Substra demo for EUCAIM project

GrAIdient is a deep learning framework that aims at challenging the way we train and run models in computer vision.

A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.

A high-level federated learning Python library used to run complex federated learning experiments at scale on a Substra network

Examples of Substra implementations

MNIST example for substra

Cours « science des données » à Mines ParisTech (2019-2020)

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Bootstrap Kubernetes the hard way. No scripts.

Documentation of the Substra software

Référentiel d'évaluation data science responsable et de confiance

Python wrappers to interact with a Substra backend

Chaincode for the Substra platform

DEPRECATED - Shared UI component library

Frontend of the Substra software

End to end tests for the Substra software

Low-level Python library used to interact with a Substra network

Backend of the Substra software

Initializes an Hyperledger Fabric network (orchestrator distributed mode)

A Codelab about skaffold

Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.

Deep Learning for humans

Basic material and content to give a quick overview of Substra Foundation

OBSOLETE - Interactively select the quality and format for youtube-dl

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, Dask, Flink and DataFlow

Shell-centric cross-platform MongoDB management tool

Native cross-platform MongoDB management tool

Java Chess Engine

Alternative Code For AurduIMU v3