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anti-carla

Automated Testing Framework for CARLA Simulator [ITSC 2022]

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

carla-plus

An open-source PGM-based autonomous driving simulator for complex urban environments.

cpp-coding-interview

Cracking the Coding Interview 6th Ed. C++ Solutions

data-structure-and-algorithms

C++ implementation of data structures

dc3

DC3: A Learning Method for Optimization with Hard Constraints

fsm-game

interviews

Everything you need to know to get the job.

mpc.pytorch

A fast and differentiable model predictive control (MPC) solver for PyTorch.

neetcode

Leetcode solutions

optimal-traj-frenet-frame

Optimal Trajectory Generation in Frenet Frame for Motion Planning

optnet

OptNet: Differentiable Optimization as a Layer in Neural Networks

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

quintic-polynomial-solver

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

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

risk-aware-scene-generation

rl

The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control.

safebench

A Benchmark for Evaluating Autonomous Vehicles in Safety-critical Scenarios

scenariolibrary

A library of interactive scenario programs to evaluate behavior prediction models.

scenic-carla

Collect scenario data from Carla using Scenic scenarios. Data available at the below link. Please feel free to raise a github issue for any questions.

simpl

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

stl_coding_interviews

Important C++ STL data structures and algorithms for coding interviews

stock-yfinance

tech-interview-handbook

💯 Materials to help you rock your next coding interview

tensorflow-tutorials

Simple tutorials using Google's TensorFlow Framework

traj_generator

Common used curves for motion planning.

transformers-tutorials

Github repo with tutorials to fine tune transformers for diff NLP tasks

tuplan_garage

[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning

verifai-scenic-carla

The main entry point for executing the testing pipeline.