TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

14 Mar 2016tensorflow/tensorflow

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

DIMENSIONALITY REDUCTION

models

25 Mar 2019tensorflow/models

Models and examples built with TensorFlow

OBJECT RECOGNITION VIDEO OBJECT DETECTION

Scikit-learn: Machine Learning in Python

2 Jan 2012scikit-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

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

Caffe: Convolutional Architecture for Fast Feature Embedding

20 Jun 2014BVLC/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

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

FastText.zip: Compressing text classification models

12 Dec 2016facebookresearch/fastText

We consider the problem of producing compact architectures for text classification, such that the full model fits in a limited amount of memory.

QUANTIZATION TEXT CLASSIFICATION WORD EMBEDDINGS

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.

WORD EMBEDDINGS

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

3 Dec 2015apache/incubator-mxnet

This paper describes both the API design and the system implementation of MXNet, and explains how embedding of both symbolic expression and tensor operation is handled in a unified fashion.

DIMENSIONALITY REDUCTION