sanghongrui's Stars
facebookresearch/home-robot
Mobile manipulation research tools for roboticists
chrischoy/3D-R2N2
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
wbhu/BPNet
Implementation of "Bidirectional Projection Network for Cross Dimension Scene Understanding" CVPR 2021 (Oral)
cagcoach/BlenderPlot
A script for plotting Voxel Diagrams using Blender
devendrachaplot/Neural-SLAM
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
DaizeDong/Stanford-CS231n-2021-and-2022
Notes and slides for Stanford CS231n 2021 & 2022 in English. I merged the contents together to get a better version. Assignments are not included. 斯坦福cs231n的课程笔记(英文版本,不含实验代码),将2021与2022两年的课程进行了合并,分享以供交流。
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
JindongJiang/RedNet
Official Release of the RGB-D Semantic Segmentation model RedNet.
zanilzanzan/FuseNet_PyTorch
Joint scene classification and semantic segmentation with FuseNet
MehmetAygun/fusenet-pytorch
Yangzhangcst/RGBD-semantic-segmentation
A paper list of RGBD semantic segmentation (processing)
TUI-NICR/ESANet
ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
davidtvs/PyTorch-ENet
PyTorch implementation of ENet
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
angeladai/3DMV
[ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
StanfordVL/OmniGibson
OmniGibson: a platform for accelerating Embodied AI research built upon NVIDIA's Omniverse engine. Join our Discord for support: https://discord.gg/bccR5vGFEx
real-stanford/dsr
[CoRL 2020] Learning 3D Dynamic Scene Representations for Robot Manipulation
CursedSeraphim/icmppo
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
rdevon/DIM
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
gtegner/mine-pytorch
Mutual Information Neural Estimation in Pytorch
RLE-Foundation/RLeXplore
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
seungjaeryanlee/rl-exploration
Reinforcement Learning papers on exploration methods.
yiskw713/Affordance_detection_with_pytorch
detect affordances of objects using Segmentation network with pytorch
lhc1224/OSAD_Net
Pytorch implementation of One-Shot Affordance Detection
wqi/A2L
[ICLR 2020] Learning to Move with Affordance Maps 🗺️🤖💨
facebookresearch/interaction-exploration
Code for "Learning Affordance Landscapes for Interaction Exploration in 3D Environments" (NeurIPS 20)
amazon-science/multimodal-neuralslam
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
zergtant/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
zhunzhong07/Random-Erasing
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST