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-bicaps-dbp-proteomic_project

The source code of BiCaps-DBP

3dfasterrcnn_lungnoduledetector

a-benchmark-for-studying-ocular-toxoplasmosis

bioinformatics_bsc

brainstormts

My paper

code_base_cardioxnet

complex-neural-networks

Implementation of Complex Valued Neural Networks in Pytorch 🧠

cwtlayerkeras

tensorflow 2.4 keras layer that compute cwt(continuous wavelet transformation) on signals

deepcomplexunetpytorch

Implementation of Deep Complex UNet Using PyTorch

deit

Official DeiT repository

dtln

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

e6040-super-resolution-project

eegdenoisenet

EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.

fastmri-reproducible-benchmark

Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.

flutter_app

github-slideshow

A robot powered training repository :robot:

heart-sound-segmentation

In this project, first task was to locate the sounds particular to a heart within the audio data and then segment the audio files on the basis of the two sounds. This segmentation is very helpful in detection of the Cardiovascular Diseases (CVDs).

hifigan-denoiser

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

hybrid-cs-model-mri

Hybrid k-space/image domain, W-net, model for compressed sensing magnetic resonance reconstruction.

image_processing_on_matlab

inception-inceptionresnet-seinception-seinceptionresnet-1d-2d-tensorflow-keras

Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)

learning_git

learning_pytorch

loss_function

lu-net-heart_sound_denoising-

lu-net-hs_denoising-

lu-net_hs_denoising

luna16_multi_size_3dcnn

An implement of paper "Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection"

lung-nodule-detection-luna-16

Lung nodule detection- LUNA 16

lung-nodules

Application of a real-time object detector - YOLO to detect lung nodules. The proposed model provides a second opinion to radiologists when analyzing CT scans, aiming to localize small nodules and identify lung cancer in its early stage when the cancer is most treatable.