lgy250's Stars
HarshayuGirase/Human-Path-Prediction
State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.
InhwanBae/GraphTERN
Official Code for "A Set of Control Points Conditioned Pedestrian Trajectory Prediction (AAAI 2023)"
ccfddl/ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
qhduan/cn-chat-arxiv
fishaudio/Bert-VITS2
vits2 backbone with multilingual-bert
Vincentqyw/Recent-Stars-2024
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
realcrane/Human-Trajectory-Prediction-via-Neural-Social-Physics
Our ECCV 2022 paper Human Trajectory Prediction via Neural Social Physics
ZikangZhou/HiVT
[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
zergtant/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
xuehaouwa/Awesome-Trajectory-Prediction
alexandrx/lidar_cloud_to_image
Conversion from 3D LiDAR pointcloud to images
kahowang/FAST_LIO_SAM
Front_end : fastlio2 Back_end : lio_sam
jaanli/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
crowdbotp/OpenTraj
Human Trajectory Prediction Dataset Benchmark (ACCV 2020)
xupei0610/SocialVAE
[ECCV2022] SocialVAE: Human Trajectory Prediction using Timewise Latents
Khrylx/AgentFormer
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
itbooks1024/books-pdf
程序员必看的经典书籍,编程电子书下载,附带pdf下载链接,包括C,C++,Java,Python,Linux,Go,数据结构与算法,人工智能,计算机基础,面试,设计模式,数据库,前端等
subtchallenge/subt_resources
Documentation of open resources developed by competitors in the SubT Challenge, including open-source software and datasets.
erik-nelson/blam
SYSU-RoboticsLab/FAEL
FAEL: Fast Autonomous Exploration for Large-Scale Environments with a Mobile Robot
cuitaixiang/LOAM_NOTED
loam code noted in Chinese(loam中文注解版)
Arafat-ninja/FAST_LIO
仅用于学习
gisbi-kim/lt-mapper
A Modular Framework for LiDAR-based Lifelong Mapping
MeiyuanXiang/FAST_LIO_MeiyuanXiang
FAST_LIO相关论文、代码中文注释以及代码改动
IKAROS93/Livox_laser_simulation_for_CARLA
Livox-SDK/livox_laser_simulation
A package to provide plug-in for Livox Series LiDAR.
Taeyoung96/ICRA-2022-SLAM-paper-list
Unofficial ICRA 2022 SLAM paper list
ManiiXu/VINS-Mono-Learning
VINS-Mono代码注释,仅供学习
RuPingCen/ReadT265
通过OpenCV读取T265的图像数据和IMU数据