elliothha Goto Github PK

alphazero-chess-engine

See current development over at the MANTIS repo. Link in README.md

causal-inference-tarnet

PyTorch implementation of a TARNet / Counterfactual Regression model for causal inference on the IHDP dataset

cp-algorithms

Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)

elliothha

Welcome to my GitHub:)

elliothha.github.io

Personal website

fft-processor

generative-adversarial-networks

PyTorch Deep Convolutional GAN (DCGAN) for inference. Plan to add more GANs as they come up

generative-modeling-zoo

[WIP] PyTorch implementations of the various models/architectures in the "Generative Modeling Zoo" for educational purposes

mcmc-sampling-algos

PyTorch implementations of various Markov Chain Monte Carlo algorithms for sampling from probability distributions

noise-conditional-score-networks

normalizing-flows

PyTorch implementations of normalizing flow models. Current work in progress

pacman-ddqn

PyTorch Dueling Deep Q-Network (DDQN) to play Atari's "Ms. Pacman"

paper-notes

Notes on all of the research papers I've read

restricted-boltzmann-machines

PyTorch implementation of a Bernoulli-Bernoulli RBM on MNIST

spotify-color-sorter

A locally run application to sort personal Spotify playlists by song album cover colors using the PIL Image module. Does not track any data.

store-sale-forecasting

This study is an investigation into the effectiveness of Long Short-Term Memory (LSTM) and Transformer models in forecasting retail sales time series.

transformers

PyTorch "Attention Is All You Need" Transformer implementation for generative NLP tasks

variational-autoencoders

PyTorch implementation of a standard VAE on MNIST