boneseva

adaptivediffgrid_ex

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ASPIRE-Python

Algorithms for Single Particle Reconstruction

bibtex-tidy

Cleaner and Formatter for BibTeX files

cryodrgn_based_tempor

data

Collecting and organising data as they come in from various sources - master tables are at https://tinyurl.com/sledilnik-gdocs

dcase-few-shot-bioacoustic

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

MidSurfer

Paraview Plugin for extracting mid-surfaces from binary segmentation masks.

UterUS

Uterus Ultrasound database

boneseva/adaptivediffgrid_ex

boneseva/annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

boneseva/ASPIRE-Python

Algorithms for Single Particle Reconstruction

boneseva/bibtex-tidy

Cleaner and Formatter for BibTeX files

boneseva/cryodrgn_based_tempor

boneseva/data

Collecting and organising data as they come in from various sources - master tables are at https://tinyurl.com/sledilnik-gdocs

boneseva/dcase-few-shot-bioacoustic

boneseva/denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

boneseva/diffusion

Denoising Diffusion Probabilistic Models

boneseva/domain_specific_cl

Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"

boneseva/DuAT

boneseva/DUCK-Net

Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )

boneseva/KiU-Net-pytorch

Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI

boneseva/LerPlane

Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

boneseva/Magistrska-nnUNet

boneseva/medical_transformers

Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"

boneseva/MedicalNet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

boneseva/MedSegDiff

Medical Image Segmentation with Diffusion Model

boneseva/MetaAudio-A-Few-Shot-Audio-Classification-Benchmark

A new comprehensive and diverse few-shot acoustic classification benchmark.

boneseva/MONAI-tutorials

MONAI Tutorials

boneseva/NeAT

boneseva/nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

boneseva/nerflow

[ICCV'21] Neural Radiance Flow for 4D View Synthesis and Video Processing

boneseva/NLP_project_2021

boneseva/pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

boneseva/seld-dcase2023

Baseline method for sound event localization task of DCASE 2023 challenge

boneseva/SoundCLR

Implementation for "SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification," in pytorch.

boneseva/surface_morphometrics

Morphometrics for Membrane Surfaces Segmented from Cryo-ET or other volumetric imaging.

boneseva/Swin-Unet

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

boneseva/topaz

Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.