Lists (15)
Stars
仅需Python基础，从0构建自己的具身智能机器人；从0逐步构建VLA/OpenVLA/SmolVLA/Pi0， 深入理解具身智能
从零到一搭建一台具身智能机器人:深入强化学习、World-Model、VLA 等智能决策方法的工程落地,贯穿仿真环境、控制器、运动规划、感知系统等技能树模块,并在真实项目中跑通"决策—控制—感知"完整链路。
🧠「大模型」2小时完全从0训练64M的小参数LLM！Train a 64M-parameter LLM from scratch in just 2h!
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Awesome Unified Multimodal Models
Several simple examples for popular neural network toolkits calling custom CUDA operators.
An annotated implementation of the Transformer paper.
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Chinese software copyright application template document
[Embodied-AI-Survey-2025] Paper List and Resource Repository for Embodied AI
[Lumina具身智能社区] 具身智能技术指南 Embodied-AI-Guide
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Code Notes (in Chinese) for 3D Gaussian Splatting
[CVPR 2025] JamMa is a lightweight image matcher that enables fast internal and mutual interaction of images with joint Mamba.
gisbi-kim / FAST_LIO_SLAM
Forked from hku-mars/FAST_LIOLiDAR SLAM = FAST-LIO + Scan Context
A simple implementation of RDA (Range Doppler Algorithm) for SAR (Synthetic Aperture Radar) data
[IROS 2024] A LiDAR-inertial odometry (LIO) package that can adjust the execution frequency beyond the sweep frequency
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-IC…
A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition
Implementation of Adversarial Multi-Distillation for Automatic Modulation Recognition Models.
IQFormer: A Novel Transformer-Based Model with Multi-modality Fusion for Automatic Modulation Recognition
Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder