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
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EDIT Self-Driving Car
The world’s first open & modular self-driving car
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…
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.
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.