4m24

aws-lambda-code-pipeline-release-function

Lambda function designed to be called in a CodePipeline (or other as appropriate) to update the function code of another Lambda function and update versions and aliases.

aws-lambda-hello-world

Simple Python project which forms the basis of a an AWS Hello-World lambda function.

d3rlpy

An offline deep reinforcement learning library

dbt_kaggle_european_soccer

Simple collection of dbt models created to analyse the Kaggle European Soccer data set.

deeplearning.ai-tensorflow-dev-cert

Code for the DeepLearning.AI Tensorflow Developer Certification course

django-kaggle-european-soccer

Simple Django project loosely based on the Kaggle European Soccer dataset.

dlaicourse

Notebooks for learning deep learning

dogo-rl

Repository for my MPhil thesis: Domain Generalisation for Offline Model-Based Reinforcement Learning

dogo_rllib

Ray RLib Scripts

flask-simple-api

Simple API written in Flask to test various AWS features.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

heroku-terraform

Repo for maintaining my heroku apps via Terraform

kaggle-european-soccer

Simple library created to migrate data from the Kaggle European Soccer data set SQLite database to a PostgreSQL database.

kedro-spaceflights-example

kedro Spaceflights tutorial example.

l48-mlphysical

Streamlit app for L48 Machine Learning and the Physical World

mlmi13

Code for the Cambridge MLMI MPhil Coursework

mopo

Code for MOPO: Model-based Offline Policy Optimization

rabbitmq-playground

Playing around with RabbitMQ

ray-play

Playing around with the ray library.

realpython-django-example

Real Python Django example app

rex_code_release

rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

rlkit

Collection of reinforcement learning algorithms

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

streamlit-example

Basic, starter for 10, Streamlit app to practice use and CI/CD deployment.

streamlit-neural-network-intuition

Capture some intuitions about neural networks - based on notes from Andrew Ng's Machine Learning Coursera course.

supply-chain-simulation-environment

talks

Talks from Neil Lawrence