140 Open Source Automl Software Projects
Free and open source automl code projects including engines, APIs, generators, and tools.
Ray Project Ray 13495 ⭐
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.
Tpot 7554 ⭐
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Nni 7302 ⭐
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
H2o 3 5016 ⭐
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.
Awesome Automl Papers 2696 ⭐
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Pocketflow 2546 ⭐
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Transmogrifai 1949 ⭐
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
Automl Gs 1688 ⭐
Provide an input CSV and a target field to predict, generate a model + code to run it.
Awesome Autodl 1430 ⭐
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
Proxylessnas 1143 ⭐
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Awesome System For Machine Learning 1019 ⭐
A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
Kartikchugh Otto 877 ⭐
Once For All 899 ⭐
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Autodl 772 ⭐
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
Keras Idiomatic Programmer 684 ⭐
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Awesome Automl And Lightweight Models 653 ⭐
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.
Hungabunga 601 ⭐
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
Serengil Tensorflow 101 547 ⭐
TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
Deepcamera 523 ⭐
SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.
Atm 496 ⭐
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Mljar Supervised 547 ⭐
Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
H1st 635 ⭐
Human-First AI solves the “cold-start” problem of Industrial AI: encoding human expertise to augment the lack of data, while bridging to powerful ML—based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.
Machine.js 411 ⭐
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Mit Han Lab Amc 262 ⭐
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Autodeeplab 241 ⭐
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
Lazypredict 238 ⭐
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Autoviz 230 ⭐
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Automlpipeline.jl 206 ⭐
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Carefree Learn 199 ⭐
A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch
Auto_viml 146 ⭐
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Mlmodels 142 ⭐
mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
Bananas 140 ⭐
Bayesian Optimization with Neural Architectures for Neural Architecture Search - https://arxiv.org/abs/1910.11858
Autofeat 136 ⭐
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Milano 133 ⭐
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Luminaire 139 ⭐
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Featurelabs Compose 143 ⭐
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
Sgas 122 ⭐
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
Petridishnn 107 ⭐
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Deephyper 96 ⭐
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Autogbt 92 ⭐
AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.
Simon Frontend 79 ⭐
:chart: SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform :computer:
Autogbt Alt 74 ⭐
An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Paperweekly 67 ⭐
Papers for CNN, object detection, keypoint detection, semantic segmentation, AutoML etc.
Dgconv.pytorch 61 ⭐
PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models
Autospeech 75 ⭐
[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang
Efficientnas 46 ⭐
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
Auto_ts 50 ⭐
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models on Time Series data sets with a Single Line of Code