TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

14 Mar 2016 • tensorflow/tensorflow •

TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms.

DIMENSIONALITY REDUCTION

models

EMNLP 2018 • tensorflow/models •

Models and examples built with TensorFlow

CCG SUPERTAGGING DEPENDENCY PARSING MACHINE TRANSLATION MULTI-TASK LEARNING NAMED ENTITY RECOGNITION UNSUPERVISED REPRESENTATION LEARNING

Scikit-learn: Machine Learning in Python

2 Jan 2012 • scikit-learn/scikit-learn

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.

DIMENSIONALITY REDUCTION MODEL SELECTION

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.

DIMENSIONALITY REDUCTION

Adapting the Tesseract Open Source OCR Engine for Multilingual OCR

ACM 2009 • tesseract-ocr/tesseract

We describe efforts to adapt the Tesseract open source OCR engine for multiple scripts and languages.

OPTICAL CHARACTER RECOGNITION

Caffe: Convolutional Architecture for Fast Feature Embedding

20 Jun 2014 • BVLC/caffe

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.

DIMENSIONALITY REDUCTION

transformers

ICLR 2020 • huggingface/transformers •

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2. 0 and PyTorch.

LANGUAGE MODELLING LINGUISTIC ACCEPTABILITY NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC TEXTUAL SIMILARITY SENTIMENT ANALYSIS

detectron

ECCV 2018 • facebookresearch/detectron •

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

OBJECT DETECTION VIDEO CLASSIFICATION