Below is a list of my major projects. Most of them are open-sourced. Please feel free to share your comments or contribute directly on GitHub.
The code for every project here was written from scratch, by hand, without AI assistance.
Independent implementation of RetNet, the Transformer successor with parallel training and low-cost inference, including xPos relative positional encoding.
DiscoverReproduction of the Bayesian Learning Rule for BNNs (BayesBiNN vs. STE) with an end-to-end trainer. ML Reproducibility Challenge 2020, published in ReScience C.
DiscoverFrom-scratch C++ recreation of Byte Pair Encoding and byte-level BPE, the tokenizers behind modern language models.
Discover
Google's official PageRank algorithm implementation for distributed machines.
Discover
An open-source general implementation of some common generative models (GANs and VAEs).
Discover
An open-source implementation of MAML algorithm for supervised learning in Pytorch.
Discover
An AI bot for the game Tic-Tac-Toe using modified Monte Carlo Tree Search.
Discover
End-to-End retrieval system to perform toy-scale evaluation of Vector-space models.
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Implementation and analysis of Matrix Game, a toy problem for analyzing Multi-Agent RL.
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