Apprentissage automatique · GitHub

Official PyTorch implementation for "Large Language Diffusion Models"

AI实战-practicalAI 中文版

Feuille de route de la science des données de A à Z

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

An arbitrary face-swapping framework on images and videos with one single trained model!

NMA Computational Neuroscience course

Liste sélectionnée d’idées de projets en apprentissage automatique, traitement automatique du langage naturel, vision par ordinateur et systèmes de recommandation

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Lightning fast C++/CUDA neural network framework

Official repository of the xLSTM.

🌊 Online machine learning in Python

• Linear models, with a wide array of optimizers
• Decision trees and random forests

A collection of pre-trained, state-of-the-art models in the ONNX format

OpenMMLab Model Deployment Framework

• 0.x.y - - - <=1.x.y - <=2.x.y - 0.x.y
• 1.x.y - 0.x.y - 2.x.y - 3.x.y - 1.x.y

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