cetinsamet

imgaug

Image augmentation for machine learning experiments.

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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

yacs

YACS -- Yet Another Configuration System

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

tfvaegan

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

noisy_labels

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

renet

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification

B-cos

B-cos Networks: Alignment is All we Need for Interpretability

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.

AGZSL

gm_lc_v3

Land Cover (GLCNMO) - Global version - Version 3

senEtSnapSta

:gear: SNAP STA for Sen-ET

Conditional-GAN-pytorch

Implementation of Conditional DCGAN for Dog Dataset