Top 134 automl open source projects

Ray
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
Tune Sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Pocketflow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Adatune
Gradient based Hyperparameter Tuning library in PyTorch
Automlpipeline.jl
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Auto viml
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Awesome Nas Papers
Awesome Neural Architecture Search Papers
Pysr
Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing
Automlbenchmark
OpenML AutoML Benchmarking Framework
Compose
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised 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.
Autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
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
Btb
A simple, extensible library for developing AutoML systems
Amc Models
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Mlmodels
mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
Fairdarts
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
Automl Gs
Provide an input CSV and a target field to predict, generate a model + code to run it.
Milano
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Sgas
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
Awesome Autodl
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
Nas Benchmark
"NAS evaluation is frustratingly hard", ICLR2020
Deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Lightwood
Lightwood is Legos for Machine Learning.
Petridishnn
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Pnasnet.tf
TensorFlow implementation of PNASNet-5 on ImageNet
Advisor
Open-source implementation of Google Vizier for hyper parameters tuning
Autoalbument
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
Aethos
Automated Data Science and Machine Learning library to optimize workflow.
Symbolicregression.jl
Distributed High-Performance symbolic regression in Julia
Java Docs Samples
Java and Kotlin Code samples used on cloud.google.com
Proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
✭ 1,210
pythonautoml
Autodl Projects
Automated deep learning algorithms implemented in PyTorch.
Awesome System For Machine Learning
A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
Once For All
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
✭ 1,127
pythonautomlnas
Shape Adaptor
The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].
Mtlnas
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Mlprimitives
Primitives for machine learning and data science.
1-60 of 134 automl projects