bhupender-kaushal Goto Github PK
Name: Bhupender Kaushal
Type: User
Bio: Research Scholar NIT Calicut Deep Learning and Medical Imaging
Location: INDIA
Name: Bhupender Kaushal
Type: User
Bio: Research Scholar NIT Calicut Deep Learning and Medical Imaging
Location: INDIA
Official PyTorch implementation of AdaDiff described in the paper (https://arxiv.org/abs/2207.05876).
Original implementation of the model AE-NE described in the paper " Autoencoder-based background reconstruction and foreground segmentation with background noise estimation"
Official Page for ARCADE challenge for MICCAI Conference
[IEEE J-BHI] An Arbitrary Scale Super-Resolution Approach for 3D MR Images using Implicit Neural Representation
A curated list of awesome Deep Learning tutorials, projects and communities.
A collection of resources on applications of Transformers in Medical Imaging.
Official repository for "C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation"
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
In-depth tutorials for implementing deep learning models on your own with PyTorch.
A collection of various deep learning architectures, models, and tips
Extensible radiation therapy research platform and viewer for DICOM and DICOM RT
Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion
FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation (ICCV2023)
Must-read papers on graph neural networks (GNN)
A Simple pytorch implementation of GradCAM and GradCAM++
image captioning trained using COCO dataset in pytorch
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Learn hands on basics of tensorflow in a graduated level based study program
Oxford Deep NLP 2017 course
Liquid Structural State-Space Models
Code Repository for Liquid Time-Constant Networks (LTCs)
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Applied Linear Algebra
OpenMMLab Model Compression Toolbox and Benchmark.
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
Get up and running with Llama 3, Mistral, Gemma, and other large language models.
Personal short implementations of Machine Learning papers
A topic-centric list of HQ open datasets.
Kolmogorov Arnold Networks
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.