hdooster Goto Github PK
Type: User
Bio: Data Scientist / Deep Learning Engineer / Developer
Location: Ghent, Belgium
Type: User
Bio: Data Scientist / Deep Learning Engineer / Developer
Location: Ghent, Belgium
This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
datasciencecoursera
The Leek group guide to data sharing
My submission for the project of Developing Data Projects.
Presentation, notebooks and supporting files for Meetup "Python for Data Scientists", given at the European Data Innovation Hub in Brussels on Thu 17 Sep 2015.
Plotting Assignment 1 for Exploratory Data Analysis
Course Project 2
Image augmentation for machine learning experiments.
Extract structured data from ingredient phrases using conditional random fields
Toolbox of models, callbacks, and datasets for AI/ML researchers.
My submission for the PML course project
Repository for Programming Assignment 2 for R Programming on Coursera
Peer Assessment 1 for Reproducible Research
This is my submission for the Course Project of Course 3: Getting and Cleaning Data
tf.keras implementation of "Learning Not to Learn: Training Deep Neural Networks with Biased Data"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.