Super Resolution datasets and models in Pytorch
☆211Dec 23, 2023Updated 2 years ago
Alternatives and similar repositories for torchSR
Users that are interested in torchSR are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch☆44Apr 14, 2021Updated 5 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆43Aug 25, 2023Updated 3 years ago
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆29Dec 8, 2022Updated 3 years ago
- My implementation of DeepMind's Perceiver☆65Apr 23, 2021Updated 5 years ago
- Lightweight Cluster/Cloud VM Job Management 🚀☆44Aug 27, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- GAN models implemented with Pytorch Lightning and Hydra configuration☆33Jun 5, 2022Updated 4 years ago
- Collection of machine learning research paper references☆27Jul 16, 2026Updated 2 months ago
- Open-source Library of Image Super-Resolution Models, Datasets, and Metrics for Benchmarking or Pretrained Use☆87Sep 3, 2021Updated 5 years ago
- Lightweight ML Experiment Logging 📖☆83Aug 26, 2024Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆46Aug 19, 2023Updated 3 years ago
- Super-Resolution models implemented in PyTorch Lightning☆22Aug 4, 2023Updated 3 years ago
- Estimating Example Difficulty using Variance of Gradients☆67Jan 10, 2023Updated 3 years ago
- ☆12Jun 18, 2021Updated 5 years ago
- ☆112Jul 30, 2026Updated last month
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- (K3IM) Keras 3 Image Models☆20Sep 19, 2026Updated last week
- Official TensorFlow-based implementation of adversarial attack for super-resolution models☆18Mar 22, 2021Updated 5 years ago
- Trains Transformer model variants. Data isn't shuffled between batches.☆145Oct 5, 2022Updated 3 years ago
- ☆254Dec 27, 2022Updated 3 years ago
- Official Pytorch implementation of 'GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network' (NeurIPS 2020)☆76Feb 23, 2023Updated 3 years ago
- ☆100Dec 8, 2021Updated 4 years ago
- A Python library for mathematical optimization☆142Sep 27, 2024Updated 2 years ago
- PyTorch implements `Image Super-Resolution Using Very Deep Residual Channel Attention Networks` paper.☆15Dec 6, 2022Updated 3 years ago
- PyTorch implementation of efficient image super-resolution models, e.g. SRCNN, ESPCN, FSRCNN, DRCN, VDSR, DRRN, EDSR, LapSRN, IDN, CARN e…☆21Mar 12, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A simple and complete implementation of super-resolution paper.☆483Jul 23, 2026Updated 2 months ago
- ☆133Dec 21, 2021Updated 4 years ago
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution☆708Jul 18, 2024Updated 2 years ago
- Example codes for the book Applied Stochastic Differential Equations☆215Oct 27, 2025Updated 11 months ago
- Official code Cross-Covariance Image Transformer (XCiT)☆681Sep 28, 2021Updated 5 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆307Jan 9, 2021Updated 5 years ago
- Discrete wavelet transform layers with fixed and trainable wavelets☆22Nov 27, 2022Updated 3 years ago
- Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR☆3,524Oct 2, 2024Updated last year
- Implementing DropPath/StochasticDepth in PyTorch☆18Feb 5, 2022Updated 4 years ago
- 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.
- My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Comput…☆135Apr 4, 2021Updated 5 years ago
- Large Kernel Distillation Network for Efficient Single Image Super-Resolution☆41Oct 6, 2023Updated 2 years ago
- ☆390Oct 18, 2023Updated 2 years ago
- Customized implementation of the U-Net in PyTorch for super-resolving hyper-low-field MRI images.☆20Apr 5, 2023Updated 3 years ago
- RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…☆261Mar 2, 2023Updated 3 years ago
- PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)☆2,630Jan 3, 2023Updated 3 years ago
- ☆14Jul 2, 2019Updated 7 years ago