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ai4life_mdc24

Submission for AI4Life MDC24 Challenge

baikal

Unpaired denoising of fluorescence microscopy images using Diffusion Models

crf_cell_id

Automatic annotation of cell identities in dense cellular images.

cutgan_easy_tensorflow

Native TensorFlow API implementation of CutGAN paper (https://arxiv.org/abs/2007.15651). This implementation may be easier to understand for beginners.

generative_models

exploring several ways of training generative models

niddl

Deep denoising pushes the limit of functional data acquisition by recovering high SNR calcium traces from low SNR videos acquired using low laser power or smaller exposure time. Thus deep denoising enables faster and longer volumetric recordings.

shiveshc.github.io

singan_easy_tensorflow

Native TensorFlow API implementation of SinGAN paper (https://arxiv.org/pdf/1905.01164.pdf). This implementation may be easier to understand for beginners.

stpaint

Diffusion model based enhancement of spatial transcriptomics dataset

vit_easy_tensorflow

Native TensorFlow API implementation of Vision Transformer paper (https://arxiv.org/pdf/2010.11929.pdf). This implementation may be easier to understand for beginners.