neelu5 Goto Github PK

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"

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.

cdarl

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

dalle2-pytorch

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

deep-tutorials-for-pytorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

deeplearning-models

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

dicompyler

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

diffusion-gan

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

image_captioning1

image captioning trained using COCO dataset in pytorch

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

learn-to-tensorflow

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

lectures-nlp

Oxford Deep NLP 2017 course

liquid-s4

Liquid Structural State-Space Models

liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

machine_learning_refined

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

math307

Applied Linear Algebra

mmrazor

OpenMMLab Model Compression Toolbox and Benchmark.

ncps

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

papersreimplementations

Personal short implementations of Machine Learning papers

public-datasets

A topic-centric list of HQ open datasets.

pytorch-transfer-learning-of-vgg19-for-cifar-10-dataset

pytorchbest

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

pytorchtutorial

PyTorch Tutorials from my YouTube channel

semisupervision

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

uvcgan

Code accompanying UVCGAN paper

vissl

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