Code is basically a pytorch implementation of DFCAN/DFGAN. All credit goes to the authors of DFCAN/DFGAN, listed in the paper“Evaluation and development of deep neural networks for image super-resolution in optical microscopy”.
☆12Feb 5, 2021Updated 5 years ago
Alternatives and similar repositories for DFCAN-pytorch
Users that are interested in DFCAN-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official Python implementation of the 'Sparse deconvolution'-v0.3.0☆56Feb 8, 2024Updated 2 years ago
- A downloadable pdf containing summary of frequently used pandas operations.☆10Sep 26, 2020Updated 5 years ago
- Image reconstruction for structured-illumination microscopy implemented in CUDA☆14Feb 17, 2016Updated 10 years ago
- Tensorflow/keras implementation for image transformation from low-resolution (LR) image to super-resolved one, including single wide-fiel…☆119Jul 5, 2022Updated 3 years ago
- The code source of MambaCSR☆27Sep 24, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Test Code for Super Resolution in MRI☆11Sep 17, 2018Updated 7 years ago
- ☆10Feb 4, 2020Updated 6 years ago
- An accurate base caller for Illumina non-patterned sequencing platforms☆14Mar 10, 2019Updated 7 years ago
- The 2025 version of cellPLATO☆16Jan 23, 2026Updated 2 months ago
- Code accompanying "Prospective identification of hematopoietic lineage choice by deep learning", Nature methods 2017, DOI:10.1038/nmeth.4…☆21Dec 18, 2025Updated 3 months ago
- Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data☆28Jan 6, 2023Updated 3 years ago
- This will show how to make autoencoders using pytorch neural networks☆17Jun 7, 2019Updated 6 years ago
- A Tensorflow implementation of rationalized deep learning (rDL) based image denoising for microscopy images☆42Oct 8, 2022Updated 3 years ago
- Official MATLAB implementation of the "SACD" -v0.2.0☆20Feb 8, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆13Dec 1, 2022Updated 3 years ago
- ☆13Nov 15, 2022Updated 3 years ago
- ☆10Jul 5, 2023Updated 2 years ago
- ☆12Jan 10, 2023Updated 3 years ago
- Multi-focus image fusion based on Laplacian pyramid.☆18Jul 20, 2023Updated 2 years ago
- Official MATLAB implementation of the "Sparse deconvolution" -v1.0.3☆100Jan 7, 2026Updated 3 months ago
- ☆13Jan 5, 2022Updated 4 years ago
- Official implementation of "Deep learning architectural designs for super-resolution of noisy images" by Villar et al. ICASSP 2021☆12Jul 20, 2023Updated 2 years ago
- [MICCAI 2023] Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection☆18Oct 12, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆13Apr 25, 2023Updated 2 years ago
- [AAAI2025] MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation☆20Jan 15, 2025Updated last year
- DeepHealth Annotate is a web-based tool for viewing and annotating DICOM images. Annotation metadata can be exported in JSON format to be…☆18Mar 4, 2026Updated last month
- ☆20Mar 5, 2022Updated 4 years ago
- ☆12Aug 6, 2019Updated 6 years ago
- Continual Learning Benchmark for Spoken Keyword Spotting☆17Jun 7, 2022Updated 3 years ago
- SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution☆23Jan 30, 2026Updated 2 months ago
- ☆52Apr 15, 2022Updated 4 years ago
- isbi2019miccan☆21Dec 27, 2019Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Implementation of the Paper Scene-Graph ViT☆10Dec 20, 2024Updated last year
- [TCybern2019] Brain MRI Super-Resolution based on Thick-Section MR Images from Two Planes.☆11Jul 19, 2023Updated 2 years ago
- A dataset for tooth structured instance segmentation of dental panoramic X-ray.☆15May 17, 2024Updated last year
- HUMUS-Net: a Transformer-convolutional Hybrid Unrolled Multi-Scale Network architecture for accelerated MRI reconstruction☆23Sep 20, 2024Updated last year
- Image Reconstruction and Restoration of Cats and Dogs Dataset using PyTorch's Torch and Torchvision Libraries☆13Oct 2, 2020Updated 5 years ago
- Proper Mask Wearing Detection and Alarm System based on Deep Learning and trained using Tensorflow/Keras☆15Sep 26, 2021Updated 4 years ago
- Digital mammography processing tools☆15Aug 3, 2021Updated 4 years ago