
Starred repositories
Embedded graphics library to create beautiful UIs for any MCU, MPU and display type.
Arduino and PlatformIO IDE compatible TFT library optimised for the Raspberry Pi Pico (RP2040), STM32, ESP8266 and ESP32 that supports different driver chips
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
PyTorch implementations of deep reinforcement learning algorithms and environments
[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI
[Lumina Embodied AI Community] 具身智能技术指南 Embodied-AI-Guide
Official code of paper "DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution"
Implementation of π₀, the robotic foundation model architecture proposed by Physical Intelligence
3030712382 / xiaozhi-esp32
Forked from 78/xiaozhi-esp32Build your own AI friend
本项目为xiaozhi-esp32提供后端服务,帮助您快速搭建ESP32设备控制服务器。Backend service for xiaozhi-esp32, helps you quickly build an ESP32 device control server.
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2
Visual Studio Code extension for ESP-IDF projects
Bits and bobs related to Wireless-Tag's WT32-ETH01 board
A simple implementation of Generative Adversarial Imitation Learning with PyTorch
PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
Code for the paper "Generative Adversarial Imitation Learning"
Clean PyTorch implementations of imitation and reward learning algorithms