jmussach Goto Github PK

abuseimgstorage

acs-deployment-tutorial

A tutorial on how to deploy a Dockerised deep learning application on Azure Container Services

airflow-workshop-pydata-london-2018

aksdeploymenttutorial

Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster

ambar

:mag: Ambar: Document Search Engine

amethyst

Simple Action Server for serverless platform

azure-quickstart-templates

Azure Quickstart Templates

bcolz-bquery-pycones2016

cajamar

catastro

celery

Distributed Task Queue

celery-workshop-geopython-2018

Task queues with Celery and RabbitMQ

cuda-study

data-wrangling-pycon

An Introduction to Data Wranging with Python

datascience

Curated list of Python resources for data science.

datashader

Turns even the largest data into images, accurately.

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-tutorial-pydata

Deep learning tutorial for PyData

deeplearningexamples

Deep Learning Examples

detor

:speak_no_evil: A simple REST API to identify requests made from TOR network.

elasticsearch-py

Official Python low-level client for Elasticsearch.

ep2016_vect4word

100 floats (or a vector) for your word

europython2016_dl-nlp

Introduction to Deep Learning for Natural Language Processing

euroscipy-2019-scikit-learn-tutorial

geopandas-tutorial

Tutorial on geospatial data manipulation with Python

geopython

geopython17

Flask Geospatial Microservice sample code for GeoPython 2017

geopython_2018

Talk on Understanding and Implementing Recurrent Neural Networks using Python - By: Anmol Krishan Sachdeva at GeoPython, Switzerland, 2018

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)

h2o_tutorials

Slides and code examples for H2O tutorials at various events