Popular GitHub Repositories for Sussex Huawei Locomotion

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

☔ 敏捷开发最强大易用的接口工具，机器学习零代码测试与 AI 问答、生成代码与静态检查、生成文档与光标悬浮注释，腾讯、华为、SHEIN、传音、工行等使用 ☔ The most advanced tool for HTTP API. Machine learning no-code testing and AI assistant, generating codes and static analysis, generating comments and floating hints. Used by Tencent, Huawei, SHEIN, TRANSSION, ICBC, etc.

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695

Deep RL for MPC control of Quadruped Robot Locomotion

Training a humanoid robot for locomotion using Reinforcement Learning

This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

A curated list of resources relevant to legged locomotion learning of robotics.

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

A differentiable physics engine for robotics

[CoRL 2022] Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.

A Multi-Task Dataset for Simulated Humanoid Control

Diffusion Singing Voice Conversion based on Grad-TTS from HuaWei

Reproduction code of paper "World Model-based Perception for Visual Legged Locomotion"

ViNL: Visual Navigation and Locomotion over Obstacles (ICRA 2023)

Code for Prompt a Robot to Walk with Large Language Models https://arxiv.org/abs/2309.09969