方向的建模与推理，主打速度快。

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

Learn_Prompting 是用 MDX 编写的 AI 工具，用于人工智能方向的建模与推理。

Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community

stable-diffusion-videos 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打适合生产环境。

Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts

dm_control 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

lucid 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

A collection of infrastructure and tools for research in neural network interpretability.

machinelearning-samples 是用 PowerShell 编写的学习资料，用于系统学习与查阅，主打跨平台、开源免费。

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

datascience 是一个学习资料，用于系统学习与查阅。

Curated list of Python resources for data science.

nlpaug 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

Data augmentation for NLP

Production-Level-Deep-Learning 是一个 AI 工具，用于人工智能方向的建模与推理。

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

awesome-ai-ml-resources 是一个学习资料，用于系统学习与查阅，主打开源免费。

Learn AI/ML for beginners with a roadmap and free resources.

SwarmUI 是用 C# 编写的 AI 工具，用于人工智能方向的建模与推理，主打高性能、适合生产环境。

SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high perfo…

Promptify 是用 Python 编写的 AI 工具，用于大模型与智能体应用开发。

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLM…