MC Stan

Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences.

17 Alternatives To MC Stan

Airflow

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

CUDA

Select Target Platform Click on the green buttons that describe your target platform.

EDIT Self-Driving Car

The world’s first open & modular self-driving car
images/2020/04/Gensim.png}}

Gensim

Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora.

H2O

An optimized HTTP server / library implementation that can be used either as a standalone server or…
images/2020/04/Keras.png}}

Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Kubeflow

Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated

MLKit

MLKit is a simple machine learning framework written in Swift.

Paperspace

GPU cloud computing made easy. Effortless infrastructure for Machine Learning and Data Science

Pipelines

Pipelines Inc.

PredictionIO

Apache PredictionIO™ Open Source Machine Learning Server.
images/2020/04/PyTorch.png}}

PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to…

Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Seldon

Seldon increases engagement and revenue by providing a smarter personalised user experience.