connorwatts Goto Github PK

algo-trader

Trading bot with support for realtime trading, backtesting, custom strategies and much more.

bayesde

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

connorwatts.github.io

Personal research website

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

generalizedebm

gym

Fully differentiable RL environments, written in Ivy.

jraph-cut

Reinforcement Learning (RL) environments for a range of graph problems. Written in Jraph.

liquid-s4

Liquid Structural State-Space Models

mlops

MLOps examples

mtl-gan

Multi-Task Learning framework for Image Generative Adversarial Network

multi-task-genre-classification

Multi-task learning models built for song genre classification made as a group project for the Natural Language Processing course at UCL. Here we consider both BERT and CNN based architectures.

multi-task-learning-for-image-seg

A multi-task learning model built for image segmentation made as a group project for the Deep Learning course at UCL

part_stoch_inf_deep

Partially Stochastic but Infinitely Deep Neural Networks

port-rl

Reinforcement Learning based Portfolio Manager. Here the agent allocate portions of a fund to different financial products with the goal of maximising returns. Currently supports DDPG and PPO.

rubix

Deep Reinforcement Learning based Rubik’s Cube solver written in JAX, Haiku and RLax. Developed a custom environment supporting cubes of variable size. Currently developing support for DQN, QR-DQN and PPO.

stable-neural-sdes

time-gebm

Two Generalized Energy Based Models for time-series generation. Thesis for MSc Computational Statistics and Machine Learning program at UCL.

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.