shuchang's Stars
PKUFlyingPig/cs-self-learning
计算机自学指南
typst/typst
A new markup-based typesetting system that is powerful and easy to learn.
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
isl-org/Open3D
Open3D: A Modern Library for 3D Data Processing
timzhang642/3D-Machine-Learning
A resource repository for 3D machine learning
NVIDIAGameWorks/kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
wkentaro/gdown
Google Drive Public File Downloader when Curl/Wget Fails
MLNLP-World/Paper-Writing-Tips
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
nerfies/nerfies.github.io
jonbarron/website
isaac-sim/IsaacGymEnvs
Isaac Gym Reinforcement Learning Environments
shengyp/doing_the_PhD
hzwer/WritingAIPaper
Writing AI Conference Papers: A Handbook for Beginners
justimyhxu/awesome-3D-generation
A curated list of awesome 3d generation papers
stevenygd/PointFlow
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
pmneila/PyMCubes
Marching cubes (and related tools) for Python
Toni-SM/skrl
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
graspnet/graspnet-baseline
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
optas/latent_3d_points
Auto-encoding & Generating 3D Point-Clouds.
AutodeskAILab/Fusion360GalleryDataset
Data, tools, and documentation of the Fusion 360 Gallery Dataset
daerduoCarey/structurenet
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
czq142857/IM-NET-pytorch
PyTorch 1.2 implementation of IM-NET.
black0017/3D-GAN-pytorch
Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling.pdf
caelan/motion-planners
Python implementations of several robotic motion planners
ChrisWu1997/PQ-NET
code for our CVPR 2020 paper "PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes"
amirhertz/spaghetti
yunshengtian/ASAP
[ICRA 2024] ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility