sankaushik Goto Github PK
Name: Sandeep Kaushik
Type: User
Bio: Medical image analysis - MRI, PET/MR, CT; Learning algorithms; Python, C++, ITK, ANTs, Tensorflow, PyTorch; Docker; MLOps
Location: Bangalore, India
Name: Sandeep Kaushik
Type: User
Bio: Medical image analysis - MRI, PET/MR, CT; Learning algorithms; Python, C++, ITK, ANTs, Tensorflow, PyTorch; Docker; MLOps
Location: Bangalore, India
1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.
3D super-resolution using Generative Adversarial Networks
Project for Digital Image Processing
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
A collection of resources on applications of Transformers in Medical Imaging.
Visualizing intermediate activation in Convolutional Neural Networks with Keras
Official implementation for "Image Quality Assessment using Contrastive Learning"
Introduction to Git for Data Science
For DFS Lab-File
A repository created for assignment in Coursera's Data Scientist's Toolbox course.
The Leek group guide to data sharing
Official repository of DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models, ICLR2023
List of deep learning papers and abstracts for Magnetic Resonance Imaging (MRI) applications
Simple Tensorflow implementation of Densenet using Cifar10, MNIST
# 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).
Python implementation of the Fractal Flame Algorithm
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.
Google Research
Image processing utility code.
Deep Learning for humans
Keras implementations of Generative Adversarial Networks.
A C++/Python implementation of the statistical region merging algorithm
A list of Medical imaging datasets. Source : https://sites.google.com/site/aacruzr/image-datasets
Starter kit for working with medical image data
Example of evaluation metrics used in the SynthRAD2023 challenge
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.