JiangJubo
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Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Survey Paper of foundation models for robotics
The world's largest GitHub Repository for LLMs + Robotics
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
Python library for loading and using triangular meshes.
A web security gateway, serve as a reverse proxy to protect your websites from attacks and exploits.
Rich is a Python library for rich text and beautiful formatting in the terminal.
Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"
🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch
Repository to accompany RSS 2018 paper on dexterous hand manipulation
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
[NeurIPS 2022] Winning code for the Baoding ball MyoChallenge at NeurIPS 2022
Reinforcement Learning with Model Predictive Control
Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。
Simple project webpage template. Originally used in Colorful Image Colorization. ECCV, 2016.
A responsive project webpage template.
GRAB: A Dataset of Whole-Body Human Grasping of Objects
Code release for "Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps"
Question and Answer based on Anything.
Papers from the computer science community to read and discuss.
Curated list of project-based tutorials
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术