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anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

azureml-go-sdk

dicomnext

Dicom Next website

fwdgrad

Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch

invariant-ai-website

Website for invariant.ai

itkffi

Interoperate with ITK through FFI in Torch, Python, Julia

lit-gpt

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

mdd-domain-adaptation

Simple reimplementation of Maximum Density Divergence for Unsupervised Domain Adaptation (https://arxiv.org/abs/2004.12615) in PyTorch Lightning

prototypical-networks-for-few-shot-learning-pytorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

pycon9-pytorch-from-ground-up

Material for "PyTorch from Ground Up", a training session at PyCon Nove (Florence, 2018)

quadra

Quadra: Effortless and reproducible deep learning workflows with configuration files.

ranger

Run commands in nested directory structures

retina-unet

Retina blood vessel segmentation with a convolutional neural network

segmentation_models.pytorch

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

terraform-provider-azureml

visual-feature-attribution-using-wasserstein-gans-pytorch

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

vmtkacademy.com

vmtklab

vmtkLab website