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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

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

diffusion

Denoising Diffusion Probabilistic Models

domain_specific_cl

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

duat

duck-net

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

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

kiu-net-pytorch

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

lerplane

Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

magistrska-nnunet

medical_transformers

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

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.

medsegdiff

Medical Image Segmentation with Diffusion Model

metaaudio-a-few-shot-audio-classification-benchmark

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

monai-tutorials

MONAI Tutorials

neat

nerf-pytorch

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

nerflow

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

nlp_project_2021

pytorch-3dunet

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

seld-dcase2023

Baseline method for sound event localization task of DCASE 2023 challenge

simclr

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

soundclr

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

spacetimetomography

This is the open source repository for SIGGRAPH 2018 paper "Space-time Tomography for Continuously Deforming Objects". https://vccimaging.org/Publications/Zang2018Space-time/