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.
models
CVPR 2019
• tensorflow/models
• 
Models and examples built with TensorFlow
SEMANTIC SEGMENTATION VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION
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.
Adapting the Tesseract Open Source OCR Engine for Multilingual OCR
We describe efforts to adapt the Tesseract open source OCR engine for multiple scripts and languages.
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
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
This paper explores a simple and efficient baseline for text classification.
SOTA for Sentiment Analysis on Sogou News