Pinned Repositories
AML
augraphy
Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes
backboned-unet
Build U-Nets for segmentation from pre-trained TorchVision models.
Colorization-with-text
dataset4objdet
Dataset class for processing different types of formats out-of-the-box for object detection. Should be compatible with my implementation of yolo and the pytorch implementation of faster rcnn.
dataset4textclass
Basic dataset class for text classificaiton with transformers
example_solutionsIBN
One or many example solutions I wrote as a tutor for the IBN lecture
facemaskdetection
kaggle face mask detection challenge
MMD
split4pandas
Easy splitting into train/test or k-forlds for data stored as pandas DataFrame, which to iterate on
erik-koynov's Repositories
erik-koynov/MMD
erik-koynov/facemaskdetection
kaggle face mask detection challenge
erik-koynov/split4pandas
Easy splitting into train/test or k-forlds for data stored as pandas DataFrame, which to iterate on
erik-koynov/AML
erik-koynov/augraphy
Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes
erik-koynov/backboned-unet
Build U-Nets for segmentation from pre-trained TorchVision models.
erik-koynov/Colorization-with-text
erik-koynov/dataset4objdet
Dataset class for processing different types of formats out-of-the-box for object detection. Should be compatible with my implementation of yolo and the pytorch implementation of faster rcnn.
erik-koynov/dataset4textclass
Basic dataset class for text classificaiton with transformers
erik-koynov/example_solutionsIBN
One or many example solutions I wrote as a tutor for the IBN lecture
erik-koynov/invertransforms
A library which turns torchvision transformations invertible and replayable.
erik-koynov/law_related_ML
erik-koynov/laws_preprocessing
Reformat Laws
erik-koynov/nvidia-htop
A tool for enriching the output of nvidia-smi.
erik-koynov/pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
erik-koynov/recommendersystemtask
erik-koynov/sentimentanalysistask
erik-koynov/Smoothly-Blend-Image-Patches
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
erik-koynov/xml2df
Convert nested xml files to pandas dataframes
erik-koynov/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
erik-koynov/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors