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felixpun's Projects

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep_learning_object_detection

A paper list of object detection using deep learning.

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

denoisingdiffusionprobabilitymodel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

dex-hand-teleop

From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation, RA-L IROS 2022

dexart-release

DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects, CVPR 2023

dexpoint-release

DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation, CoRL 2022

diffuser

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

diffusion-literature-for-robotics

Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.

diffusion_policy

[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

diffusiondet

[ICCV2023 Oral] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

diffusionerf

[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

diffusioninst

This repo is the code of paper "DiffusionInst: Diffusion Model for Instance Segmentation".

dig

A library for graph deep learning research

dilate

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

dpgn

This repository contains the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.

drl

Deep Reinforcement Learning

dynamic-gnn-planning

Code for NeurIPS22' paper Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding

face.evolve.pytorch

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

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子，not only how，but also why. English version supported!

geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

gnfactor

[CoRL 2023 Oral] GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields

gnn-motion-planning

The official repo for NeurIPS 2021 paper 'Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks'

go-slam

[ICCV2023] GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction

gpmp2

Gaussian Process Motion Planner 2

grasp_diffusion

Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home

hashnerf-pytorch

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

hyrsm

Code for our CVPR 2022 Paper "Hybrid Relation Guided Set Matching for Few-shot Action Recognition".

iccv2023-diffusion-papers

ICCV2023-Diffusion-Papers

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