📚 Parameterize, execute, and analyze notebooks
- jupyter
- notebooks
- notebook-generator
- nteract
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📚 Parameterize, execute, and analyze notebooks
Scalable and user friendly neural :brain: forecasting algorithms.
An extensible framework for linking databases and interactive views.
Scalable machine 🤖 learning for time series forecasting.
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
Mirror of Apache Toree (Incubating)
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.
Powerful note-taking app with nested documents, full-text search, rich-text editor, code snippet editor and more
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Big Data Science Swiss Army Knife - http://www.tuktu.io --
Integration of R, Java, and Scala
GNU Scientific Library (GSL) bindings for Scala native