Top Papers
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms.
Scikit-learn: Machine Learning in Python
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.
Automatic Differentiation in PyTorch
NIPS 2017 2017
• pytorch/pytorch
• 
In this article, we describe an automatic differentiation module of PyTorch — a library designed to enable rapid research on machine learning models.
Caffe: Convolutional Architecture for Fast Feature Embedding
The framework is a BSD-licensed C++ library with Python and MATLAB bindings for training and deploying general-purpose convolutional neural networks and other deep models efficiently on commodity architectures.
detectron
ECCV 2018 • facebookresearch/detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
FastText.zip: Compressing text classification models
We consider the problem of producing compact architectures for text classification, such that the full model fits in a limited amount of memory.
Enriching Word Vectors with Subword Information
TACL 2017 • facebookresearch/fastText
A vector representation is associated to each character $n$-gram; words being represented as the sum of these representations.
Bag of Tricks for Efficient Text Classification
EACL 2017 • facebookresearch/fastText
This paper explores a simple and efficient baseline for text classification.
SOTA for Sentiment Analysis on Sogou News