PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

A repository of pretty cool datasets that I collected for network science and machine learning research.

LSTM and QRNN Language Model Toolkit for PyTorch

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

Graph Neural Network Library for PyTorch

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Code for reproducing Manifold Mixup results (ICML 2019)

Implementation and experiments of graph embedding algorithms.

List of common stop words in various languages.

Repository with all what is necessary for sentiment analysis and related areas

On the Variance of the Adaptive Learning Rate and Beyond

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Compression of NMT transformer model with tensor methods

A comprehensive collection of recent papers on graph deep learning

An Open-Source Package for Knowledge Embedding (KE)

Official Pytorch implementation of CutMix regularizer

Official implementation of Character Region Awareness for Text Detection (CRAFT)

A very simple framework for state-of-the-art Natural Language Processing (NLP)

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Wikipedia tools (for Humans): easily extract data from Wikipedia, Wikidata, and other MediaWikis

Efficiently computes derivatives of NumPy code.

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Most popular metrics used to evaluate object detection algorithms.

An open-source NLP research library, built on PyTorch.

Dataset and starting code for visual entailment dataset

Theano implementation of Sequence-to-Sequence Autoencoder

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

A simpler version of the self-attention layer from SAGAN, and some image classification results.