The ultimate goal of AutoML is to allow domain experts with limited data science or machine learning background easily accessible to deep learning models.
scikit-learn: machine learning in Python
:elephant: Elasticsearch real-time search and analytics natively integrated with Hadoop
A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow
A computer algebra system written in pure Python
Library for fast text representation and classification.
Distributed deep learning system
Deep Learning Toolkit for Medical Image Analysis
Distributed computation in Python
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
Elasticsearch client for Go.
Sarama is a Go library for Apache Kafka 0.8, 0.9, and 0.10.
SciPy is open-source software for mathematics, science, and engineering
A library for generalized sequence to sequence models
auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator
Pretrained ConvNets for pytorch: ResNeXt101, ResNet152, InceptionV4, InceptionResnetV2, etc.
Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow and XGBoost
The Apache Kafka C/C++ library
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++
All kinds of text classification models and more with deep learning
Zipline, a Pythonic Algorithmic Trading Library
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 open-source NLP research library, built on PyTorch.
Sparser: Raw Filtering for Faster Analytics over Raw Data
High Performance, Easy-to-use, and Scalable Machine Learning Package
A TensorFlow library for applied reinforcement learning
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow