Stars
TableBank: A Benchmark Dataset for Table Detection and Recognition
Must-read papers on graph neural networks (GNN)
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
🤗 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.
A game theoretic approach to explain the output of any machine learning model.
Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
Automatic extraction of relevant features from time series:
An open source python library for automated feature engineering
Spark 编程指南简体中文版
Library for fast text representation and classification.
An opinionated list of awesome Python frameworks, libraries, software and resources.
Open R-NET (hy` առնետ 🐁) implementation and detailed analysis: https://git.io/vd8dx
A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …
Sentiment Analysis with LSTMs in Tensorflow
Solutions for CS224d: Deep Learning for Natural Language Processing
Character-Aware Neural Language Models. A keras-based implementation
Formerly known as code.google.com/p/1-billion-word-language-modeling-benchmark
Recurrent Neural Network Language Modeling (RNNLM) Toolkit
📖 Some language modeling tools for Keras
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax
Summaries and notes on Deep Learning research papers