300 Open source projects that are alternatives of or similar to Gpufit

CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation

CUDA integration for Python, plus shiny features

Image Upscaling in Javascript. Increase image resolution up to 4x using Tensorflow.js.

OpenMMLab Image and Video Editing Toolbox

A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

A Python implementation of RAISR

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution

Learn OpenCL step by step.

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

Official repository of JSI-GAN (Accepted at AAAI 2020).

A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction

How fast can we brute force a 64-bit comparison?

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

Vahana VR & VideoStitch Studio: software to create immersive 360° VR video, live and in post-production

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

18.337 - Parallel Computing and Scientific Machine Learning

Experimental implementation of OpenCL on Vulkan

Scale-wise Convolution for Image Restoration

A Python Library for Genetic Algorithm on OpenCL

A Pytorch implemented Deep SR-ITM (ICCV2019)

A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision

A high performance anime upscaler

Resource scheduling and cluster management for AI

Benchmark and resources for single super-resolution algorithms

GPGPU microprocessor architecture

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.

LuxCore source repository

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.

Fast Neural Machine Translation in C++ - development repository

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

GPU-accelerated Deep Learning on Windows 10 native

Heterogeneous programming in Julia

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

Plug-and-Play Image Restoration with Deep Denoiser Prior (PyTorch)

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

The py version of toflow → https://github.com/anchen1011/toflow

Particle-in-Cell Simulations for the Exascale Era ✨

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

Image Super-Resolution for Anime-Style Art

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Super Resolution of picture images using deep learning

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

Frame-Recurrent Video Super-Resolution (official repository)

LLVM backend for Accelerate

torch implementation of srgan

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.