Dimensionality Reduction

381 papers with code • 0 benchmarks • 11 datasets

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

( Image credit: openTSNE )

Greatest papers with code

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

tensorflow/tensorflow 14 Mar 2016

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

Dimensionality Reduction General Classification

Unifying Deep Local and Global Features for Image Search

tensorflow/models ECCV 2020

Image retrieval is the problem of searching an image database for items that are similar to a query image.

Dimensionality Reduction Image Retrieval

Automatic Differentiation in PyTorch

pytorch/pytorch NIPS 2017 2017

In this article, we describe an automatic differentiation module of PyTorch — a library designed to enable rapid research on machine learning models.

Dimensionality Reduction General Classification

Scikit-learn: Machine Learning in Python

scikit-learn/scikit-learn 2 Jan 2012

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 General Classification +1

Caffe: Convolutional Architecture for Fast Feature Embedding

BVLC/caffe 20 Jun 2014

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 General Classification

XGBoost: A Scalable Tree Boosting System

dmlc/xgboost 9 Mar 2016

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 General Classification +1

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

apache/incubator-mxnet 3 Dec 2015

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 General Classification

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

Microsoft/CNTK ACM SIGKDD 2016

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 General Classification

Rethinking Spatial Dimensions of Vision Transformers

rwightman/pytorch-image-models 30 Mar 2021

We empirically show that such a spatial dimension reduction is beneficial to a transformer architecture as well, and propose a novel Pooling-based Vision Transformer (PiT) upon the original ViT model.

Dimensionality Reduction Image Classification +1