jayparks

transformer

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

tf-seq2seq

Sequence to sequence learning using TensorFlow.

quasi-rnn

A PyTorch Implementation of "Quasi-Recurrent Neural Networks"

EMproteinSeq

Running EM algorithm to group protein sequences

cle

cpython

The Python programming language

deep_architecture_genealogy

Deep Learning Architecture Genealogy Project

deepspark

Deeplearning framework running on Spark

deepspark_java

Java based Convolutional Neural Network package running on Apache Spark framework

dl4mt-material

dl4mt-multi

fast-wavenet

Speedy Wavenet generation using dynamic programming :zap:

fastText

Library for fast text representation and classification.

Hash-Embeddings

PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.

jayparks.github.io

MemArchs-in-RNNLM

attempt at implementing "Memory Architectures in Recurrent Neural Network Language Models" as a part of the ICLR 2018 reproducibility challenge

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

pytorch-ntm

Neural Turing Machines (NTM) - PyTorch Implementation

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

resume-template

:page_facing_up::briefcase::tophat: A simple Jekyll + GitHub Pages powered resume template.

StarSpace

Learning embeddings for classification, retrieval and ranking.

transformers

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

vision

Datasets, Transforms and Models specific to Computer Vision