Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

✭ 42

jupyter-notebook machine-learning data-science artificial-intelligence reinforcement-learning neural-networks book classification machine-learning-algorithms sentiment-analysis notebook regression

Chemometricstools.jl

A collection of tools for chemometrics and machine learning written in Julia.

✭ 39

julia machine-learning classification regression

Yannl

Yet another neural network library

✭ 37

neural-network classification matrix portable regression artificial-neural-networks blas

Mlj.jl

A Julia machine learning framework

✭ 982

julia jupyter-notebook machine-learning data-science statistics classification pipeline clustering regression pipelines ensemble-learning predictive-modeling stacking

The Deep Learning With Keras Workshop

An Interactive Approach to Understanding Deep Learning with Keras

✭ 34

jupyter-notebook machine-learning tensorflow keras classification scikit-learn regression artificial-neural-networks logistic-regression decision-trees hyperparameter-tuning

Deep learning projects

✭ 28

python jupyter-notebook deep-learning machine-learning database keras image-processing convolutional-neural-networks neural-networks data-visualization dataset gan scikit-learn image-classification matplotlib regression image-recognition projects

Ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

✭ 32,316

python javascript CSS Jupyter Notebook HTML shell nlp deeplearning lstm scikit-learn rnn regression sklearn svm dnn pca kmeans svd logistic adaboost apriori fp-growth naivebayes mahchine-leaning recommendedsystem

Tribuo

Tribuo - A Java machine learning library

✭ 882

java deep-learning machine-learning nlp classification ml clustering regression

Rlur

Shiny dashboard for Land Use Regression modelling

✭ 8

r gis geospatial regression

Owl

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

✭ 919

ocaml machine-learning neural-network statistics optimization matrix scientific-computing regression linear-algebra plotting automatic-differentiation mcmc topic-modeling

Breast Cancer Prediction

Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset

✭ 19

python jupyter-notebook regression sklearn

Tidyreg

🎓 Tidy regression tools for academics

✭ 19

r statistics regression

Bayesian Neural Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

✭ 900

jupyter-notebook deep-learning pytorch classification regression bayesian-inference reproducible-research mcmc variational-inference

Tensorflow cookbook

Code for Tensorflow Machine Learning Cookbook

✭ 5,984

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

Machine Learning Octave

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

✭ 637

matlab machine-learning neural-network neural-networks clustering regression prediction linear-regression octave

Smile

Statistical Machine Intelligence & Learning Engine

Alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

✭ 564

python deep-learning machine-learning tensorflow data-science keras cryptocurrency classification pandas trading scikit-learn portfolio regression trading-strategies stocks time-series-analysis trading-platform sports

Machine Learning In Action

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

✭ 533

python regression svm

Moderndive book

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

✭ 527

r html data-science data-visualization rstats regression ggplot2 rstudio tidyverse data-wrangling dplyr

Php Ml Examples

Examples use case of PHP-ML library.

✭ 526

machine-learning classification regression

Cranium

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

✭ 501

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

Tensorflow Book

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

✭ 4,448

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

Fsa Net

[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

✭ 469

python tensorflow keras regression face cvpr

Mlr3

mlr3: Machine Learning in R - next generation

✭ 463

r machine-learning data-science classification regression

Tensorflow Tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

✭ 4,122

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

Lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

✭ 401

python machine-learning classification automl regression

Linearmodels

Add linear models including instrumental variable and panel data models that are missing from statsmodels.

✭ 406

python regression panel

Machine Learning

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

✭ 5,601

python machine-learning regression svm logistic adaboost smo knn decision-tree navie-bayes-algorithm adaboost-algorithm

Mlpack

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

✭ 3,859

C++CMake python go shell julia deep-learning machine-learning regression machine-learning-library nearest-neighbor-search scientific-computing hacktoberfest

Glm.jl

Generalized linear models in Julia

✭ 358

julia statistics regression

Statistical rethinking with brms ggplot2 and the tidyverse

The bookdown version lives here: https://bookdown.org/content/3890

✭ 350

html regression bayesian-inference tidyverse

Srmd

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

✭ 333

matlab deep-learning cnn super-resolution regression

Tensorflow Resources

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

✭ 330

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

Go Deep

Artificial Neural Network

✭ 303

go golang deep-learning neural-network classification regression backpropagation

Regression

Multivariable regression library in Go

✭ 300

go regression linear-regression

All Algorithms implemented in R

✭ 294

r machine-learning algorithms learning education classification clustering data-mining regression practice

Fuku Ml

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

✭ 280

python machine-learning neural-network classification regression svm logistic-regression linear-regression decision-trees

Alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Pycaret

An open-source, low-code machine learning library in Python

✭ 4,594

python Jupyter Notebook machine-learning data-science gpu ml nlp time-series clustering regression classification anomaly-detection pycaret citizen-data-scientists

PartialLeastSquaresRegressor.jl

Implementation of a Partial Least Squares Regressor

✭ 31

julia machine-learning machine-learning-algorithms julia-language regression multivariate-analysis partial-least-squares-regression pls regressor regression-algorithms regression-analysis leastsquares squares-regressor pls1 nipals pls-mlj-model linear-algorithm kernel-pls2

netflix-style-recommender

A simple movie recommendation engine

✭ 65

python machine-learning numpy linear-regression regression recommendation-engine recommender-system recommendation

action

📦📊 GitHub Action to reports on the size of your npm package

✭ 36

javascript github npm distribution package actions regression report size pull-requests pkg-size github-actions

Minimalistic-Multiple-Layer-Neural-Network-from-Scratch-in-Python

Minimalistic Multiple Layer Neural Network from Scratch in Python.

✭ 24

python deep-neural-networks deep-learning neural-network regression neural-networks deep-learning-algorithms classification perceptron gradient-descent backpropagation-learning-algorithm backpropagation neural-network-example depplearning

Kickstarter-Anticipator

The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorithm. In this , LOGISTIC REGRESSION is used to determine the success of the project by splitting the data into training and testing models and predicting a successful one.

✭ 13

Jupyter Notebook python regression logistic-regression regression-algorithms regression-analysis

Synthetic-data-gen

Various methods for generating synthetic data for data science and ML

✭ 57

Jupyter Notebook python data-science data machine-learning time-series regression classification symbolic-computation

GARD

Generalized Analog Regression Downscaling (GARD) code

✭ 21

fortran python Makefile analog climate regression logistic-regression downscaling

Countries-GDP-prediction

Developed a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.

✭ 15

Jupyter Notebook python regression estimation regression-models

battery-rul-estimation

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

✭ 25

Jupyter Notebook python deep-neural-networks deep-learning time-series regression lstm deeplearning bms battery-management-system rul remaining-useful-life lithium-ion deep-lstms

pywedge

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

✭ 49

Jupyter Notebook python charts regression interactive-charts classification baseline preprocessing dataframe baseline-model mlflow tracking-hyperparameters

interactive-simple-linear-regression

A PureScript, browser-based implementation of simple linear regression.

data-science-notes

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

wymlp

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

✭ 36

C++c Makefile fast iot library real-time embedded deep-neural-networks cpu portable regression artificial-intelligence tiny classification on-the-fly minimalistic

Python-Machine-Learning

Python Machine Learning Algorithms

✭ 80

python machine-learning algorithm neural-network scikit-learn regression classification python-machine-learning support-vector-machines

projection-pursuit

An implementation of multivariate projection pursuit regression and univariate classification

✭ 24

python coveralls machine-learning travis-ci scikit-learn sphinx regression classification projection-pursuit friedman

stg

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

✭ 47

python r regression feature-selection neural-networks classification cox-model

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