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Dimensionality Reduction

142 papers with code · Computer Code

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

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Greatest papers with code

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 REGRESSION

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 REGRESSION

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 REGRESSION

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 REGRESSION

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 REGRESSION

XGBoost: A Scalable Tree Boosting System

9 Mar 2016dmlc/xgboost

In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-of-the-art results on many machine learning challenges.

DIMENSIONALITY REDUCTION REGRESSION

CNTK: Microsoft's Open-Source Deep-Learning Toolkit

ACM SIGKDD 2016 Microsoft/CNTK

This tutorial will introduce the Computational Network Toolkit, or CNTK, Microsoft's cutting-edge open-source deep-learning toolkit for Windows and Linux.

DIMENSIONALITY REDUCTION REGRESSION

Theano: A Python framework for fast computation of mathematical expressions

9 May 2016Theano/Theano

Since its introduction, it has been one of the most used CPU and GPU mathematical compilers - especially in the machine learning community - and has shown steady performance improvements.

DIMENSIONALITY REDUCTION REGRESSION

Adversarial Autoencoders

18 Nov 2015eriklindernoren/Keras-GAN

In this paper, we propose the "adversarial autoencoder" (AAE), which is a probabilistic autoencoder that uses the recently proposed generative adversarial networks (GAN) to perform variational inference by matching the aggregated posterior of the hidden code vector of the autoencoder with an arbitrary prior distribution.

DIMENSIONALITY REDUCTION UNSUPERVISED IMAGE CLASSIFICATION UNSUPERVISED MNIST

Chainer: a Next-Generation Open Source Framework for Deep Learning

NIPS 2015 chainer/chainer

Software frameworks for neural networks play key roles in the development and application of deep learning methods.

DIMENSIONALITY REDUCTION REGRESSION