AtharvRN

MM-Retinal

RETFound_Green

plan_simp

generative_oct

DANN

pytorch implementation of Domain-Adversarial Training of Neural Networks

Unsupervised-Domain-Adaptation

Empirical evaluation and analysis of state-of-the-art methods for unsupervised domain adaptation on OFFICE-31 dataset, a benchmark dataset for visual domain adaptation.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

3D-Speaker

A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization

beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

MAE_GAN

Masked Autoencoder meets GANs

cosmic-conn

Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit

RETFound_MAE

RETFound - A foundation model for retinal image

NeuralPlda

Implementation of Neural PLDA (NPLDA) model (A discriminative backend for Speaker Verification)

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

deepCR

Deep Learning Based Cosmic Ray Removal for Astronomical Images

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Deep-Learning-based-Channel-Estimation--OFDM

CNN based architecture for Channel State Estimation in OFDM Systems

mildlyoverfitted

Paper implementations from scratch and machine learning tutorials

TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

inceptionnext

InceptionNeXt: When Inception Meets ConvNeXt (CVPR 2024)

code-samples

Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.

LACNN

[TMI 2019] Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification

SupCon_OCT_Clinical

Attention-Augmented-Cosmic-Ray-Detection-in-Astronomical-Images

linux

Linux kernel source tree

CIL_and_CVXPY

KAIR

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

FFDNet

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

DnCNN-PyTorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

phase-video

Python (incomplete) re-implementation of SIGGRAPH 2013 paper “Phase based video motion processing”.