Antonio Trenta (antoniotre86)

antoniotre86

Geek Repo

Company:JP Morgan

Location:London

Home Page:antoniotre86.github.io/web

Twitter:@antosanshi

Github PK Tool:Github PK Tool

Antonio Trenta's repositories

IERCT

Automated extraction of key information from randomised clinical trial reports.

Language:PythonLicense:GPL-2.0Stargazers:5Issues:0Issues:0

netflix_genres_scraper

Scrapes Netflix for genres and film titles in each genre

Language:PythonStargazers:1Issues:0Issues:0

airspace-jekyll

A port of the Airspace theme by ThemeFisher to Jekyll.

Language:CSSLicense:NOASSERTIONStargazers:0Issues:0Issues:0

antoniotre86.github.io-old

Minima is a one-size-fits-all Jekyll theme for writers.

Language:SCSSLicense:MITStargazers:0Issues:0Issues:0

causal-inference

Collection of work related to Causal Inference

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

docker-react

For the Udemy course "Docker and Kubernetes: The Complete Guide"

Language:JavaScriptStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

linguine-app

Word language prediction app (Italian vs English) [WIP]

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

old_faithful

Shiny app to predict the waiting time to the next eruption of the Old Faithful geyser - Developing Data Products project (coursera)

Language:RStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Language:JavaScriptStargazers:0Issues:0Issues:0

multi-k8s

From Udemy "Docker and Kubernetes: The Complete Guide"

Language:JavaScriptStargazers:0Issues:0Issues:0

recipe-mixer

Mix ingredients and get meal nutritional information

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

reddit-watcher

Reddit bot that scans given subreddits for keywords and cross-posts the relevant submissions it found.

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

so-simple-theme

A simple Jekyll theme for words and pictures.

License:MITStargazers:0Issues:0Issues:0

stanford-cs224n-assignments

My solutions to the assignments from the course "Natural Language Processing with Deep Learning" (CS224n) from Stanford University (Winter 2020); http://web.stanford.edu/class/cs224n/

Language:PythonStargazers:0Issues:0Issues:0

web

Personal landing page

Language:HTMLLicense:GPL-2.0Stargazers:0Issues:0Issues:0