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ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-geospatial

Long list of geospatial tools and resources

awesome-real-world-rl

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

cheatsheets

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

chicago-taxi-data

Import and analyze Chicago public taxi and ride-hailing data

city-surfaces

CitySurfaces semantic segmentation of sidewalk surfaces

collect-escooter-data

The code is designed to collect escooter trip data hourly

course-content

Summer course content for Neuromatch Academy

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deeprl_algorithms

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

deeprl_signal_control

multi-agent deep reinforcement learning for large-scale traffic signal control.

explainable-mp

Code for "Towards Explainable Multi-modal Motion Prediction using Graph Representations"

flow

Computational framework for reinforcement learning in traffic control

game-theoretic-forecasting-planning

Code for IROS 2023 paper "A Game-Theoretic Framework for Joint Forecasting and Planning"

gan-for-tabular-data

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

ganite

Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

ml_stat_class

Machine Learning in Statistics JHU class

movingpandas

Movement trajectory classes and functions built on top of GeoPandas

nchrp-bsm-traffic-measures

neural-moment-matching-regression

nis_for_causal_emergence

slides

The posters and slides for publications

statistics_notebook

Advanced statistical methods in the transportation area

tf2rl

TensorFlow2 Reinforcement Learning

tile2net

Automated mapping of pedestrian networks from aerial imagery tiles

trajdata

A unified interface to many trajectory forecasting datasets.

travel_baidu

Travel information by given origins and destinations