machine-learning

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

Minimal and Clean Reinforcement Learning Examples

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

WebApps in pure Python. No JavaScript, HTML and CSS needed

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Probably the best curated list of data science software in Python.

Classic papers and resources on recommendation

快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

Synthetic data generation for tabular data

Open Machine Learning course

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Hummingbird compiles trained ML models into tensor computation for faster inference.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Fast, flexible and easy to use probabilistic modelling in Python.

Evaluation and Tracking for LLM Experiments and AI Agents

Seamlessly integrate LLMs into scikit-learn.

A library for transfer learning by reusing parts of TensorFlow models.

Algorithmic Trading in Python with Machine Learning

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

Visual tracking library based on PyTorch.

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

:earth_americas: machine learning tutorials (mainly in Python3)

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

All notes and materials for the CS229: Machine Learning course by Stanford University

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Debugging, monitoring and visualization for Python Machine Learning and Data Science