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a2c

An implementation of the A2C algorithm in PyTorch.

active-inference

Application of active inference to reinforcement learning.

blackjack

An implementation of various solutions for a simplified version of blackjack, as described in 'Reinforcement Learning: An Introduction (Richard S. Sutton, Andrew G. Barto)'

cam-notes

My Cambridge Lecture Notes

cnn

An implementation of a convolutional neural network.

diffusion

An implementation of a Diffusion model in PyTorch.

gan

An implementation of the paper 'Generative Adversarial Nets' in PyTorch.

gcn

Implementation of a Graph Convolutional Network in PyTorch from the paper 'Semi-Supervised Classification with Graph Convolutional Networks'

gpt

An implementation of the GPT model in PyTorch.

htm

Hierarchical Temporal Memory (HTM) applied to next token prediction.

k-armed_bandit

Implementation of various solutions for the K-armed bandit problem, as described in 'Reinforcement Learning: An Introduction (Richard S. Sutton, Andrew G. Barto)'

lottery_ticket_hypothesis

An implementation of the Lottery Ticket Hypothesis from the paper 'The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks' (ICLR 2019)

neural-odes

An implementation of Neural ODEs in PyTorch.

r-gould.github.io

sslearn

A collection of self-supervised learning techniques based in PyTorch.

tensor-grad

An auto-differentiation engine for arbitrary tensors written from scratch in C++.

transformer

An implementation of a Transformer in PyTorch, with an application to English-German translation

vae

Implementation of a Convolutional Variational Auto-Encoder in PyTorch as described by the paper 'Auto-Encoding Variational Bayes'