Samet Cetin's starred repositories
segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
techniques
Techniques for deep learning with satellite & aerial imagery
cheatsheets
Official Matplotlib cheat sheets
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
pytorch-template
PyTorch deep learning projects made easy.
SegLossOdyssey
A collection of loss functions for medical image segmentation
pytorch-fid
Compute FID scores with PyTorch.
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
WeightWatcher
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
awesome-gee-community-datasets
Community Datasets added by users and made available for use at large
custom-scripts
A repository of custom scripts to be used with Sentinel Hub
CADA-VAE-PyTorch
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
BreizhCrops
A Satellite Time Series Dataset for Crop Type Identification
noisy_labels
TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
embarrassingly-simple-zero-shot-learning
This is a started/demo code for Zero-Shot-Learning via implementation of Embarrassingly simple ZSL (ICML 2015)
dnn-topology
Computing topological cavities of deep neural networks
bert-sentiment
Fine-grained Sentiment Classification Using BERT
Pytorch-DeepLab-v3-plus
deeplab v3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
deep-generative-models-course-projects
Paper re-implementations from the course METU CENG796 Deep Generative Models.
senEtSnapSta
:gear: SNAP STA for Sen-ET
Conditional-GAN-pytorch
Implementation of Conditional DCGAN for Dog Dataset