Guocong Zhai (gzhai001)

gzhai001

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Company:National University of Singapore

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Guocong Zhai's repositories

AI_Curriculum

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

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applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

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awesome-causality-algorithms

An index of algorithms for learning causality with data

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awesome-real-world-rl

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

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cheatsheets

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

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chicago-taxi-data

Import and analyze Chicago public taxi and ride-hailing data

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Collect-escooter-data

The code is designed to collect escooter trip data hourly

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course-content

Summer course content for Neuromatch Academy

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Explainable-MP

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

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flow

Computational framework for reinforcement learning in traffic control

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GANITE

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

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Slides

The posters and slides for publications

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Statistics_Notebook

Advanced statistical methods in the transportation area

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city-surfaces

CitySurfaces semantic segmentation of sidewalk surfaces

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Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

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DeepRL_Algorithms

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

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deeprl_signal_control

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

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game-theoretic-forecasting-planning

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

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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.

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generative-models

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

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ml_stat_class

Machine Learning in Statistics JHU class

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movingpandas

Movement trajectory classes and functions built on top of GeoPandas

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tf2rl

TensorFlow2 Reinforcement Learning

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tile2net

Automated mapping of pedestrian networks from aerial imagery tiles

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trajdata

A unified interface to many trajectory forecasting datasets.

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trajectory_dataset_support

Some plugins for highD series dataset

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waymo-open-dataset

Waymo Open Dataset

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