784 Open source projects that are alternatives of or similar to Seranet

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

Various CNN models for CIFAR10 with Chainer

PSPNet in Chainer

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Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

A modern PyTorch implementation of SRGAN

A High-Quality Real Time Upscaler for Anime Video

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

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

A tensorflow implementation for EEGLearn

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

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

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Implementation of SSD (Single Shot MultiBox Detector) using Chainer

Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".

Vehicle make and model classification in Tensorflow by fine-tuning VGG16

Robust freeform surface modeling from user 2d sketches.

FeatherCNN is a high performance inference engine for convolutional neural networks.

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

torch implementation of srgan

☁️Lsky Pro - Your photo album on the cloud.

Semantic segmentation on iPhone using ESPNetv2

💮 amazing QRCode generator in Python (supporting animated gif) - Python amazing 二维码生成器（支持 gif 动态图片二维码）

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Keras implementation of a CNN network for age and gender estimation

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Turn Your Videos/photos/Gif into Art

A Chainer implementation of VQ-VAE.

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Generating proportional fonts with deep learning

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Diabetic retinopathy screening w/ Tensorflow.

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

Visualisations for Convolutional Neural Networks in Pytorch

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

ConvNets for Audio Recognition using Google Commands Dataset

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implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

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WaveNet implementation with chainer

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

CNN 1D vs 2D audio classification

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Depth estimation with neural network, and learning on RGBD images

Sign Language Recognition for Deaf People

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.