amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

budgetkey

Starting point for the Budget Key project

budgetkey-data-pipelines

Budget Key data processing pipelines

dagster-graph-project

Repo demonstrating a Dagster pipeline to generate Neo4j Graph

dask

Parallel computing with task scheduling

dask-examples

dask-geopandas

Parallelized GeoPandas with Dask

dask-ml

Scalable Machine Learning with Dask

dask_pyconil2019

presentation on dask framework - in context of ETL when coming from Pandas

data

Data and code behind the articles and graphics at FiveThirtyEight

docker-postgis

For building a docker image that runs postgresql 9.2 and postgis 2.0 on CentOS 6.4.

documents

Slides produced by Engineers and Data Scientists of Blue Yonder

dynaconf

Configuration Management for Python ⚙

elasticsearch-logstash-kibana-tutorial

Steps I used to setup an ELK stack.

example-video-search

This is an example of search videos using jina

geokey

A platform for participatory mapping that is currently developed at Extreme Citizen Science Research Group at University College London.

gitignore

A collection of useful .gitignore templates

gittle

Pythonic Git for Humans

glacier-upload

A simple python script to upload files to AWS Glacier vaults

israel_gushim

jina-meme-search

Meme search engine built with Jina neural search framework. Search with captions or image files to find matching memes.

mlflow

Open source platform for the machine learning lifecycle

opentaba-gushim

This project includes processing geo data into OpenTaba

osmnx

Python for street networks: retrieve, construct, analyze, and visualize street networks from OpenStreetMap.

osmnx-examples

Examples demonstrating the usage of OSMnx

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

pyvespa

scikit-lego

Extra blocks for scikit-learn pipelines.

sentiment-pipeline-sklearn

Notebooks and resources from Building a Sentiment Analysis Pipeline in scikit-learn series

sephib

My github profile