386 Open source projects that are alternatives of or similar to Mirnet

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

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

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Fast Differentiable Forest lib with the advantages of both decision trees and neural networks

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

a simple and complete pytorch implementation of neural machine translation system

Implementation of Linformer for Pytorch

Sentiment Analysis: Deep Bi-LSTM+attention model

Bicubic interpolation for images (Python)

SRZoo: An integrated repository for super-resolution using deep learning

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

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

Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

🎬 Video Captioning: ICCV '15 paper implementation

TensorRT Examples (TensorRT, Jetson Nano, Python, C++)

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

SwinIR: Image Restoration Using Swin Transformer (official repository)

Pytorch implementation for SRDenseNet (ICCV2017)

🔖 An Attention Layer in Keras

A Real-ESRGAN model trained on a custom dataset

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

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

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

A survey of recent application of deep learning on super-resolution tasks

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

Using Residual Attention Networks to diagnose retinal diseases in medical images

Implementation of A Structured Self-attentive Sentence Embedding

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Using LSTM or Transformer to solve Image Captioning in Pytorch

Attention-Based Guided Structured Sparsity of Deep Neural Networks

Code for Paper Abstract Writing through Editing Mechanism

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

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

一些不同的Attention机制代码

attention mechanism in keras, like Dense and RNN...

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

Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

Pytorch implementation of "Dynamic Coattention Networks For Question Answering"

Implementation of Nyström Self-attention, from the paper Nyströmformer

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

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Manual, source-code and binaries for the NanoJ-Fluidics project

NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.

Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

Official repository of "Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution"

[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

PyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

Applied Deep Learning (2019 Spring) @ NTU

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"