CBAM: Convolutional Block Attention Module for CIFAR10 on ResNet backbone with Pytorch

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Pytorch implementation of Augmented Neural ODEs 🌻

Beautifully designed components that you can copy and paste into your apps. Accessible. Customizable. Open Source.

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

Official inference repo for FLUX.1 models

Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.

🤖 Train a self-driving car in GTA V 🚗

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

PyTorch Implementation of SqueezeDet: Real-Time Object Detection for Autonomous Driving

A PyTorch Implementation of Single Shot MultiBox Detector

Attentive Co-Evolving Neural Ordinary Differential Equations

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation

Video classification using convGRU

Repository for my master thesis at EPFL: "Neural controlled differential equations for crop classification"

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting

A simple bot that uses selenium to farm Microsoft Rewards written in Python

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

Code Repository for Liquid Time-Constant Networks (LTCs)

A unified framework for machine learning with time series

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

OSX (macOS) inside a Docker container.

Network support for the Lua language

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.