Lists (19)
Stars
PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
The simplest, fastest repository for training/finetuning small-sized VLMs.
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
A final sanity checklist to help your CS paper get accepted, not desk rejected.
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
A comprehensive list of excellent research papers, models, datasets, and other resources on Vision-Language-Action (VLA) models in robotics.
This repository contains information for the paper "A Survey on RGB-D Datasets" and is a collaborative initiative to update the datasets list faster.
Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
A grid world environment for high-level earthworks planning in JAX for RL.
A curated list of state-of-the-art research in embodied AI, focusing on vision-language-action (VLA) models, vision-language navigation (VLN), and related multimodal learning approaches.
A curated list of awesome open-source grasping libraries and resources
Collect some related resources of NVIDIA Isaac Sim
paper list of robotic grasping and some related works
✨✨latest advancements in VLA models(VIsion Language Action)
Overview about state-of-art imitation learning techniques for robotic manipulation, enabling generalization across diverse tasks and environments.
Easy-to-follow, Intuitive MuJoCo tutorial codes for robotics algorithms.
This is a very simple example of creating and training your own MuJoCo environment using RL algorithms through the Gymnasium.
Repository relating to "Student-Informed Teacher Training" (ICLR, 2025).
Environments, assets, workflow for open-source mobile robotics, integrated with IsaacLab.
Multiple experimental environments for Isaac Lab.
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well a…