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book-mathematical-foundation-of-reinforcement-learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

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】

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

diffusion_policy

[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

digit-design

Design files for the DIGIT tactile sensor

drl-zh

Deep Reinforcement Learning: Zero to Hero!

fsl-mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

gen6d

[ECCV2022] Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images

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

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.

isaacgymenvs

Isaac Gym Reinforcement Learning Environments

joyrl

meshconvolution

Code for Mesh Convolution Using a Learned Kernel Basis

multimodal_representation

omniisaacgymenvs

Reinforcement Learning Environments for Omniverse Isaac Gym

orbit

Unified framework for robot learning built on NVIDIA Isaac Sim

python-time-series-handbook

Notebooks for the course "Time series analysis with Python"

pytorch-maml

A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.

rlpd

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

tactile-diffusion

tcp-ip-python-v3

Demo about Python package 6-axis V3 based on TCP/IP protocol 。 Version V3.5.5.0 or above ,

tcp-ip-ros-6axis

Dobot all robot type serial callaborative robot with ROS

tlbook-code

Code for Transfer Learning book--《迁移学习导论》配套代码

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习