Fast & Simple Resource-Constrained Learning of Deep Network Structure
Provide an input CSV and a target field to predict, generate a model + code to run it.
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Machine Learning in one line of code
Fast and flexible AutoML with learning guarantees.
Differentiable architecture search for convolutional and recurrent networks
An open source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Accessible AutoML for deep learning.
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
Open-source implementation of Google Vizier for hyper parameters tuning
An open source python library for automated feature engineering
MLBox is a powerful Automated Machine Learning python library.
Genetic neural architecture search with Keras
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
[UNMAINTAINED] Automated machine learning for analytics & production
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Automated Machine Learning with scikit-learn
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 Lea
In this tutorial video, Kaggle Data Scientist Rachael shows you how to connect a GCP project to your Kaggle Notebook so you can use Cloud AutoML.
Google is clearly a big player when it comes to all things technology. And like Neurala their Video Intelligence platform is yet another great addition to the ...
ML.NET 1.0 release is the first major milestone of a great journey that started in May 2018 when we released ML.NET 0.1 as open source. ML.NET is an ...
Learn how you can leverage your structured, operational data to tackle mission-critical tasks like supply chain management, fraud detection, lead conversion ...
Data preprocessing is an important aspect of automated machine learning, as generating a usable dataset for prediction and classification problems is among ...
Currently, only a handful of businesses in the world have access to the talent and budgets needed to fully appreciate the advancements of ML and AI.