Jaehong Park

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

Sequence to sequence learning using TensorFlow.

A PyTorch Implementation of "Quasi-Recurrent Neural Networks"

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

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

The Python programming language

Datasets, Transforms and Models specific to Computer Vision

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

No description provided.

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

Learning embeddings for classification, retrieval and ranking.

Library for fast text representation and classification.

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

Speedy Wavenet generation using dynamic programming :zap:

No description provided.

Deep Learning Architecture Genealogy Project

Neural Turing Machines (NTM) - PyTorch Implementation

PyTorch Tutorial for Deep Learning Researchers

Java based Convolutional Neural Network package running on Apache Spark framework

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

Running EM algorithm to group protein sequences

Deeplearning framework running on Spark

No description provided.

No description provided.