780 Open source projects that are alternatives of or similar to Simple_cnn

Code examples for new APIs of iOS 10.

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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

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

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food image to recipe with deep convolutional neural networks.

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This toolbox is support material for the book on CNN (http://www.convolution.network).

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Convolutional Neural Network for German Traffic Sign Recognition Benchmark

The Official Deep Learning Framework for Route-based Place Recognition

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

Object classification with CIFAR-10 using transfer learning

Deep learning codes and projects using Python

convolutional lstm implementation in pytorch

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CNN image style transfer 🎨.

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

CNN for Chinese Text Classification in Tensorflow

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

A modern PyTorch implementation of SRGAN

A High-Quality Real Time Upscaler for Anime Video

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A light-weight, power efficient, and general purpose convolutional neural network

CNN image classifier implemented in Keras Notebook 🖼️.

RMDL: Random Multimodel Deep Learning for Classification

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Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

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A specially designed light version of Fast AutoAugment

TensorFlow Implementation of state-of-the-art models since 2012

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

CNN visualization tool in TensorFlow

Visualisations for Convolutional Neural Networks in Pytorch

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

SincNet is a neural architecture for efficiently processing raw audio samples.

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

PyTorch tutorial for learners

PyTorch implementation of LeNet-5 with live visualization

Official Implementation of 'Fast AutoAugment' in PyTorch.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

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This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"