jammy112's repositories
tidybot
TidyBot: Personalized Robot Assistance with Large Language Models
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
baize
Baize is an open-source chatbot trained with ChatGPT self-chatting data, developed by researchers at UCSD and Sun Yat-sen University.
ChatYuan
ChatYuan: Large Language Model for Dialogue in Chinese and English
Chinese-alpaca-lora
骆驼:A Chinese finetuned instruction LLaMA. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
Awesome-BEV-Perception-Multi-Cameras
Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird-Eye-View, such as DETR3D, BEVDet, BEVFormer
interactive_reward_functions
Code release for "Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning" (CoRL'22)
bevfusion
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
RegionCLIP
[CVPR 2022] Official code for "RegionCLIP: Region-based Language-Image Pretraining"
Dummy-Robot
我的超迷你机械臂机器人项目。
ORB_SLAM3_detailed_comments
Detailed comments for ORB-SLAM3
SSC
Semantic Scan Context
LVI-SAM
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
yoltv4
Better, faster, peering over yonder. Improved large scale object detection in aerial/satellite imagery.
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
RandLA-Net-pytorch
PyTorch implementation of RandLA-Net
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
W-Stereo-Disp
(NeurIPS 2020) Wasserstein Distances for Stereo Disparity Estimation
semantic_suma
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
segmap
A map representation based on 3D segments
lidar-bonnetal
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
fast-depth
ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"
slambook2-ch13-VO-comment
视觉SLAM十四讲ch13中VO的详细注释版本，基本覆盖所有理解难点，尤其对入门学者十分友好！！
LessMore
Learning Less is More - 6D Camera Localization via 3D Surface Regression