danielhelle Goto Github PK
Name: Daniel Helle
Type: User
Company: Tietoevry Findwise
Bio: Backend SWE, data engineer, deep learning researcher and elasticsearch aficionado
Location: Sweden, Stockholm
Name: Daniel Helle
Type: User
Company: Tietoevry Findwise
Bio: Backend SWE, data engineer, deep learning researcher and elasticsearch aficionado
Location: Sweden, Stockholm
3DUNet implemented with pytorch
Implemented an AI in a fishing game together with Olof Jonnerby that maximizes the green boat's score (number of fish). The AI uses the search algorithm minimax and alphabeta pruning
This program listens for changes to the repository, compiles the project, runs the corresponding tests, and notifies the contributor of the test results via an email.
Dataset Distillation Fork
Black box meta learning on condensed priors.
Kaggle Digit Recognizer competition. See https://www.kaggle.com/competitions/digit-recognizer
Learning to solve algorithms with Haskell. Currently I have only written an algorithm that, given a list of edges and a starting vertex and an end vertex, uses BFS to check if there exists a path between them. It takes cycles into account.
We solved an issue on an open source Graphical Java application for managing BibTeX and biblatex (.bib) databases. A popover was created that visualizes information about journal publications. GSON was parsed and fetched from an API. See branch Journal-information-popup-6189.
Refactored code in an open source Algorithms and Data Structures project implemented in Java. See branch addRefactoringDaniel.
This is a program I wrote for a machine learning competition at KTH. It creates a txt file called labels.txt with predicted labels for the y attribute. It trains on the TrainOnMe.csv file and evaluates on EvaluateOnMe.csv.
As a part of a hypothetical anti-ballistic system, the decide() function generates a boolean signal which determines whether an interceptor should be launched based upon input radar tracking information.
Odin project
Fork of pytorch implementation of Optimization as a Model for Few-shot Learning
Forked PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Added a feature extraction ResUNet autoencoder that infuses 3D topology in the X2CT model.
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.