miguelperalvo Goto Github PK

native-docker-swarm

native-docker-swarm

neo4j

Graphs for Everyone

neon

Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nlp-demo-2017

Semantic natural language understanding at scale using Spark, machine-learned annotators and deep-learned ontologies

nlp.spark.annotate

notebooks for nlp-on-spark

nlp_demo

nlpia

nlpython

This repository contains the code related to Natural Language Processing using python scripting language

nscala-time

A new Scala wrapper for Joda Time based on scala-time

nsq

A realtime distributed messaging platform

numpytutorial

Notebooks for tutorial on Numpy at PyData London 2018

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

op-rabbit

The Opinionated RabbitMQ Library for Scala and Akka

opencog

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

openshift-spark

optimus

:truck: Agile Data Science Workflows made easy with Pyspark

orchestration-workshop

orientdb

OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text, Geospatial and Key-Value models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries. OrientDB Community Edition is Open Source using a liberal Apache 2 license.

oryx

Oryx 2: Lambda architecture on Spark, Kafka for real-time large scale machine learning

oxford-cs-deepnlp-2017-lectures

Oxford Deep NLP 2017 course

oxford-cs-deepnlp-2017-practical-1

Oxford Deep NLP 2017 course - Practical 1: word2vec

oxford-cs-deepnlp-2017-practical-2

Oxford Deep NLP 2017 course - Practical 2: Text Classification

oxford-cs-deepnlp-2017-practical-3

Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs

oxford-cs-deepnlp-2017-practical-4-open

Oxford Deep NLP 2017 course - Open practical

pact-python

Python version of Pact. Enables consumer driven contract testing, providing a mock service and DSL for the consumer project, and interaction playback and verification for the service provider project.

paperboy

A web frontend for scheduling Jupyter notebook reports

part2

pdvega

Interactive plotting for Pandas using Vega-Lite

petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.