Trung Nguyen's repositories
RL_practices
Practice workspaces for Reinforcement Learning
A2C
A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
adventures-in-ml-code
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
atari
AI research environment for the Atari 2600 games 🤖.
aws-doc-sdk-examples
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.rst file below.
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Biological_Learning
Example of "biological" learning for MNIST
conceptnet5
Code for building ConceptNet from raw data.
course-v3
The 3rd edition of course.fast.ai
Deep-Learning-with-TensorFlow
Deep Learning with TensorFlow by Packt
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow
DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
djongo
Django and MongoDB database connector
garage
A framework for reproducible reinforcement learning research
gym-gazebo
A toolkit for developing and comparing reinforcement learning algorithms using ROS and Gazebo.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
introtodeeplearning_labs
Lab Materials for MIT 6.S191: Introduction to Deep Learning
keras-mdn-layer
An MDN Layer for Keras using TensorFlow's distributions module
liir
Learning Individual Intrinsic Reward in MARL
matrixprofile-ts
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
MotionPlannerUsingDDPG
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
pyro_v5.0.0
Python Robotics v5.0.0
pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Reinforcement-Learning-1
Modular implementations of reinforcement learning algorithms with Python and PyTorch
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
rlar_foraging_pub
Reinforcement Learning as a Rehearsal for Swarm Foraging
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
tensorforce
Tensorforce: A TensorFlow library for applied reinforcement learning
Tic-Tac-Toe-Gym_Environment
This is an implementation of the tic-tac-toe game as a gym environment. It can be used to make the computer learn playing the Tic-Tac-Toe game.
wsu_cs_ai_2023
Demonstration code for AI Talk at CS Club in Nov 2023