sankaushik

generative-models

Generative Models by Stability AI

techniques

Techniques for deep learning with satellite & aerial imagery

YAD2K

YAD2K: Yet Another Darknet 2 Keras

awesome-healthcare

Curated list of awesome open source healthcare software, libraries, tools and resources.

OnnxStream

Lightweight inference library for ONNX files, written in C++. It can run SDXL on a RPI Zero 2 but also Mistral 7B on desktops and servers.

pytorch-msssim

Fast and differentiable MS-SSIM and SSIM for pytorch.

Awesome-Foundation-Models

A curated list of foundation models for vision and language tasks

pywick

High-level batteries-included neural network training library for Pytorch

focal-tversky-unet

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

ViT-V-Net_for_3D_Image_Registration_Pytorch

Vision Transformer for 3D medical image registration (Pytorch).

r2cloud

Decode satellite signals on Raspberry PI or any other 64-bit CPU.

orthopy

:triangular_ruler: Orthogonal polynomials in all shapes and sizes.

eigenfish

# Eigenfish Ideas by the wonderful ["Computational Discovery on Jupyter"](https://computational-discovery-on-jupyter.github.io/Computational-Discovery-on-Jupyter/index.html) by Neil J. Calkin, Eunice Y.S. Chan, and Robert M. Corless, and the gallery of the [Bohemian Matrices site](http://bohemianmatrices.com).

kaapana

Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.

yolo-v4-tf.keras

A simple tf.keras implementation of YOLO v4

zernike

Python code for Zernike polynomials

holoscan-sdk

The AI sensor processing SDK for low latency streaming workflows

TUTORIAL

holohub

Central repository for applications and operators for Holoscan

imgcluster

Image clustering using the similarity algorithms: SIFT, SSIM, CW-SSIM, MSE

Fractals

In the last few years, I have developed a lot of Jupyter notebooks to draw fractals. In this repository, I will gradually share them. Creative Commons Attribution-ShareAlike 4.0 International License.

scDINO

Self-Supervised Vision Transformers for multiplexed imaging datasets

Hyper-Convolution

Hyper-Convolution Networks for Biomedical Image Segmentation

darkeras-yolov4

Run YOLO on Keras using Darknet Weights

visual-auditor

Interactive scalable auditing of model biases and vulnerabilities with interpretable mitigation

transformers_for_imaging

Study_Of_VL

KAIST medical VL research group

algorithm-template

Template to prepare a docker image for https://synthrad2023.grand-challenge.org/

SpineSource

Source code for Spine segmentation and analysis project

zernike_simulate

zernike for python 3.6