etarakci-hvl

2019-CS109A

https://harvard-iacs.github.io/2019-CS109A/

BMAD

Resources for Bayesian Models for Astrophysical Data - Hilbe, de Souza and Ishida, 2016, Cambridge University Press

clipsmm

C++ Binding for CLIPS Rules Engine

Deep-QLearning-Agent-for-Traffic-Signal-Control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.

deeplearning-models

A collection of various deep learning architectures, models, and tips

f1-10_RRT_planning

Motion planning with RRT* on F1/10 autonomous racing car

Fast-Planner

A Robust and Efficient Trajectory Planner for Quadrotors

flann

Fast Library for Approximate Nearest Neighbors

highway-env

An environment for autonomous driving decision-making

learning-to-drive-in-5-minutes

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

matlab-rrt-variants

RRT*, RRT-connect, lazy RRT and RRT extend have been implemented for 2d and 3d c-spaces with visualization

modAL

A modular active learning framework for Python

MotionGAN

moveit

:robot: The MoveIt motion planning framework

Multiple-Object-Forecasting

Repo for the paper 'Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments'. WACV 2020

My_Bibliography_for_Research_on_Autonomous_Driving

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

NHTTC

Companion code for the RSS 2020 submission "NH-TTC: A generalized framework for anticipatory collision avoidance"

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

opt_control

Time-optimal Trajectory Generation and Control

optuna

A hyperparameter optimization framework

path_planner

Hybrid A* Path Planner for the KTH Research Concept Vehicle

phyre

PHYRE is a benchmark for physical reasoning.

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

python-pathfinding

Implementation of common pathfinding algorithms

sampling-based-planners

C++ implementation of RRT, RRT*, and Informed-RRT* using kd-tree for searching NN and NBHD nodes. Supports arbitrary dimensions and compiles as a shared library.

severalStuff

Social-STGCNN

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

Spectral-Trajectory-Prediction

This is the code base for Trajectory Prediction in autonomous vehicles using Spectral Graph Theory

Trajectron-plus-plus

Code accompanying "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).