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devpi-builder

Automatically build and upload python packages to devpi

digits

Deep Learning GPU Training System

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dist-keras

Distributed deep learning with Keras and Apache Spark.

distributed-machine-learning

PySpark, Databrick, h2o, MLlib

distributed-machine-learning-1

Algorithms for distributed Machine Learning using the Python version of Spark

distributed-machine-learning-with-python

Distributed Machine Learning with Python, published by Packt

distributed-tf

Distributed TensorFlow Examples for O'Reilly

distributedkernelshap

distributedr

dl-machine

Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning

dlf

dlnotebooks

INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks

dlrm

An implementation of a deep learning recommendation model (DLRM)

doazureparallel

A R package that allows users to submit parallel workloads in Azure

dockerized_scalable_ml

Machine Learning model training & scalable deployment with Flask, Nginx & Gunicorn wrapped in a Docker Container

documentation

documents

Slides produced by Engineers and Data Scientists of Blue Yonder

dolphinscheduler

Apache DolphinScheduler is the modern data workflow orchestration platform with powerful user interface, dedicated to solving complex task dependencies in the data pipeline and providing various types of jobs available `out of the box`

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

drools

Drools is a rule engine, DMN engine and complex event processing (CEP) engine for Java.

drwhy

DrWhy is the collection of tools for Explainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

dublinr_clusteringminiproject

Supporting code from a 90min talk in Nov 2013 to Dublin R user group about customer clustering for retailer marketing

dvc

🦉Data Version Control | Git for Data & Models

elasticsearch-spark-recommender

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

elephas

Distributed Deep learning with Keras & Spark

ensae_teaching_cs

teaching materials in python at the ENSAE

essential-pyspark-for-scalable-data-analytics

Essential PySpark for Scalable Data Analytics, published by Packt

ethik

:mag_right: A toolbox for fair and explainable machine learning

eurybia

⚓ Eurybia monitor model drift over time and securize model deployment with data validation