matteo-dunnhofer

Matteo Dunnhofer's repositories

imagenet

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Language:PythonMIT161 7 14

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).

Language:PythonGPL-3.015 10

TREK-150-toolkit

Official code repository to download the TREK-150 benchmark dataset and run experiments on it.

Language:Python10 1 5

MRPyrNet

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).

Language:PythonGPL-3.07 20

CoCoLoT

Python implementation of the CoCoLoT tracker (aka mlpLT), winner of the Visual Object Tracking VOT2021 Long-term Challenge.

Language:PythonMIT3 10

rl-pytorch

Personal repository of state of art Reinforcement Learning algorithms.

Language:Python2 20

SkiTB-toolkit

[WACV 2024] Official code repository to run experiments on the SkiTB dataset.

Language:Python2 30

AI-DLDA-2020-deep-reinforcement-learning-for-control

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.

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AI-DLDA-2021-deep-reinforcement-learning-for-control

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.

Language:Jupyter Notebook010

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Language:PythonGPL-3.0020

fpv-tracking-baselines

Python implementation of the LTMU-H and TbyD-H trackers proposed in https://arxiv.org/abs/2209.13502

Language:Python01 1

matteo-dunnhofer.github.io

Personal website of Matteo Dunnhofer

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mrnet-baseline

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.

Language:Python000

physical-gradient-descent

Code for https://fosterelli.co/executing-gradient-descent-on-the-earth

Language:Python010

siamfc-pytorch

A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.

Language:PythonMIT000

swift-algorithm-club

Algorithms and data structures in Swift, with explanations!

Language:SwiftMIT010