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ML-For-Beginners 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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

Visualizer for neural network, deep learning and machine learning models

homemade-machine-learning 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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

machine learning and deep learning tutorials, articles and other resources

深度学习入门教程, 优秀文章, Deep Learning Tutorial

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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

NSFW detection on the client-side via TensorFlow.js

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

My blogs and code for machine learning. http://cnblogs.com/pinard

vaex 是用 Python 编写的学习资料，用于系统学习与查阅。

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

clearml 是用 Python 编写的学习资料，用于系统学习与查阅。

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving i…

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network 是一个学习资料，用于系统学习与查阅。

Tools to Design or Visualize Architecture of Neural Network

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

Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM

pollinations 是用 TypeScript 编写的学习资料，用于系统学习与查阅，主打开源免费。

Your Friendly Open-Source Gen-AI Platform

MachineLearning 是一个学习资料，用于系统学习与查阅。

Machine learning resources

tslearn 是用 Python 编写的学习资料，用于系统学习与查阅。

The machine learning toolkit for time series analysis in Python

best_AI_papers_2022 是一个 AI 工具，用于人工智能方向的建模与推理。

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

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

Sparsity-aware deep learning inference runtime for CPUs

igel 是用 Python 编写的学习资料，用于系统学习与查阅，主打界面美观。

a delightful machine learning tool that allows you to train, test, and use models without writing code

awesome-anomaly-detection 是一个资源清单，按主题汇总同类优质资源。

A curated list of awesome anomaly detection resources

best_AI_papers_2021 是一个 AI 工具，用于人工智能方向的建模与推理。

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

NudeNet 是用 Python 编写的学习资料，用于系统学习与查阅，主打轻量。

Lightweight nudity detection

nano-neuron 是用 JavaScript 编写的学习资料，用于系统学习与查阅，主打易用。

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

Best_AI_paper_2020 是一个 AI 工具，用于人工智能方向的建模与推理。

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code