ajoeajoe

algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

ATM

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

AutoML_Survey

automlbenchmark

awesome-AutoML-and-Lightweight-Models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

Ax

Adaptive Experimentation Platform

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

categorical-encoding

A library of sklearn compatible categorical variable encoders

dask

Parallel computing with task scheduling

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

featuretools

An open source python framework for automated feature engineering

google-research

Google AI Research

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

hyperopt-sklearn

Hyper-parameter optimization for sklearn

interpret

Fit interpretable models. Explain blackbox machine learning.

interpretable-ml-book

Book about interpretable machine learning

kepler.gl

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

kubeflow

Machine Learning Toolkit for Kubernetes

lime

Lime: Explaining the predictions of any machine learning classifier

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

mlflow

Open source platform for the machine learning lifecycle

mlr

mlr: Machine Learning in R

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pycharm-guide

PyCharm 中文指南：安装 | 破解 | 效率 | 技巧

shap

A unified approach to explain the output of any machine learning model.

sigopt-examples

Optimization Examples with SigOpt

tpot

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

TransmogrifAI

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand tuning

tsfresh

Automatic extraction of relevant features from time series: