shuoyang's repositories
Awesome-Backbones
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
Awesome-Surgical-Video-Analysis
Papers of ComputerVision x Surgery
chatgpt-cn-full-tutorial
ChatGPT 中文注册全过程。高速镜像网站、软件推荐、浏览器扩展，高效助力编程开发！
Classification-12Cat-ResNet-and-ViT
细粒度图像分类之十二猫分类，对比ResNet和ViT两者模型性能。
decentralized-multiarm
[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
detr
End-to-End Object Detection with Transformers
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Efficient-3DCNNs
PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.
hand_eye_calibration
Python tools to perform time-synchronization and hand-eye calibration.
Kandinsky-2
Kandinsky 2 — multilingual text2image latent diffusion model
python-urx
Python library to control a robot from 'Universal Robots' http://www.universal-robots.com/
pytorch-dense-correspondence
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
QT_Opt
Q-network with cross-entropy (CE) method for reinforcement learning.
S2VT
S2VT pytorch implementation
setr-pytorch
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
suctionnet-baseline
Baseline methods in RA-L paper "SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping"
surch-dataset
Prostatectomy robotic surgery video dataset labelled with anatomy and surgical action for each timestamp
tensorflow
Computation using data flow graphs for scalable machine learning
Towards-Unified-Surgical-Skill-Assessment
Codes for "Towards Unified Surgical Skill Assessment" (CVPR 2021)
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
vgn
Real-time 6 DOF grasp detection in clutter.
vision-based-robotic-grasping
Related papers and codes for vision-based robotic grasping
visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
x-clip
A concise but complete implementation of CLIP with various experimental improvements from recent papers