matteo-dunnhofer Goto Github PK
Name: Matteo Dunnhofer
Type: User
Bio: A bear experimenting AI.
Twitter: dfmic
Location: Udine, Italy
Name: Matteo Dunnhofer
Type: User
Bio: A bear experimenting AI.
Twitter: dfmic
Location: Udine, Italy
Python notebook for the Lab Session on Deep Reinforcement Learning for Control given at the 3rd International Summer School on Artificial Intelligence AI-DLDA 2020.
Python notebooks for the Lab Session on Deep Reinforcement Learning for Control given at the 4th International Summer School on Artificial Intelligence AI-DLDA 2021.
Python implementation of the CoCoLoT tracker (aka mlpLT), winner of the Visual Object Tracking VOT2021 Long-term Challenge.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Python implementation of the LTMU-H and TbyD-H trackers proposed in https://arxiv.org/abs/2209.13502
TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset
Personal website of Matteo Dunnhofer
Implementation of the MRNet model proposed in the paper "Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet" for knee disorders diagnosis.
Official implementation of the MRPyrNet architecture proposed in the papers "Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details" (MIDL 2021) and "Deep convolutional feature details for better knee disorder diagnoses in magnetic resonance images" (Computerized Medical Imaging and Graphics, 2022).
Code for https://fosterelli.co/executing-gradient-descent-on-the-earth
Personal repository of state of art Reinforcement Learning algorithms.
A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.
[WACV 2024] Official code repository to run experiments on the SkiTB dataset.
Algorithms and data structures in Swift, with explanations!
Official code repository to download the TREK-150 benchmark dataset and run experiments on it.
Official code implementation of the papers "Tracking-by-Trackers with a Distilled and Reinforced Model" (ACCV 2020) and "Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator" (ICCVW 2019).
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.