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

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

Toy CPU and GPU implementations of the Slug rendering algorithm

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

VDSR (CVPR2016) pytorch implementation

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

GPGPU Javascript library 🐸

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

List of Deep Learning Cloud Providers

CUDA integration for Python, plus shiny features

Blender Integration for LuxCore

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

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020

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.

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

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

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

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

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

Learn OpenCL step by step.

SwinIR: Image Restoration Using Swin Transformer (official repository)

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.

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

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

A Real-ESRGAN model trained on a custom dataset

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

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)

qihoo360 xlearning with GPU support; AI on Hadoop

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

Experimental parallel compression algorithm

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

Bicubic interpolation for images (Python)

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

Fork of CUDA GPU memtest 👓

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

Python wrapper for MFEM

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

Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

Real-World Super-Resolution via Kernel Estimation and Noise Injection

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

Trying to replicate what this legend did: https://youtu.be/kCGHXlLR3l8

18.337 - Parallel Computing and Scientific Machine Learning

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Experimental implementation of OpenCL on Vulkan

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

Scale-wise Convolution for Image Restoration

A Python Library for Genetic Algorithm on OpenCL

Thin C++-flavored wrappers for the CUDA Runtime API

Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Some basic programming tutorials

A Pytorch implemented Deep SR-ITM (ICCV2019)

Video super resolution implemented in Pytorch

Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group