lvoegtlin

Bend

A massively parallel, high-level programming language

MS-DOS

The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes

DIVA-DAF

Repository for the deep-learning framework DIVA-DAF which is build with historical document image analysis in mind.

pkl

A configuration as code language with rich validation and tooling.

act

Run your GitHub Actions locally 🚀

icdar23

Towards Writer Retrieval for Historical Datasets@ICDAR2023 - an unsupervised approach using NetRVLAD and Similarity Graph Reranking

summer-school-2023-competition

Our solution for the OCR competition of the summer school of document analysis 2023

BIR-database

backboned-unet

Build U-Nets for segmentation from pre-trained TorchVision models.

quine-relay

An uroboros program with 100+ programming languages

pynder

:fire: Python client for tinder api

TinderAutomation

HisDB_GT_Refinement

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

finetuning-scheduler

A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

SegFormer

Official PyTorch implementation of SegFormer

STEGO

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

asdf

Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more

mahotas

Computer Vision in Python

copilot-docs

Documentation for GitHub Copilot

ConvNeXt

Code release for ConvNeXt model

Score-CAM

Official implementation of Score-CAM in PyTorch

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

pathology-streaming-pipeline

Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.

3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Mutual-Channel-Loss

Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

rising

Provides everything needed for high performance data loading and augmentation in pytorch.

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Accessing-and-modifying-different-layers-of-a-pretrained-model-in-pytorch