398 Open source projects that are alternatives of or similar to Espcn

MODS with external deep descriptors/detectors

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

A small convolution neural network deep learning framework implemented in c++.

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

Comparison of famous convolutional neural network models

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

CNN for Chinese Text Classification in Tensorflow

Implementation of CNNs, RNNs, and many deep learning techniques in plain Numpy.

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

YOLO for object detection tasks

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

licence plate detection and recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.

使用tensorflow和cnn做的图像识别，对四种花进行了分类。

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

A modern PyTorch implementation of SRGAN

Hierarchical Attention Networks for document classification

📚 嵌入式系统基础知识与主流编程语言相关内容总结

Visualizer for Deep Neural Networks

CNN acceleration on virtex-7 FPGA with verilog HDL

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

stock predict by cnn and lstm

Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/

Kervolution Library in PyTorch (CVPR 2019 Oral)

Densely Connected Pyramid Dehazing Network (CVPR'2018)

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

A deep learning library to provide algs in pure Numpy or Tensorflow.

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

YOLO for object detection tasks

Finetune ConvNets with Tensorflow

A Keras implementation of MobileNetV2.

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

Code examples for new APIs of iOS 10.

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

The Convolutional Neural Network(CNN) for Android

嵌入Word2vec词向量的CNN中文文本分类

Efficient, transparent deep learning in hundreds of lines of code.

Keras implementation of a ResNet-CAM model

Impementation of MobileNetV2 in pytorch

Audio steganalysis with tensorflow.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】

Semantic JPEG image compression using deep convolutional neural network (CNN)

Image Captioning using InceptionV3 and beam search

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

This repository contains the source code of our work on designing efficient CNNs for computer vision

Video Classification using 2 stream CNN

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream