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.
PyTorch: An Imperative Style, High-Performance Deep Learning Library
NeurIPS 2019
• pytorch/pytorch
• 
Deep learning frameworks have often focused on either usability or speed, but not both.
PyTorch: An Imperative Style, High-Performance Deep Learning Library
NeurIPS 2019
• pytorch/pytorch
•
Deep learning frameworks have often focused on either usability or speed, but not both.
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.
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2. 0.
detectron
ECCV 2018
• facebookresearch/detectron
•
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.