ashesh's repositories
AccClearQPN
Official code for "Accurate and Clear Quantitative Precipitation Nowcasting Based on a Deep Learning Model with Consecutive Attention and Rain-Map Discrimination" paper.
01_intro_mldl
Intro exercise for ML and DL...
BMVCTemplate
Paper template and author instructions for BMVC
careamics
A deep-learning library for N2V and friends
Cuseq
C++ implementation of useq python package.
Deep-adversarial-decomposition
Pytorch implementation of the paper: "A Unified Framework for Separating Superimposed Images", in CVPR 2020.
FourierImageTransformer
Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.
image-restoration-sde
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Runner-up method in NTIRE Image Shadow Removal Challenge, CVPRW 2023.
Jalpc
🍎Jalpc -- A flexible Jekyll theme, 3 steps to build your website.
micro-manager
Microscope control and image acquisition integrated with ImageJ
minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
mmCoreAndDevices
Micro-Manager's device control layer, written in C++
n2v
This is the implementation of Noise2Void training.
ncsn
Noise Conditional Score Networks (NeurIPS 2019, Oral)
NWPU-Crowd-Sample-Code
The sample code for a large-scale crowd counting dataset, NWPU-Crowd.
PdfFromImages
Converts list of 2 page images into pdf whose one page contains one page of the book.
PPN2V
Code Implementation for the publication "Fully Unsupervised Probabilistic Noise2Void"
pycro-manager
Python control of micro-manager for customized data acquisition
pymmcore
Python bindings for MMCore, Micro-Manager's device control layer
pymmcore-plus
A convenience layer on pymmcore (micro-manager) providing improved python UX and event management
PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
rt_gene
RT-GENE: Real-Time Eye Gaze and Blink Estimation in Natural Environments
score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
vae_vampprior
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
vdvae
Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"