The ultimate goal of AutoML is to allow domain experts with limited data science or machine learning background easily accessible to deep learning models.
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning
A common bricks library for building scalable and portable distributed machine learning.
fast image augmentation library and easy to use wrapper around other libraries
Run Keras models from a C++ application on embedded devices
Library for fast text representation and classification.
Distributed Asynchronous Hyperparameter Optimization in Python
Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)
An active learning framework for Python3, designed with modularity, flexibility and extensibility in mind.
A Neural Net Training Interface on TensorFlow
The Embedded Learning Library allows you to build and deploy machine-learned pipelines onto embedded platforms, like Raspberry Pis, Arduinos, micro:bits, and other microcontrollers.
A Python package for neural network compression research to reduce the memory footprint of a neural network, increase its inference speed and save energy
Zipline, a Pythonic Algorithmic Trading Library
A library for generalized sequence to sequence models
Massively parallel, high performance analytics database that will rapidly devour all of your data.
A very simple framework for state-of-the-art NLP
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
A fully managed, data-first computation framework under development of U.C. Berkeley RISE Lab.
PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.
A high-level library to help with training neural networks in PyTorch.
Easy to use library to bring Tensorflow on Apache Spark
A Python library by Intel for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
TensorFlow API for the Scala Programming Language
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
NumPy and Pandas interface to Big Data
Swift for TensorFlow documentation repository.
Friendly machine learning for the web!
auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator