240 Open Source Automl Software Projects
Free and open source automl code projects including engines, APIs, generators, and tools.
Ray Project Ray 18961 ⭐
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 8425 ⭐
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Nni 10910 ⭐
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
H2o 3 5701 ⭐
H2O 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.
Awesome Automl Papers 3246 ⭐
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Pocketflow 2676 ⭐
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Transmogrifai 2089 ⭐
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 1768 ⭐
Provide an input CSV and a target field to predict, generate a model + code to run it.
Awesome Autodl 1846 ⭐
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
Proxylessnas 1293 ⭐
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Awesome System For Machine Learning 1520 ⭐
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
Kartikchugh Otto 909 ⭐
Once For All 1426 ⭐
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Autodl 935 ⭐
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
Keras Idiomatic Programmer 764 ⭐
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 745 ⭐
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 651 ⭐
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
Deepcamera 846 ⭐
AI Face Recognition/Person Detection NVR. Machine Learning On The Edge, turn your Camera into AI-powered with Jetson Nano and telegram to protect your privacy.
Atm 515 ⭐
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Mljar Supervised 1756 ⭐
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Machine.js 412 ⭐
[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 343 ⭐
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Autodeeplab 285 ⭐
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
Lazypredict 283 ⭐
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Autoviz 618 ⭐
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Automlpipeline.jl 292 ⭐
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Machinelp Codefun 331 ⭐
DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL
Auto_viml 328 ⭐
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...
Autofeat 275 ⭐
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Milano 144 ⭐
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Luminaire 521 ⭐
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Featurelabs Compose 307 ⭐
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
Sgas 149 ⭐
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
Petridishnn 113 ⭐
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Deephyper 155 ⭐
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Autogbt 97 ⭐
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 101 ⭐
:chart: SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform :computer:
Autogbt Alt 76 ⭐
An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Paperweekly 151 ⭐
Papers for CNN, object detection, keypoint detection, semantic segmentation, medical image processing, SLAM, etc.
Dgconv.pytorch 68 ⭐
PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models
Autospeech 159 ⭐
[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang
Efficientnas 45 ⭐
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
Auto_ts 381 ⭐
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.