henningheyen Goto Github PK
Name: Henning Heyen
Type: User
Bio: Hey there :) My name is Henning. I'm a CS grad @ TUM and an AI grad @ UCL. My interests are in data science. I'm currently looking for a London-based job.
Location: London
Name: Henning Heyen
Type: User
Bio: Hey there :) My name is Henning. I'm a CS grad @ TUM and an AI grad @ UCL. My interests are in data science. I'm currently looking for a London-based job.
Location: London
This essay analyses the paper ”Predicting Livelihood Indicators from Community-Generated Street- Level Imagery” (Lee, 2021). The focus of this essay is to critically assess the approach with respect to the 17 Sustainable Development Goals (SDGs) proposed by the United Nations in 2015 and its impact on sustainability in general.
This essay critically analyses the paper ”Easy over Hard: A Case Study on Deep Learning” (2017) by Wei Fu and Tim Menzies.
The goal of this project is to show how state-of-the-art image classifiers behave when the input images are out of distribution
YOLO formatted fruits and vegetables dataset for detection with 63 classes and 8221 images with fine tuned basline models
Bachelor Project TUM: Analysing Nash convergence in finite games under No Regret Learning dynamics
This repository contains a machine learning tutorial on predicting heart disease based on medical features.
The goal of this repo is to provide a realistic setting for a machine learning application. The dataset includes over 50 features representing patient and hospital outcomes. The aim is to predict which patients will need hospital readmission. This tutorial covers most steps in the ML pipeline (preprocessing, training, evaluation, interpretation...)
The objective of this project is to utilize grey matter measurements obtained from structural MRI brain scans to create a predictor that can differentiate between schizophrenic patients and healthy controls. I am comparing three models: Logistic Regression, Random Forrest and MultiLayerPerceptron. This project is part of a RAMP challenge.
Lecture notes for COMP0190 Project Preparation
This project aims to touch on the most important topics in the field of Responsible AI including bias, fairness, interpretability, error analysis and counterfactuals. Why apply those concepts to the adult dataset
ICLR 2024 workshop on Secure and Trustworthy LLMs
Simple Web Application for Transcribing Audio to Text using Open AI's Whisper AI model. Transcripts can be downloaded as pdf, docx, txt, etc.
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.