All Categories → Machine Learning → automl

Top 154 automl open source projects

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Haq

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

✭ 247

python automl quantization

Tune Sklearn

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

✭ 241

python scikit-learn automl bayesian-optimization hyperparameter-tuning

Pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

✭ 2,672

python shell deep-learning computer-vision mobile-app automl model-compression

Igel

a delightful machine learning tool that allows you to train, test, and use models without writing code

Nascell Automl

✭ 236

python machine-learning neural-network automl

Adatune

Gradient based Hyperparameter Tuning library in PyTorch

✭ 226

python deep-learning machine-learning pytorch neural-networks automl hyperparameter-tuning

Automlpipeline.jl

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

✭ 223

julia machine-learning data-science classification pipeline data-mining automl ensemble-learning stacking

Auto viml

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

✭ 216

python python3 machine-learning scikit-learn automl xgboost automated-machine-learning

Awesome Nas Papers

Awesome Neural Architecture Search Papers

✭ 213

awesome-list automl papers neural-architecture-search nas

Pysr

Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing

✭ 213

python julia machine-learning numpy distributed automl genetic-algorithm

Automlbenchmark

OpenML AutoML Benchmarking Framework

✭ 210

python machine-learning benchmark automl

Flaml

A fast and lightweight AutoML library.

✭ 205

jupyter-notebook machine-learning data-science automl automated-machine-learning

Compose

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

✭ 203

python machine-learning data-science ai automl labeling

Lightautoml

LAMA - automatic model creation framework

✭ 196

python pytorch nlp data-science classification pipeline kaggle automl regression feature-engineering automated-machine-learning gradient-boosting stacking

Lale

Library for Semi-Automated Data Science

✭ 198

python machine-learning data-science artificial-intelligence scikit-learn automl hyperparameter-optimization hyperparameter-tuning interoperability automated-machine-learning

Auto ts

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

✭ 195

python python3 jupyter-notebook time-series automl sklearn time-series-analysis

Mlcomp

Distributed DAG (Directed acyclic graph) framework for machine learning with UI

✭ 183

python deep-learning machine-learning pytorch computer-vision artificial-intelligence research infrastructure automl distributed-computing

Naszilla

Naszilla is a Python library for neural architecture search (NAS)

✭ 181

python deep-learning pytorch tensorflow convolutional-neural-networks automl neural-architecture-search convolutional-networks cifar10

Autofeat

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

✭ 178

jupyter-notebook machine-learning automl feature-engineering linear-regression automated-machine-learning

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

✭ 2,084

scala machine-learning ai spark ml automl salesforce feature-engineering pipelines transformations automated-machine-learning features transformers estimators sparkml structured-data einstein transmogrification transmogrify

Autoclint

A specially designed light version of Fast AutoAugment

✭ 171

python deep-learning pytorch computer-vision convolutional-neural-networks cnn image-classification automl automated-machine-learning

Auptimizer

An automatic ML model optimization tool.

✭ 166

python deep-learning machine-learning data-science neural-networks automl hyperparameter-optimization data-engineering hyperparameter-tuning automated-machine-learning

Btb

A simple, extensible library for developing AutoML systems

✭ 159

python automl hyperparameter-optimization gaussian-processes

Amc Models

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

✭ 154

python automl model-compression

Forecasting

Time Series Forecasting Best Practices & Examples

✭ 2,123

python r jupyter-notebook deep-learning machine-learning artificial-intelligence time-series best-practices automl forecasting lightgbm tidyverse hyperparameter-tuning retail prophet demand-forecasting model-deployment azure-ml dilated-cnn

Evalml

EvalML is an AutoML library written in python.

✭ 145

python machine-learning data-science optimization automl feature-engineering hyperparameter-tuning

Mlmodels

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

✭ 145

python jupyter-notebook deep-learning machine-learning pytorch tensorflow computer-vision nlp keras automl sklearn hyperparameter-optimization nlu gluon

Fairdarts

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

✭ 145

python automl nas

Automl Gs

Provide an input CSV and a target field to predict, generate a model + code to run it.

✭ 1,766

python machine-learning tensorflow keras automl xgboost

Milano

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

✭ 140

python deep-learning machine-learning deep-neural-networks automl hyperparameter-optimization hyperparameter-tuning

Sgas

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

✭ 137

python automl neural-architecture-search

Automl alex

State-of-the art Automated Machine Learning python library for Tabular Data

✭ 132

python machine-learning data-science ml automl sklearn xgboost hyperparameter-optimization machine-learning-library hyperparameter-tuning stacking

Awesome Autodl

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

✭ 1,819

python deep-learning awesome automl neural-architecture-search nas hyper-parameter-optimization autodl

Nas Benchmark

"NAS evaluation is frustratingly hard", ICLR2020

✭ 126

python benchmark automl evaluation neural-architecture-search nas

Auto ml

[UNMAINTAINED] Automated machine learning for analytics & production

Amla

AutoML frAmework for Neural Networks

✭ 119

python deep-learning pytorch tensorflow neural-networks image-classification automl neural-architecture-search hyperparameter-tuning

Deephyper

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

✭ 117

python tensorflow keras deep-neural-networks neural-networks ml automl scalability hyperparameter-optimization neural-architecture-search

Lightwood

Lightwood is Legos for Machine Learning.

✭ 115

python machine-learning pytorch neural-networks ml automl

Petridishnn

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

✭ 112

python deep-learning image-classification automl imagenet neural-architecture-search cifar10 deep-learning-algorithms

Opentpod

Open Toolkit for Painless Object Detection

✭ 106

css deep-learning tensorflow reactjs django object-detection deep-neural-networks django-rest-framework transfer-learning automl tensorflow-models dnn

Pnasnet.tf

TensorFlow implementation of PNASNet-5 on ImageNet

✭ 102

python deep-learning tensorflow automl imagenet neural-architecture-search

Nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Advisor

Open-source implementation of Google Vizier for hyper parameters tuning

✭ 1,359

jupyter-notebook algorithm optimization ml automl

Autoalbument

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

✭ 99

python deep-learning machine-learning pytorch computer-vision automl automated-machine-learning augmentation

Aethos

Automated Data Science and Machine Learning library to optimize workflow.

✭ 94

python machine-learning data-science automation data-visualization automl machinelearning

Awesome Computer Vision

Awesome Resources for Advanced Computer Vision Topics

✭ 92

deep-learning awesome-list computer-vision object-detection gan paper transfer-learning super-resolution automl pose-estimation interpretability

Fast Autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.