Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
Stars: ✭ 1,559 (+278.4%)
Igela delightful machine learning tool that allows you to train, test, and use models without writing code
Stars: ✭ 2,956 (+617.48%)
Automl alexState-of-the art Automated Machine Learning python library for Tabular Data
Stars: ✭ 132 (-67.96%)
Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (+133.25%)
MlboxMLBox is a powerful Automated Machine Learning python library.
Stars: ✭ 1,199 (+191.02%)
NniAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Stars: ✭ 10,698 (+2496.6%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-91.5%)
LaleLibrary for Semi-Automated Data Science
Stars: ✭ 198 (-51.94%)
FeaturetoolsAn open source python library for automated feature engineering
Stars: ✭ 5,891 (+1329.85%)
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
Stars: ✭ 3,920 (+851.46%)
TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Stars: ✭ 8,378 (+1933.5%)
LightautomlLAMA - automatic model creation framework
Stars: ✭ 196 (-52.43%)
pycobrapython library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
Stars: ✭ 111 (-73.06%)
ModalA modular active learning framework for Python
Stars: ✭ 1,148 (+178.64%)
Php MlPHP-ML - Machine Learning library for PHP
Stars: ✭ 7,900 (+1817.48%)
Sk DistDistributed scikit-learn meta-estimators in PySpark
Stars: ✭ 260 (-36.89%)
AutodlAutomated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
Stars: ✭ 854 (+107.28%)
ML-For-Beginners12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Stars: ✭ 40,023 (+9614.32%)
TransmogrifaiTransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Stars: ✭ 2,084 (+405.83%)
Auto vimlAutomatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Stars: ✭ 216 (-47.57%)
Auto SklearnAutomated Machine Learning with scikit-learn
Stars: ✭ 5,916 (+1335.92%)
PbaEfficient Learning of Augmentation Policy Schedules
Stars: ✭ 461 (+11.89%)
Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (+57.28%)
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (-86.41%)
XcessivA web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Stars: ✭ 1,255 (+204.61%)
NimbusmlPython machine learning package providing simple interoperability between ML.NET and scikit-learn components.
Stars: ✭ 265 (-35.68%)
M2cgenTransform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Stars: ✭ 1,962 (+376.21%)
AuptimizerAn automatic ML model optimization tool.
Stars: ✭ 166 (-59.71%)
HyperactiveA hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
Stars: ✭ 182 (-55.83%)
FlamlA fast and lightweight AutoML library.
Stars: ✭ 205 (-50.24%)
AutovizAutomatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Stars: ✭ 310 (-24.76%)
Data Science Ipython NotebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Stars: ✭ 22,048 (+5251.46%)
Model Describermodel-describer : Making machine learning interpretable to humans
Stars: ✭ 22 (-94.66%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (-52.91%)
HungabungaHungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
Stars: ✭ 614 (+49.03%)
Ml Dl ScriptsThe repository provides usefull python scripts for ML and data analysis
Stars: ✭ 119 (-71.12%)
RobustPCANo description or website provided.
Stars: ✭ 15 (-96.36%)
SktimeA unified framework for machine learning with time series
Stars: ✭ 4,741 (+1050.73%)
greycatGreyCat - Data Analytics, Temporal data, What-if, Live machine learning
Stars: ✭ 104 (-74.76%)
densratio pyA Python Package for Density Ratio Estimation
Stars: ✭ 112 (-72.82%)
EvolutionaryForestAn open source python library for automated feature engineering based on Genetic Programming
Stars: ✭ 56 (-86.41%)
AutoPrognosisCodebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
Stars: ✭ 47 (-88.59%)
simon-frontend💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻
Stars: ✭ 114 (-72.33%)
kaggledatasetsCollection of Kaggle Datasets ready to use for Everyone (Looking for contributors)
Stars: ✭ 44 (-89.32%)
data-science-learning📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.
Stars: ✭ 32 (-92.23%)
scikit-learn-intelexIntel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Stars: ✭ 887 (+115.29%)
cliPolyaxon Core Client & CLI to streamline MLOps
Stars: ✭ 18 (-95.63%)
AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
Stars: ✭ 51 (-87.62%)
PracticalMachineLearningA collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.
Stars: ✭ 60 (-85.44%)
NimbusML-SamplesSamples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
Stars: ✭ 31 (-92.48%)
kaggleKaggle solutions
Stars: ✭ 17 (-95.87%)
autogbt-altAn experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Stars: ✭ 76 (-81.55%)
spark-transformersSpark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.
Stars: ✭ 39 (-90.53%)
Auto-SurpriseAn AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
Stars: ✭ 19 (-95.39%)
allie🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).
Stars: ✭ 93 (-77.43%)