Name: Tiago Oliveira
Type: User
Company: Capgemini
Bio: Functional Programming, HPC & Reactive Architecture Enthusiast
Scala (Spark, Akka), Clojure, C, C#, Python.
Certified Neo4j & Databricks Spark Professional
Location: Vigo, Spain
Blog: https://www.linkedin.com/in/tiagoliveira/
Tiago Oliveira's Projects
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Official FlatWoken icon theme source repository.
Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"
:books: Freely available programming books
High performance Chinese tokenizer with both GBK and UTF-8 charset support based on MMSEG algorithm developed by ANSI C. Completely based on modular implementation and can be easily embedded in other programs, like: MySQL, PostgreSQL, PHP, etc.
Sample project demonstrating use of fs2-io to build a chat client and server
A typesetted F# Cheatsheet in PDF and HTML formats using F# literate tools
Code and exercise solutions from the book Fullstack GraphQL, published by Manning
Scala programming exercises by Prof. Martin Odersky from École Polytechnique Fédérale de Lausanne (EPFL), Switzerland in Coursera.
The repository for the Functional Scala workshop.
GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia for the evaluation of coreference resolution in practical applications.
Lightweight real-time big data streaming engine over Akka
A website for exploring the Metropolitan Museum of Art's collection with Generative Adversarial Networks
A native functional ASP.NET Core web framework for F# developers.
Gists for use in GraphGists.
Sample apps and code written for Google Cloud in the Go programming language.
Demo code for Smart Talk Meetup
go generate based graphql server library
Simple starter project for GRANDstack full stack apps
A podcast application built using GRANDstack
Elasticsearch plugin offering Neo4j integration for Personalized Search
links to conference publications in graph-based deep learning
Example use cases from the O'Reilly Graph Databases book
Graph Machine Learning, published by Packt
A simple graph library
Handwritten Bengali Graphemes. Ground Truth and Extraction.
Creates a Neo4j graph of Wikipedia links.
GraphiPy: Universal Social Data Extractor
A Ruby library for declaring, composing and executing GraphQL queries