AIwuya

DeepLearning

深度学习、强化学习、模仿学习与机器人

cs-self-learning

计算机自学指南

Heart-rate-measurement-using-camera

real time application to measure heart rate

llm-action

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）

PyTorch-Tutorial-2nd

《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

SIMPL

SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving

MTR

MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.

Learning-Deep-Learning

Paper reading notes on Deep Learning and Machine Learning

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

EigenTrajectory

Official Code for "EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting (ICCV 2023)"

MTN_trajectory

This is an official repository of Multimodal Transformer Network for Pedestrian Trajectory Prediction.

vision-based-prediction

Deep Learning for Vision-based Prediction

awesome-pedestrian-behavior-estimation

Papers and resources collection about pedestrian behavior estimation

ped-int-tra

Pedestrian Intention and Trajectory Prediction Study Using PIEPredict and LSTM Models over PIE and Waymo-Open datasets.

Pedestrian-Intention-Prediction

SHENet

STR-PIP

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

pillar-motion

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

UniAD

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

scl

Awesome-Trajectory-Motion-Prediction-Papers

TDengine

High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

FTGN

Official implementation of the paper "Trajectory Forecasting on Temporal Graphs"

DSP

Trajectory Prediction with Graph-based Dual-scale Context Fusion

HiVT

[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

waymo-motion-prediction-challenge-2022-multipath-plus-plus

Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

GNN4Traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

M2I

M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.

Awesome-Autonomous-Driving