Chua Cheow Huan's repositories

gym-continuousDoubleAuction

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

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reinforcement_learning

My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.

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PBT_MARL_watered_down

My attempt to reproduce a water down version of PBT (Population based training) for MARL (Multi-agent reinforcement learning) using DDPPO (Decentralized & distributed proximal policy optimization) from ray[rllib].

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web_app_DPDTH

Sample CI/CD devops setup of Django & Postgres web app with Docker, Travis & Heroku.

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bayesian_ML

Bayesian based machine learning implementations (GMM, VAE & conditional VAE).

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sagemaker_Ray_RLlib_custom_env

Sample setup for custom reinforcement learning environment in Sagemaker. This example uses Proximal Policy Optimization with Ray (RLlib).

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OrderBook

Matching Engine for Limit Order Book

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basic_ML

This repository contains simple usage examples for basic machine learning libraries. These notebooks are tested in Colab.

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django_tutorial

Source code for the official Django tutorial (writing your first Django app).

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facial_landmark_pred_example

A simple example of painting color over the lips region based on facial landmark prediction with the Helen dataset, using transfer learning & fine tuning with a 3rd party pretrained model.

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ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

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sagemaker-rl-container

A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.

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web_app_DPTH

Sample CI/CD devops setup of Django & Postgres web app with Travis & Heroku

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