Pinned Repositories
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
Collect-escooter-data
The code is designed to collect escooter trip data hourly
Slides
The posters and slides for publications
Statistics_Notebook
Advanced statistical methods in the transportation area
gzhai001's Repositories
gzhai001/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
gzhai001/awesome-causality-algorithms
An index of algorithms for learning causality with data
gzhai001/awesome-real-world-rl
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
gzhai001/cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
gzhai001/chicago-taxi-data
Import and analyze Chicago public taxi and ride-hailing data
gzhai001/Collect-escooter-data
The code is designed to collect escooter trip data hourly
gzhai001/course-content
Summer course content for Neuromatch Academy
gzhai001/Explainable-MP
Code for "Towards Explainable Multi-modal Motion Prediction using Graph Representations"
gzhai001/GANITE
Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
gzhai001/Slides
The posters and slides for publications
gzhai001/Statistics_Notebook
Advanced statistical methods in the transportation area
gzhai001/city-surfaces
CitySurfaces semantic segmentation of sidewalk surfaces
gzhai001/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
gzhai001/DeepRL_Algorithms
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
gzhai001/deeprl_signal_control
multi-agent deep reinforcement learning for large-scale traffic signal control.
gzhai001/ding_causalInference_python
python implementation of Peng Ding's "First Course in Causal Inference"
gzhai001/game-theoretic-forecasting-planning
Code for IROS 2023 paper "A Game-Theoretic Framework for Joint Forecasting and Planning"
gzhai001/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.
gzhai001/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
gzhai001/MetricsMLNotebooks
Notebooks for Applied Causal Inference Powered by ML and AI
gzhai001/ml_stat_class
Machine Learning in Statistics JHU class
gzhai001/movingpandas
Movement trajectory classes and functions built on top of GeoPandas
gzhai001/NCHRP-BSM-Traffic-Measures
gzhai001/Neural-Moment-Matching-Regression
gzhai001/NIS_for_Causal_Emergence
gzhai001/tf2rl
TensorFlow2 Reinforcement Learning
gzhai001/tile2net
Automated mapping of pedestrian networks from aerial imagery tiles
gzhai001/trajdata
A unified interface to many trajectory forecasting datasets.
gzhai001/trajectory_dataset_support
Some plugins for highD series dataset
gzhai001/waymo-open-dataset
Waymo Open Dataset