bhupender-kaushal

AdaDiff

Official PyTorch implementation of AdaDiff described in the paper (https://arxiv.org/abs/2207.05876).

AE-NE

Original implementation of the model AE-NE described in the paper " Autoencoder-based background reconstruction and foreground segmentation with background noise estimation"

ARCADE

Official Page for ARCADE challenge for MICCAI Conference

ArSSR

[IEEE J-BHI] An Arbitrary Scale Super-Resolution Approach for 3D MR Images using Implicit Neural Representation

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

CDARL

Official repository for "C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation"

dicompyler

Extensible radiation therapy research platform and viewer for DICOM and DICOM RT

image_captioning1

image captioning trained using COCO dataset in pytorch

liquid-s4

Liquid Structural State-Space Models

bhupender-kaushal/liquid-s4

Liquid Structural State-Space Models

bhupender-kaushal/AdaDiff

Official PyTorch implementation of AdaDiff described in the paper (https://arxiv.org/abs/2207.05876).

bhupender-kaushal/AE-NE

Original implementation of the model AE-NE described in the paper " Autoencoder-based background reconstruction and foreground segmentation with background noise estimation"

bhupender-kaushal/ARCADE

Official Page for ARCADE challenge for MICCAI Conference

bhupender-kaushal/ArSSR

[IEEE J-BHI] An Arbitrary Scale Super-Resolution Approach for 3D MR Images using Implicit Neural Representation

bhupender-kaushal/awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

bhupender-kaushal/CDARL

Official repository for "C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation"

bhupender-kaushal/DALLE2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

bhupender-kaushal/deeplearning-models

A collection of various deep learning architectures, models, and tips

bhupender-kaushal/Diffusion-GAN

Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion

bhupender-kaushal/FreeCOS

FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation (ICCV2023)

bhupender-kaushal/GNNPapers

Must-read papers on graph neural networks (GNN)

bhupender-kaushal/learn-to-tensorflow

Learn hands on basics of tensorflow in a graduated level based study program

bhupender-kaushal/machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

bhupender-kaushal/MATH307

Applied Linear Algebra

bhupender-kaushal/mmrazor

OpenMMLab Model Compression Toolbox and Benchmark.

bhupender-kaushal/MTANet

bhupender-kaushal/ncps

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

bhupender-kaushal/ollama

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

bhupender-kaushal/PapersReimplementations

Personal short implementations of Machine Learning papers

bhupender-kaushal/public-datasets

A topic-centric list of HQ open datasets.

bhupender-kaushal/pykan

Kolmogorov Arnold Networks

bhupender-kaushal/pytorchBest

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

bhupender-kaushal/pytorchTutorial

PyTorch Tutorials from my YouTube channel

bhupender-kaushal/SegLossOdyssey

A collection of loss functions for medical image segmentation

bhupender-kaushal/SemiSupervision

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

bhupender-kaushal/semivl

Official Implementation of SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance

bhupender-kaushal/StyleSpace

StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

bhupender-kaushal/uvcgan

Code accompanying UVCGAN paper

bhupender-kaushal/vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.