Stars
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Official inference repo for FLUX.1 models
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Hydra is a framework for elegantly configuring complex applications
Google Drive Public File Downloader when Curl/Wget Fails
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Gin provides a lightweight configuration framework for Python
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
Python 3.8+ toolbox for submitting jobs to Slurm
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
MetaDrive: Open-source driving simulator
Structural implementation of RL key algorithms
PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Create powerful Hydra applications without the yaml files and boilerplate code.
Reinforcement Learning with Model Predictive Control
Pyrallis is a framework for structured configuration parsing from both cmd and files. Simply define your desired configuration structure as a dataclass and let pyrallis do the rest!
[CVPR'23] A Simple Framework for Text-Supervised Semantic Segmentation
Python-CasADi-based package containing several algorithms for solving mixed-integer nonlinear programs (MINLPs)
A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints
EPFL Verifier for Approximate Neural Networks and QPs
Modular Deep Reinforcement Learning libary based on PyTorch
make image files for the NYU Depth Dataset V2