machine-learning

Trax — Deep Learning with Clear Code and Speed

BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Uniform Manifold Approximation and Projection

BertViz: Visualize Attention in Transformer Models

告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com

A self-hosted open source photo management service.

Production infrastructure for machine learning at scale

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

⚡ TabPFN: Foundation Model for Tabular Data ⚡

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现