ml
- Reinforcement Learning Papers October 8, 2025
Reading list of modern reinforcement learning papers.
- Monotonic Attention November 9, 2023
Write-up explaining my implementation of monotonic attention using a probabilistic graphical model.
- Retentive Networks and RWKV September 16, 2023
A short, hand-wavy explainer for the mathematical intuition behind faster attention mechanisms.
- Streaming Convolutions August 24, 2023
Working out the math for streaming convolutions.
- Diffusion verses Flow Matching July 19, 2023
An accessible introduction to diffusion and flow matching models. This post aims to be both complete and easy-to-follow as a reference for implementing diffusion models yourself.
- Fast Attention Implementations June 29, 2023
A reference collection of fast attention implementations.
- RWKV Language Model Math June 16, 2023
In-depth explanation of the math behind the RWKV model, with PyTorch implementations, plus a discussion of numerical stability.
- Robotics Pre-training Idea November 1, 2022
A collection of my ideas relating to robotics pre-training.
- HMMs and CRFs April 7, 2020
A comparison of Hidden Markov Models and Conditional Random Fields, two kinds of probabilistic graphical models.
- Coding the Viterbi Algorithm in Numpy March 15, 2020
A demo of how to code the Viterbi algorithm in Numpy.
- Using Gensim Word2Vec Embeddings in Keras August 2, 2016
A short post and script regarding using Gensim Word2Vec embeddings in Keras, with example code.
- Restricted Boltzmann Machines July 18, 2016
Building on the Recurrent RBM for sequence modeling. This post relates to what I am doing for my Master's thesis.
- Question Answering using Keras April 27, 2016
An in-depth introduction to using Keras for language modeling; word embedding, recurrent and convolutional neural networks, attentional RNNs, and similarity metrics for vector embeddings.
- A Neural Network in 28 Lines of Theano February 23, 2016
A quick introduction to using Theano for deep learning, from the bare-bones to a full neural network.