Pinned Repositories
anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
fwdgrad
Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch
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
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
Orobix's Repositories
orobix/retina-unet
Retina blood vessel segmentation with a convolutional neural network
orobix/Prototypical-Networks-for-Few-shot-Learning-PyTorch
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
orobix/fwdgrad
Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch
orobix/Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch
Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch
orobix/quadra
Quadra: Effortless and reproducible deep learning workflows with configuration files.
orobix/mdd-domain-adaptation
Simple reimplementation of Maximum Density Divergence for Unsupervised Domain Adaptation (https://arxiv.org/abs/2004.12615) in PyTorch Lightning
orobix/PyCon9-Pytorch-from-Ground-Up
Material for "PyTorch from Ground Up", a training session at PyCon Nove (Florence, 2018)
orobix/terraform-provider-azureml
orobix/ranger
Run commands in nested directory structures
orobix/anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
orobix/itkffi
Interoperate with ITK through FFI in Torch, Python, Julia
orobix/azureml-go-sdk
orobix/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.
orobix/dicomnext
Dicom Next website
orobix/invariant-ai-website
Website for invariant.ai
orobix/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
orobix/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
orobix/vmtkacademy.com
orobix/vmtklab
vmtkLab website