lvoegtlin's Stars
nektos/act
Run your GitHub Actions locally 🚀
microsoft/MS-DOS
The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
github/copilot-docs
Documentation for GitHub Copilot
asdf-vm/asdf
Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
HigherOrderCO/Bend
A massively parallel, high-level programming language
mame/quine-relay
An uroboros program with 100+ programming languages
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
apple/pkl
A configuration as code language with rich validation and tooling.
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
facebookresearch/ConvNeXt
Code release for ConvNeXt model
NVlabs/SegFormer
Official PyTorch implementation of SegFormer
luispedro/mahotas
Computer Vision in Python
mhamilton723/STEGO
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
charliewolf/pynder
:fire: Python client for tinder api
jeffmli/TinderAutomation
haofanwang/Score-CAM
Official implementation of Score-CAM in PyTorch
IAmSuyogJadhav/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).
mortezamg63/Accessing-and-modifying-different-layers-of-a-pretrained-model-in-pytorch
PhoenixDL/rising
Provides everything needed for high performance data loading and augmentation in pytorch.
PRIS-CV/Mutual-Channel-Loss
Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)
mkisantal/backboned-unet
Build U-Nets for segmentation from pre-trained TorchVision models.
DIAGNijmegen/pathology-streaming-pipeline
Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.
speediedan/finetuning-scheduler
A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
DIVA-DIA/DIVA-DAF
Repository for the deep-learning framework DIVA-DAF which is build with historical document image analysis in mind.
marco-peer/icdar23
Towards Writer Retrieval for Historical Datasets@ICDAR2023 - an unsupervised approach using NetRVLAD and Similarity Graph Reranking
asciusb/BIR-database
DIVA-DIA/HisDB_GT_Refinement
jungomi/summer-school-2023-competition
Our solution for the OCR competition of the summer school of document analysis 2023