EpistasisLab / tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

machine-learning python data-science automl automation scikit-learn hyperparameter-optimization model-selection parameter-tuning automated-machine-learning random-forest gradient-boosting feature-engineering xgboost

Good first issues

data filename could be provided when exporting

easy enhancement

#838 opened 2 months ago by sergiolucero

1

Improving the User Guide

easy enhancement

#729 opened 10 months ago by ran88dom99

2

Python Updated Apr 19, 2019

h2oai / h2o-3

4k

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBo…

Java Updated May 4, 2019

biolab / orange3

1.8k

🍊

📊

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

Good first issues

Legend in visualizations: display datetime as datetime

easy bug

#3746 opened 22 days ago by ajdapretnar

Replicability in Neural networks and Random forests

easy friday

#3724 opened 29 days ago by janezd

TSNE widget error handling catches too many errors

easy enhancement

#3548 opened 3 months ago by markotoplak

2

Python Updated Apr 30, 2019

szilard / benchm-ml

1.6k

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Pyt…

machine-learning data-science r python gradient-boosting-machine random-forest deep-learning xgboost h2o spark

R Updated May 4, 2019

susanli2016 / Machine-Learning-with-Python

1.3k

Python code for common Machine Learning Algorithms

linear-regression polynomial-regression logistic-regression decision-trees random-forest svm svr knn-classification naive-bayes-classifier kmeans-clustering hierarchical-clustering pca lda xgboost-algorithm

Jupyter Notebook Updated Apr 24, 2019

kingfengji / gcForest

878

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

machine-learning random-forest ensemble-learning deep-forest

Python Updated Dec 21, 2018

tirthajyoti / Machine-Learning-with-Python

740

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 artificial-intelligence data-science machine-learning k-nearest-neighbours naive-bayes

Jupyter Notebook Updated Apr 30, 2019

nickgillian / grt

624

gesture recognition toolkit

gesture-recognition grt machine-learning gesture-recognition-toolkit support-vector-machine random-forest kmeans dynamic-time-warping softmax linear-regression

C++ Updated May 3, 2019

ledell / useR-machine-learning-tutorial

377

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

machine-learning deep-learning random-forest gradient-boosting-machine tutorial data-science ensemble-learning r

Jupyter Notebook Updated Mar 5, 2018

Xtra-Computing / thundergbm

354

ThunderGBM: Fast GBDTs and Random Forests on GPUs

cuda gpu gbdt random-forest machine-learning

C++ Updated Apr 30, 2019

kk7nc / Text_Classification

326

Text Classification Algorithms: A Survey

text-classification nlp-machine-learning document-classification text-processing dimensionality-reduction rocchio-algorithm boosting-algorithms logistic-regression naive-bayes-classifier k-nearest-neighbours support-vector-machines decision-trees random-forest conditional-random-fields deep-learning deep-neural-network recurrent-neural-networks convolutional-neural-networks deep-belief-network hierarchical-attention-networks

Python Updated May 3, 2019

grf-labs / grf

265

Generalized Random Forests

causal-inference random-forest

Good first issues

Provide optional printout of progress

good first issue feature

#292 opened 8 months ago by tibshirani

Round out documentation on C++ interfaces.

documentation

#206 opened about 1 year ago by jtibshirani

Add better C++ / R developer documentation.

documentation

#202 opened about 1 year ago by jtibshirani

C++ Updated May 4, 2019

machinelearnjs / machinelearnjs

250

Machine Learning library for the web and Node.

machine-learning easy-to-use minimalistic web node statistical-learning random-forest svm feature-extraction data-preprocessing probabilistic-models structured-data

Good first issues

Refactor all dataSync with arraySync

good first issue

#229 opened 26 days ago by JasonShin

2

Remove stopword module usage

good first issue enhancement

#217 opened about 2 months ago by JasonShin

2

feature/elastic_net

good first issue feature

#208 opened 4 months ago by JasonShin

TypeScript Updated Apr 30, 2019

sanity / quickml

228

A fast and easy to use decision tree learner in java

java machine-learning decision-tree random-forest

Java Updated May 17, 2017

jmartinezheras / 2018-MachineLearning-Lectures-ESA

214

Machine Learning Lectures at the European Space Agency (ESA) in 2018

machinelearning machine-learning linear-regression support-vector-machines decision-trees random-forest neural-network deep-learning clustering pca anomaly-detection text-mining tf-idf topic-modeling lectures lecture-slides lecture-material lecture-videos

Jupyter Notebook Updated Mar 15, 2019

lagodiuk / decision-tree-js

202

Small JavaScript implementation of ID3 Decision tree

decision-tree random-forest machine-learning

JavaScript Updated Jan 10, 2018

mdabros / SharpLearning

195

Machine learning for C# .Net

machine-learning csharp decision-trees adaboost gradient-boosting-machine random-forest neural-nets deep-learning ensemble-learning cross-validation metrics dotnet machine learning opensource

C# Updated Mar 3, 2019

ShifuML / shifu

165

An end-to-end machine learning and data mining framework on Hadoop

shifu hadoop machine-learning pipeline bigdata neural-network gbdt random-forest end-to-end-machine-learning

Java Updated May 3, 2019

arogozhnikov / infiniteboost

162

InfiniteBoost: building infinite ensembles with gradient descent

machine-learning research gradient-boosting random-forest experiments

Jupyter Notebook Updated Sep 17, 2018

rickiepark / handson-ml

154

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

deep-learning machine-learning tensorflow scikit-learn python neural-network recurrent-neural-networks reinforcement-learning autoencoder deep-neural-networks ensemble-learning svm random-forest gradient-boosting xgboost

Forked from ageron/handson-ml Jupyter Notebook Updated Mar 12, 2019

ayush1997 / YouTube-Like-predictor

122

YouTube Like Count Predictions using Machine Learning

machine-learning predictive-analysis youtube-api random-forest visualization data-science data-analysis

Jupyter Notebook Updated Mar 12, 2019

MI2DataLab / randomForestExplainer

119

A set of tools to understand what is happening inside a Random Forest

random-forest cran

HTML Updated Nov 28, 2017

Edward1Chou / Textclassification

85

several methods for text classification

tensorflow tf-idf logistic-regression random-forest

Python Updated Dec 31, 2017

ahmedbesbes / How-to-score-0.8134-in-Titanic-Kaggle-Challenge

83

Solution of the Titanic Kaggle competition

kaggle kaggle-titanic tutorial machine-learning scikit-learn visualization python jupyter exploratory-data-analysis gridsearch random-forest data-visualization

Jupyter Notebook Updated Apr 7, 2018

anujdutt9 / Handwritten-Digit-Recognition-using-Deep-Learning

77

Handwritten Digit Recognition using Machine Learning and Deep Learning

mnist-classification convolutional-neural-networks python-3-5 handwritten-digit-recognition machine-learning deep-learning knn random-forest svm-model tensorflow keras theano classification

Python Updated Jan 17, 2018

NLP-kr / tensorflow-ml-nlp

75

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Jupyter Notebook Updated Apr 22, 2019

alessandrolulli / reforest

68

Random Forests in Apache Spark

random-forest spark spark-mllib random-rotation ensembles model-selection distributed

Scala Updated Mar 14, 2019

dlab-berkeley / Machine-Learning-in-R

67

6-hour tutorial on machine learning in R: preprocessing, cross-validation, lasso, decision trees, random forest, xgbo…

machine-learning dlab-berkeley tutorial random-forest superlearner decision-trees xgboost lasso

R Updated Apr 18, 2019

emlearn / emlearn

60

Machine Learning inference engine for Microcontrollers and Embedded devices

machine-learning random-forest classifier embedded-systems microcontroller scikit-learn c python inference neural-networks keras tensorflow

Python Updated Mar 10, 2019

zmjones / edarf

59

exploratory data analysis using random forests

random-forest r rstats exploratory-data-analysis machine-learning

R Updated Feb 6, 2018

random-forest

Repositories 1,132

Good first issues

Good first issues

Good first issues

Good first issues

Related topics