Popular GitHub Repositories for Gradient Visualization

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

A game theoretic approach to explain the output of any machine learning model.

? A ranked list of awesome machine learning Python libraries. Updated weekly.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

? Chat with your SQL database ?. Accurate Text-to-SQL Generation via LLMs using RAG ?.

Turns Data and AI algorithms into production-ready web applications in no time.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Machine learning, in numpy

Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.

强化学习中文教程（蘑菇书?），在线阅读地址：https://datawhalechina.github.io/easy-rl/

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Refine high-quality datasets and visual AI models

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

An elegant PyTorch deep reinforcement learning library.

Learning Convolutional Neural Networks with Interactive Visualization.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Pytorch implementation of convolutional neural network visualization techniques

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

Uniform Manifold Approximation and Projection