Shawn Tan

neural-turing-machines. Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

scattermoe. Triton-based implementation of Sparse Mixture of Experts.

python-crf. Python implementation of linear-chain conditional random fields.

stickbreaking-attention. Stick-breaking attention

theano_toolkit. Collection of useful, re-used routines.

theano-ctc. CTC implementation in Theano.

icentia-ecg. Working on Icentia ECG data.

minicraft-android. Android port of minicraft

rnn-experiment. Experiments with Recurrent Neural Nets

SUT. Repository for Sparse Universal Transformers

chicken-rice-nn. Miscellaneous code for doing NLP with Theano

neural-transducers. An attempt at implementing ideas in "Learning to Transduce with Unbounded Memory" (http://arxiv.org/abs/1506.02516)

python-dbn. Learning about RBMs and DBNs

theano-kaldi. Bunch of scripts for working with Kaldi.

variational-autoencoders. Variational Autoencoders

neural-qa. Attempt at using neural networks for the bAbI project (https://research.facebook.com/researchers/1543934539189348)

quora-codesprint-2013. Code used for Quora CodeSprint

stack-binary-recursive-nn. Parallelised implementation of Recursive Neural Networks for binary trees in PyTorch

march-madness-2014. Python

viz-speech. Tools for visualisation of neural networks for speech recognition.

lspi-tetris-agent. Tetris Agent coded using the LSPI reinforcement learning algorithm

stick-breaking-vae. Infinite MIxture Models with VAEs

lost-in-the-middle. Code and data for "Lost in the Middle: How Language Models Use Long Contexts"

rtdp. Code for the paper titled "Recursive Top-Down Production for Sentence Generation with Latent Trees"

awd-lstm-lm. LSTM and QRNN Language Model Toolkit for PyTorch

latex. LaTeX classes, snippets...

symboljs. Symbol.js is a library that aims to let you define mathematical expressions symbolically, and evaluating them later by substituting the parameters with values.

schoolwork. Python

triton-radix-sort. Python

mm-crawl. Markov Models for Focused Web Crawling

theano-gmm. Testing out GMM expectation maximisation

ift6266. IFT 6266 Deep Learning class project.

higgs-boson. Kaggle Higgs-boson

kernel-hyperdrive. A bunch of kernels that might make stuff slower 😉

word2vec-string-alignment. word2vec

transformers. 🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

billion-word-imputation. Billion Word Imputation Kaggle Challenge.

vllm. A high-throughput and memory-efficient inference and serving engine for LLMs

gibbs_lda. Collapsed Gibbs sampling for Latent Dirichlet Allocation