Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

PRML algorithms implemented in Python

[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"

Tools for dataset generation based on CARLA simulator. (Data Collector)

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

Udacity Self-Driving Car Engineer Nanodegree: Quintic Polynomial Solver. & Paper 'Optimal Trajectory Generation for Dynamic Street Scenarios in a Frenet Frame'

MetaDrive: Lightweight driving simulator for everyone

An OpenAI gym wrapper for CARLA simulator

Official GitHub repository for Argoverse dataset

Python package to process NGSIM data and traffic sensing with autonomous vehicles

A minimalist environment for decision-making in autonomous driving

[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement

Implementations of selected inverse reinforcement learning algorithms.

Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inverse Reinforcement Learning" - (Ziebart et al. 2008)