The Open Software & Tools Directory

A list of all named GANs!

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

Learn ML engineering for free in 4 months! Register here 👇🏼

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

A toolkit for making real world machine learning and data analysis applications in C++

A very simple framework for state-of-the-art Natural Language Processing (NLP)

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

A curated list of references for MLOps

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

Open3D: A Modern Library for 3D Data Processing

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Open Machine Learning Compiler Framework

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Nmap - the Network Mapper. Github mirror of official SVN repository.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in

Build voice agents with open-source models

✍🏻 Source Code Deep Dives, System Design & Engineering Blogs | Halfrost-Field 冰霜之地：源码解析、系统设计与工程实践笔记

🔥Highlighting the top ML papers every week.

机器学习相关教程

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

A MNIST-like fashion product database. Benchmark :point_down: