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[ICLR 2025] SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
Building a high-performance bipedal robot that combines Pixar and Disney BDX
[IEEE RA-L'25] NavRL: Learning Safe Flight in Dynamic Environments (NVIDIA Isaac/Python/ROS1/ROS2)
MM-EUREKA: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning
Port of OpenAI's Whisper model in C/C++
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
A full Python implementation for real car surround view system
Solve Visual Understanding with Reinforced VLMs
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Python sample codes and textbook for robotics algorithms.
Python Implementation of Reinforcement Learning: An Introduction
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）
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页：http://111.229.117.200:8100/ (作者独立搭建)
A collection of recent resources on End-to-End Autonomous Driving [survey accepted in IEEE TIV]
📚 Freely available programming books
[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
SVG icons for popular brands
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Official Pytorch implementation of "Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video", CVPR 2021
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
GeekLiB / Lee-SLAM-source
Forked from AlbertSlam/Lee-SLAM-sourceSLAM 开发学习资源与经验分享
A collection of awesome readme templates to display on your profile
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!