Kheil-Z's Stars
oeway/pytorch-deform-conv
PyTorch implementation of Deformable Convolution
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
dykuang/Medical-image-registration
a project for developing registration tools with convolutional neural networks
voxelmorph/voxelmorph
Unsupervised Learning for Image Registration
fepegar/torchio
Medical imaging toolkit for deep learning
rordenlab/dcm2niix
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
Jfortin1/ComBatHarmonization
Harmonization of multi-site imaging data with ComBat
amrzv/awesome-colab-notebooks
Collection of google colaboratory notebooks for fast and easy experiments
almarklein/pyelastix
Thin wrapper around elastix - a toolbox for rigid and nonrigid registration of images
ashishpatel26/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
google/latexify_py
A library to generate LaTeX expression from Python code.
bokeh/bokeh
Interactive Data Visualization in the browser, from Python
timofurrer/try
Dead simple CLI tool to try Python packages - It's never been easier! :package:
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
SuperElastix/SimpleElastix
Multi-lingual medical image registration library
DeepRegNet/DeepReg
Medical image registration using deep learning
je-suis-tm/recursion-and-dynamic-programming
Julia and Python recursion algorithm, fractal geometry and dynamic programming applications including Edit Distance, Knapsack (Multiple Choice), Stock Trading, Pythagorean Tree, Koch Snowflake, Jerusalem Cross, Sierpiński Carpet, Hilbert Curve, Pascal Triangle, Prime Factorization, Palindrome, Egg Drop, Coin Change, Hanoi Tower, Cantor Set, Fibonacci
geoopt/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
deel-ai/xplique
👋 Xplique is a Neural Networks Explainability Toolbox
deel-ai/deel-torchlip
Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see https://github.com/deel-ai/deel-lip
Harry24k/adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks [torchattacks]
Megvii-BaseDetection/DeFCN
End-to-End Object Detection with Fully Convolutional Network
PeizeSun/OneNet
[ICML2021] What Makes for End-to-End Object Detection
git-disl/TOG
Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adversarial objectness gradient attacks, coined as TOG, which can cause the state-of-the-art deep object detection networks to suffer from untargeted random attacks or even targeted attacks with three types of specificity: (1) object-vanishing, (2) object-fabrication, and (3) object-mislabeling. Apart from tailoring an adversarial perturbation for each input image, we further demonstrate TOG as a universal attack, which trains a single adversarial perturbation that can be generalized to effectively craft an unseen input with a negligible attack time cost. Also, we apply TOG as an adversarial patch attack, a form of physical attacks, showing its ability to optimize a visually confined patch filled with malicious patterns, deceiving well-trained object detectors to misbehave purposefully.
inspire-group/patch-defense-leaderboard
A Leaderboard for Certifiable Robustness against Adversarial Patch Attacks
inspire-group/adv-patch-paper-list
A paper list for localized adversarial patch research
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
traveller59/spconv
Spatial Sparse Convolution Library
mit-han-lab/torchsparse
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
nikitakaraevv/pointnet
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593