tanyapole

awesome_OpenSetRecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

Calibrated-Multiple-Uncertainties

Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)

Convolutional-KANs

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

Domain-Consensus-Clustering

[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

ISIC-GAN

Using GANs for ISIC

ISIC2018

Lesion attributes segmentation for melanoma detection with multi-task U-Net

ml-diplom-1

notes-representation-learning

My notes on representation learning

OVANet

Repository for OVANet

reproduce-OSLPP

tanyapole/reproduce-OSLPP

tanyapole/awesome_OpenSetRecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

tanyapole/Calibrated-Multiple-Uncertainties

Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)

tanyapole/Convolutional-KANs

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

tanyapole/Domain-Consensus-Clustering

[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

tanyapole/ISIC-GAN

Using GANs for ISIC

tanyapole/ISIC2018

Lesion attributes segmentation for melanoma detection with multi-task U-Net

tanyapole/ml-diplom-1

tanyapole/notes-representation-learning

My notes on representation learning

tanyapole/OVANet

Repository for OVANet

tanyapole/pykan

Kolmogorov Arnold Networks

tanyapole/segmentation-as-additional-channels

Using segmentationmasks as additional channels for classification

tanyapole/topology-decision-boundaries

Topology of decision boundaries

tanyapole/torch-conv-kan

This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as scripts for experiments with CIFAR-10 and Tiny ImageNet.

tanyapole/Universal-Domain-Adaptation

Code release for Universal Domain Adaptation(CVPR 2019)

tanyapole/visda21-dev

tanyapole/YNet-segmentation-4-classification

Using segmentation masks to improve classification with a YNet architercture