Pinned Repositories
basic_ML
This repository contains simple usage examples for basic machine learning libraries. These notebooks are tested in Colab.
bayesian_ML
Bayesian based machine learning implementations (GMM, VAE & conditional VAE).
ChuaCheowHuan.github.io
My github pages
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.
OrderBook
Matching Engine for Limit Order Book
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].
reinforcement_learning
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
sagemaker_Ray_RLlib_custom_env
Sample setup for custom reinforcement learning environment in Sagemaker. This example uses Proximal Policy Optimization with Ray (RLlib).
web_app_DPDTH
Sample CI/CD devops setup of Django & Postgres web app with Docker, Travis & Heroku.
ChuaCheowHuan's Repositories
ChuaCheowHuan/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.
ChuaCheowHuan/reinforcement_learning
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
ChuaCheowHuan/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].
ChuaCheowHuan/web_app_DPDTH
Sample CI/CD devops setup of Django & Postgres web app with Docker, Travis & Heroku.
ChuaCheowHuan/bayesian_ML
Bayesian based machine learning implementations (GMM, VAE & conditional VAE).
ChuaCheowHuan/sagemaker_Ray_RLlib_custom_env
Sample setup for custom reinforcement learning environment in Sagemaker. This example uses Proximal Policy Optimization with Ray (RLlib).
ChuaCheowHuan/OrderBook
Matching Engine for Limit Order Book
ChuaCheowHuan/basic_ML
This repository contains simple usage examples for basic machine learning libraries. These notebooks are tested in Colab.
ChuaCheowHuan/ChuaCheowHuan.github.io
My github pages
ChuaCheowHuan/django_tutorial
Source code for the official Django tutorial (writing your first Django app).
ChuaCheowHuan/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.
ChuaCheowHuan/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.
ChuaCheowHuan/sagemaker-rl-container
A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.
ChuaCheowHuan/web_app_DPTH
Sample CI/CD devops setup of Django & Postgres web app with Travis & Heroku