HungabungaHungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
Stars: ✭ 614 (+213.27%)
Auto SklearnAutomated Machine Learning with scikit-learn
Stars: ✭ 5,916 (+2918.37%)
Php Ml ExamplesExamples use case of PHP-ML library.
Stars: ✭ 526 (+168.37%)
H2o 3H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Stars: ✭ 5,656 (+2785.71%)
Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (+230.61%)
Kaggle Quora Question PairsKaggle:Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
Stars: ✭ 705 (+259.69%)
H1stThe AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.
Stars: ✭ 697 (+255.61%)
FeatexpFeature exploration for supervised learning
Stars: ✭ 688 (+251.02%)
Bayesian Neural NetworksPytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Stars: ✭ 900 (+359.18%)
Steppy ToolkitCurated set of transformers that make your work with steppy faster and more effective 🔭
Stars: ✭ 21 (-89.29%)
TribuoTribuo - A Java machine learning library
Stars: ✭ 882 (+350%)
Pytorch ToolbeltPyTorch extensions for fast R&D prototyping and Kaggle farming
Stars: ✭ 942 (+380.61%)
HeamyA set of useful tools for competitive data science.
Stars: ✭ 511 (+160.71%)
Feagen(deprecated) A fast and memory-efficient Python data engineering framework for machine learning.
Stars: ✭ 33 (-83.16%)
Chemometricstools.jlA collection of tools for chemometrics and machine learning written in Julia.
Stars: ✭ 39 (-80.1%)
Awesome Automlcollecting related resources of automated machine learning here
Stars: ✭ 39 (-80.1%)
YannlYet another neural network library
Stars: ✭ 37 (-81.12%)
AutokerasAutoML library for deep learning
Stars: ✭ 8,269 (+4118.88%)
Drake ExamplesExample workflows for the drake R package
Stars: ✭ 57 (-70.92%)
PycmMulti-class confusion matrix library in Python
Stars: ✭ 1,076 (+448.98%)
NeuralnetplaygroundA MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/
Stars: ✭ 60 (-69.39%)
Home Credit Default RiskDefault risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
Stars: ✭ 68 (-65.31%)
Allstate capstoneAllstate Kaggle Competition ML Capstone Project
Stars: ✭ 72 (-63.27%)
TgcontestTelegram Data Clustering contest solution by Mindful Squirrel
Stars: ✭ 74 (-62.24%)
SetlA simple Spark-powered ETL framework that just works 🍺
Stars: ✭ 79 (-59.69%)
DynamlScala Library/REPL for Machine Learning Research
Stars: ✭ 195 (-0.51%)
AtmAuto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Stars: ✭ 504 (+157.14%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-82.14%)
PytsetlinmachineImplements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing
Stars: ✭ 80 (-59.18%)
PhormaticsUsing A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
Stars: ✭ 79 (-59.69%)
XcessivA web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Stars: ✭ 1,255 (+540.31%)
DrakeAn R-focused pipeline toolkit for reproducibility and high-performance computing
Stars: ✭ 1,301 (+563.78%)
Machine Learning AlgorithmsA curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.
Stars: ✭ 92 (-53.06%)
Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
Stars: ✭ 1,297 (+561.73%)
AethosAutomated Data Science and Machine Learning library to optimize workflow.
Stars: ✭ 94 (-52.04%)
AutoalbumentAutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
Stars: ✭ 99 (-49.49%)
SegmentationTensorflow implementation : U-net and FCN with global convolution
Stars: ✭ 101 (-48.47%)
Lossfunctions.jlJulia package of loss functions for machine learning.
Stars: ✭ 89 (-54.59%)
D2l EnInteractive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Stars: ✭ 11,837 (+5939.29%)
GpstuffGPstuff - Gaussian process models for Bayesian analysis
Stars: ✭ 106 (-45.92%)
Kaggle HousepricesKaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4
Stars: ✭ 113 (-42.35%)
SteppyLightweight, Python library for fast and reproducible experimentation 🔬
Stars: ✭ 119 (-39.29%)
Ml Dl ScriptsThe repository provides usefull python scripts for ML and data analysis
Stars: ✭ 119 (-39.29%)
Chain.jlA Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
Stars: ✭ 118 (-39.8%)
Datasist A Python library for easy data analysis, visualization, exploration and modeling
Stars: ✭ 123 (-37.24%)
Tiny mlnumpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法
Stars: ✭ 129 (-34.18%)
ThundersvmThunderSVM: A Fast SVM Library on GPUs and CPUs
Stars: ✭ 1,282 (+554.08%)
PipelinexPipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
Stars: ✭ 127 (-35.2%)