djbyrne

Landing-A-Rocket-With-Simple-Reinforcement-Learning

This repo gives an example of using a simple method of reinforcement learning to beat the Lunar Lander environment. The agent uses a combination of CEM and neural networks using the pytorch library.

MonteCarlo

Implementation of first visit Monte Carlo for prediction and control

TD3

Implementation of the TD3 algorithm written in Pytorch

core_rl

Repo of core reinforcement learning algorithms and explanations using pytorch lightning

CNN-On-The-Cloud-

Code used to build an image classifier for the Fashion MNIST dataset. Built using the Keras library and trained on the FloydHub cloud platform

DDPG_Reacher

Experiment to implement the DDPG algorithm to train a mechanical arm to reach for a moving target inside the unity ML-Agents virtual environment

DQN_Tensorflow

A jupyter notebook implementing the DQN model in VizDoom

Neural-Network-From-Scratch-Tumour-Diagnosis

This notebook goes through how to build a neural network using only numpy. The network classifies tumours, identifying if they are malignant or benign. This notebook uses the Breast Cancer Wisconsin dataset.

SAC

Pytorch implementation of the Soft Actor Critic Algorithm

awesome-prompt-engineering

repo containing useful prompt engineering templates that I use for coding, research and productivity

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

FlappyBirdRL

A reinforcement learning environment based on the mobile game "Flappy Bird" built using the Unity ml-agents framework

MADDPG

Final project for the Udacity RL nano degree implementing Multi Agent Deep Deterministic Policy Gradients

acme

A library of reinforcement learning components and agents

adventures_in_cuda

AI_Hack_NIA

Nia is nutrition app using object classification and detection to gives users nutritional information about their meals and if the portion size is correct

DDQN_Navigation

This is my submission for the Udacity navigation project in the Deep Reinforcement Learning Nano Degree

djbyrne.github.io

Personal blog

dm-haiku

JAX-based neural network library

Halite-III

Season 3 of @twosigma's artificial intelligence programming challenge

jumanji

A diverse suite of scalable reinforcement learning environments in JAX

Neural-Network-From-Scratch-Part-2-TensorFlow

This notebook takes the the same dataset used in the previous notebook and it builds a classification network with tensor flow to diagnose cancer tumours.

optax

Optax is a gradient processing and optimization library for JAX.

ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

pytorch-lightning-bolts

PyTorch Lightning Bolts is a community contribution for AI/ML researchers.

RL_Workbench

Library containing Pytorch implementations of some of the main RL algorithms. This repo is used for my own learning purposes

templates

Document templates for open-source projects (README, CONTRIBUTING, GitHub templates)

Value-Iteration

Simple implementation of value iteration using the Frozen Lake Environment

xland-minigrid

JAX-accelerated meta-reinforcement learning environments inspired by XLand and MiniGrid 🏎️