Thirteentj

HowToCook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).

acad-homepage.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

bark

Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving

CoPO

[NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deepwalk

DeepWalk - Deep Learning for Graphs

DSP

Trajectory Prediction with Graph-based Dual-scale Context Fusion

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

flow

Computational framework for reinforcement learning in traffic control

Game_interaction_solution

Game_solution

Intersection veh interactive by gaming

GeneticAlgorithmPython

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

gpt4free

decentralising the Ai Industry, just some language model api's...

GroupNet

[CVPR22] GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning

HumanSystemOptimization

健康学习到150岁 - 人体系统调优不完全指南

IETP

Official codes for paper: An Ensemble Learning Framework for Trajectory Prediction in Interactive Scenarios

l5kit

L5Kit - https://level-5.global/

metadrive

MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning

MMPose_Tutorials

Jupyter notebook tutorials for mmpose

modified_LaneGCN

modified for TrajGen

NiaPy

Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org

nocturne

A data-driven, fast driving simulator for multi-agent coordination under partial observability.

offlineRL-INTERACTION

ScePT

Code for the CVPR 2022 paper "ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning" by Yuxiao Chen, Boris Ivanovic, and Marco Pavone

smarts-project.offline-datasets

Offline datasets for Driving SMARTS Competition

starter-hugo-academic

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo and GitHub.

STRIVE

Code for CVPR 2022 paper "Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior"

Thirteentj.github.io

TNT-Trajectory-Predition

A Pytorch Implementation of TNT: Target-driveN Trajectory Prediction