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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Functional deep learning

Kafka (and Zookeeper) in Docker

📚 Parameterize, execute, and analyze notebooks

Full-featured Python interface for the Slack API

📖 A collection of pure bash alternatives to external processes.

Machine Learning for Go

Parallel computing with task scheduling

Scalable Machine Learning with Dask

Matplotlib Jupyter Integration

A machine learning package for streaming data in Python. The other ancestor of River.

Resumes generated using the GitHub informations

Neural Style and MSG-Net

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Implementing LOF algorithm in ROOT/C++

Online Anomaly Detection for HPC Performance Data

Compiler for Neural Network hardware accelerators

A flexible framework of neural networks for deep learning

A Jupyter - Leaflet.js bridge

DeepVis Toolbox

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

Apache Flink

PyTorch implementation of residual gated graph ConvNets, ICLR’18

Mirror of Apache Samoa (Incubating)

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detecti…

SciPy library main repository

Statistical Machine Intelligence & Learning Engine

Creates and controls services

A quick start project for polyaxon