Chidubem Iddianozie (chiddianozie)

chiddianozie

Geek Repo

Company:Finance

Location:London

Home Page:https://chidubemiddianozie.com

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Chidubem Iddianozie's repositories

GraphEmbedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

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hetspatial

HetSpatial

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gitworkshopRepo

Just a sample repo

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amld2020-workshop

This repo contains workshop material for Applied Machine Learning Days 2020 conference

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booksoup

Booksoup allows you to analyse and traverse your downloaded facebook data, including features such as sentiment analysis and message frequency analysis over time.

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chiddianozie

Personal Repo

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Data-Analysis

Data Analysis Using Python

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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dlaicourse

Notebooks for learning deep learning

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DRIVER

DRIVER - Data for Road Incident Visualization, Evaluation, and Reporting

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folium

Python Data. Leaflet.js Maps.

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geopandas

Python tools for geographic data

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InfluenzaPredictionIreland

Predicting weekly cases of Influenza in Ireland using climatic data

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johnsWebsite

This is John's Website

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lucid

A collection of infrastructure and tools for research in neural network interpretability.

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naturalproofs

NaturalProofs: Mathematical Theorem Proving in Natural Language

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Neural-Network-Architecture-Diagrams

Diagrams for visualizing neural network architecture (Created with diagrams.net)

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nl-ps

Repo for the paper Natural Language Premise Selection: Finding Supporting Statements for Mathematical Texts, 12th Language Resources and Evaluation Conference (LREC), Marseille, France, 2020 (Language Resource Paper).

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online-cv

A minimal Jekyll Theme to host your resume (CV)

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osmesa

OSMesa is an OpenStreetMap processing stack based on GeoTrellis and Apache Spark

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pypostal

Python bindings to libpostal for fast international address parsing/normalization

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staeiou.github.io

Github pages

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TSML.jl

A package for time series data processing, classification, clustering, and prediction.

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