Jekyll theme for academics

News, full-text, and article metadata extraction in Python 3. Advanced docs:

Codes, datasets, and explanations for some basic natural language tasks and models.

Image-to-image translation with conditional adversarial nets

PyTorch implementation of OrganSegRSTN - CVPR 2018

Official Implementation of the Paper "Capsules for Object Segmentation".

starter from "How to Train a GAN?" at NIPS2016

PRML algorithms implemented in Python

The RWTH extensible training framework for universal recurrent neural networks

Python Implementation of Reinforcement Learning: An Introduction

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Code for stock movement prediction from tweets and historical stock prices.

A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

Latex code for making neural networks diagrams

Multivariate imputation and matrix completion algorithms implemented in Python

Data imputation for urban transportation system

A very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python

Pytorch transforms based on numpy arrays instead of PIL Image

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

Deep Learning models to detect hate speech in tweets

Python implementations of kNN imputation