Topic: regression

BinRoot / TensorFlow-Book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

tensorflow machine-learning regression convolutional-neural-networks logistic-regression book reinforcement-learning autoencoder linear-regression classification clustering

Jupyter Notebook Updated Feb 16, 2018

nfmcclure / tensorflow_cookbook

2.8k

Code for Tensorflow Machine Learning Cookbook

tensorflow tensorflow-cookbook linear-regression neural-network tensorflow-algorithms rnn cnn svm nlp packtpub machine-learning tensorboard classification regression kmeans-clustering genetic-algorithm ode

Jupyter Notebook Updated Feb 12, 2018

apachecn / MachineLearning

2.6k

Machine Learning in Action（机器学习实战）

fp-growth apriori python mahchine-leaning decisiontree knn naivebayes svm adaboost regtrees kmeans svd pca logistic regression recommendedsystem sklearn scikit-learn

HTML Updated Mar 7, 2018

mlpack / mlpack

2k

mlpack: a scalable C++ machine learning library --

machine-learning-library c-plus-plus deep-learning nearest-neighbor-search regression machine-learning

C++ Updated Mar 8, 2018

simple-statistics / simple-statistics

1.7k

simple statistics for node & browser javascript

statistics javascript regression math

JavaScript Updated Mar 8, 2018

mathnet / mathnet-numerics

1.4k

Math.NET Numerics

math numerics linear-algebra fsharp matrix random mathnet csharp interpolation regression statistics integration fft differentiation

C# Updated Feb 25, 2018

biolab / orange3

1.2k

🍊

📊

💡 Orange: Interactive data analysis https://orange.biolab.si

Python Updated Mar 8, 2018 7 issues need help

MorvanZhou / Tensorflow-Tutorial

1.2k

Tensorflow tutorial from basic to hard

tensorflow tensorflow-tutorials gan generative-adversarial-network rnn cnn classification regression autoencoder deep-q-network dqn machine-learning tutorial dropout neural-network

Python Updated Feb 13, 2018

markrogoyski / math-php

957

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probab…

math mathematics linear-algebra statistics matrix probability distributions regression numerical-analysis information-theory number-theory vector finance combinatorics algebra

PHP Updated Mar 8, 2018

mlr-org / mlr

898

mlr: Machine Learning in R

R Updated Mar 8, 2018

MorvanZhou / PyTorch-Tutorial

885

Build your neural network easy and fast

neural-network python pytorch-tutorial batch-normalization cnn rnn autoencoder pytorch regression classification batch tutorial dropout dqn reinforcement-learning gan generative-adversarial-network machine-learning

Jupyter Notebook Updated Mar 7, 2018

zeyiwen / thundersvm

639

ThunderSVM: A Fast SVM Library on GPUs and CPUs

classification regression one-class-learning cuda c-plus-plus gpu libsvm

C++ Updated Mar 8, 2018

ryanrhymes / owl

529

Owl is an OCaml numerical library: dense and sparse matrix, linear algebra, regressions, maths and stats functions.

OCaml Updated Mar 8, 2018

experiencor / basic-yolo-keras

481

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon…

convolutional-networks deep-learning yolo2 realtime regression

Jupyter Notebook Updated Mar 5, 2018 1 issue needs help

AxeldeRomblay / MLBox

453

MLBox is a powerful Automated Machine Learning python library.

Python Updated Dec 13, 2017

tirthajyoti / PythonMachineLearning

422

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

numpy statistics pandas matplotlib regression scikit-learn classification principal-component-analysis clustering decision-trees random-forest dimensionality-reduction neural-network deep-learning

Jupyter Notebook Updated Jan 30, 2018

100 / Cranium

408

🤖 A portable, header-only, artificial neural network library written in C99

neural-network machine-learning c embedded blas portable cblas c99 continuous-integration travis-ci classification regression header-only artificial-neural-networks feedforward-neural-network matrix vectorization efficient

C Updated Nov 11, 2017 5 issues need help

frombeijingwithlove / dlcv_for_beginners

405

《深度学习与计算机视觉》配套代码

computer-vision book beginners example deep-learning caffe mxnet pytorch u-net model-fusion gan siamese adversarial unet classification regression segmentation detection generative

Python Updated Mar 4, 2018

skcript / tensorflow-resources

310

Curated Tensorflow code resources to help you get started with Deep Learning.

tensorflow tensorflow-examples machine-learning artificial-neural-networks convolutional-networks regression classification deep-learning tensorflow-resources prediction ai

Python Updated Sep 25, 2017

fukuball / fuku-ml

203

Simple machine learning library / 簡單易用的機器學習套件

machine-learning svm support-vector-machines classification regression linear-regression logistic-regression perceptron decision-trees neural-network

Python Updated Jun 15, 2017

JuliaStats / GLM.jl

168

Generalized linear models in Julia

julia glm regression statistics

Julia Updated Mar 4, 2018

patrikeh / go-deep

161

Artificial Neural Network

neural-network deep-learning classification regression backpropagation golang

Go Updated Feb 21, 2018

ScottFreeLLC / AlphaPy

150

Automated Machine Learning [AutoML] for Python

Python Updated Jan 25, 2018

sajari / regression

147

Multivariable regression library in Go

go regression linear-regression

Go Updated Mar 8, 2018

transcendent-ai-labs / DynaML

139

Scala Library/REPL for Machine Learning Research

machine-learning scala regression repl committee-models classification gaussian-processes scala-library machine-learning-api machine-learning-algorithms kernel-methods tensorflow

Scala Updated Mar 7, 2018 2 issues need help

mbernico / snape

139

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and t…

dataset snape students regression classification python

Python Updated Mar 23, 2017

leeper / margins

134

An R Port of Stata's 'margins' Command

r marginal-effects stata-command cran regression glm partial-effects linear-models

R Updated Feb 26, 2018

yconst / YCML

112

A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)

objective-c supervised-learning algorithm-implementations machine-learning multi-objective neural-network regression ranking macos ios

Objective-C Updated Jan 22, 2017

khanhnamle1994 / statistical-learning

109

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

r statistical-learning data-science data-mining regression

R Updated Jan 2, 2018

Somnibyte / MLKit

98

A simple machine learning framework written in Swift 🤖

regression ridge-regression swift machine-learning machine-learning-algorithms artificial-intelligence polynomial-regression linear-regression machine-learning-library mlkit kmeans-clustering neural-network feedforward-neural-network backpropagation lasso-regression kmeans genetic-algorithm

Swift Updated Aug 29, 2017

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