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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

ai-frameworks

Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificielle

ai_dl_ml_repo

Deep Learning Projects on TensorFlow and Keras

another_repos

ao-m2i

apache-spark-multi-node-installation

Line to line guide of Apache Spark 2.1.0 installation on multi node clusters

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

apprentissage

Science des Données Saison 3: Apprentissage Automatique / Statistique pour l'Intelligence Artificielle

auto-tensorflow

Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

aws-handson-training

aws-nuke

Nuke a whole AWS account and delete all its resources.

azure-databricks-streaming-analytics

Stream processing with Azure Databricks

big-data-stack

Hadoop-based Big Data stack (hdfs, yarn, spark, etc)

bookstore

cdc_pyspark_hive

cloudera

coding-problems

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

computer-experiments

coursera_machine_learning_python

A repository that keeps notebooks and instructions for the Machine Learning with Python Course offered by IBM https://coursera.org/share/a1d91084364f5ab3bd5d1bb8c0583830

data-centric-ai

Resources for Data Centric AI

data-downtime-challenge

data-observability-in-practice

Source code for the MC technical blog post "Data Observability in Practice Using SQL"

data-product-management-nanodegree

This is a repository keeping the project of the Data Product Management Nano Degree. In this project, we apply data science techniques, data engineering processes, and market experimentation tests to deliver customized product experiences. Additionally, you’ll begin by using the power of SQL and Tableau to inform product strategy.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dataarchitectnd

This repository keeps all project material to plan, design and implement enterprise data infrastructure solutions and create the blueprints for an organization’s data success.

datadefiia2020

label of defi IA 2020 data

deep-learning-using-keras---a-complete-and-compact-guide-for-beginners

deep-learning-with-mxnet-cookbook

Deep Learning with MXNet Cookbook, published by Packt