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Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

数据科学的笔记以及资料搜集

Deep Interaction Prediction Network with Application to Clutter Removal

[CoRL 2020] Learning 3D Dynamic Scene Representations for Robot Manipulation

Assignments for course IERG 6130: Reinforcement Learning and Beyond

Code for the ICCV19 paper Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters

[Reproduce] KeyNet (Barroso-Laguna et al. ICCV 2019) implementation using PyTorch. (Unofficial)

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

[ICCV 2019] Monocular depth estimation from a single image

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch Tutorial for Deep Learning Researchers

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Some basic examples of playing with RL

RoboVat: A unified toolkit for simulated and real-world robotic task environments.

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Implementation of SETR model, Original paper: Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds. ICCV 2019

Datasets, Transforms and Models specific to Computer Vision

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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