2187 Open source projects that are alternatives of or similar to Hyperdensenet

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"

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

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

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

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

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

convolutional lstm implementation in pytorch

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Segmentation models with pretrained backbones. PyTorch.

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

Keras tutorial for beginners (using TF backend)

Various CNN models for CIFAR10 with Chainer

A High-Quality Real Time Upscaler for Anime Video

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Medical image preprocessing and augmentation toolkit for deep learning

PyTorch tutorial for learners

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

Implementation of a hierarchical CNN based model to detect Big Five personality traits

RMDL: Random Multimodel Deep Learning for Classification

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

PyTorch implementation of LeNet-5 with live visualization

Implementation of Quickdraw - an online game developed by Google

The Official Deep Learning Framework for Route-based Place Recognition

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

TensorFlow and Deep Learning Tutorials

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Deep Learning Toolkit for Medical Image Analysis

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

Deep learning codes and projects using Python

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

deeplearning.ai , By Andrew Ng, All video link

Visualisations for Convolutional Neural Networks in Pytorch

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

All DeepLearning4j projects go here.

Code for the Lovász-Softmax loss (CVPR 2018)

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

Gluon to PyTorch deep neural network model converter

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

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

📢 Ready to learn or review your knowledge!

Deep Neural Network Sandbox for JavaScript.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

A collection of Natural language processing pre-trained models.

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

Speech Recognition model based off of FAIR research paper built using Pytorch.

3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

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.

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks