Stars
An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL
A collection of reference environments for offline reinforcement learning
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Official implementation of Diffusion Policy Policy Optimization, arxiv 2024
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
The Pytorch Tutorial of Score-based and Diffusion Model
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"
TorchCFM: a Conditional Flow Matching library
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
HaoningJiang-space / pytorch-tutorials-examples-and-books
Forked from bat67/pytorch-tutorials-examples-and-booksPyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
moojink / openvla-oft
Forked from openvla/openvlaFine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
Official code repository of "CARP: Vi 93B2 suomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction"
Lab of Engineering Electromagnetics, focused on simulation of electromagnetic field distributions and trajectories using MATLAB
主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。
Build your neural network easy and fast, 莫烦Python中文教学
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
A Pytorch tutorial of Conditional Flow Matching[Lipman22] using MNIST dataset.
Class Activation Map(CAM) with Pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A quickstart and benchmark for pytorch distributed training.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch