Ruikai Liu's repositories
python-time-series-handbook
Notebooks for the course "Time series analysis with Python"
Book-Mathematical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
TCP-IP-ROS-6AXis
Dobot all robot type serial callaborative robot with ROS
Orbit
Unified framework for robot learning built on NVIDIA Isaac Sim
scenic
Scenic: A Jax Library for Computer Vision Research and Beyond
drl-zh
Deep Reinforcement Learning: Zero to Hero!
OmniIsaacGymEnvs
Reinforcement Learning Environments for Omniverse Isaac Gym
TCP-IP-Python-V3
Demo about Python package 6-axis V3 based on TCP/IP protocol 。 Version V3.5.5.0 or above ,
digit-design
Design files for the DIGIT tactile sensor
FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
CV
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。
hora
In-Hand Object Rotation via Rapid Motor Adaptation (CoRL 2022), and more
IsaacGymEnvs
Isaac Gym Reinforcement Learning Environments
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
diffusion_policy
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Gen6D
[ECCV2022] Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
MeshConvolution
Code for Mesh Convolution Using a Learned Kernel Basis
PyTorch-MAML
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.