1987 Open source projects that are alternatives of or similar to Livianet

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Deep Learning Toolkit for Medical Image Analysis

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

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)

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

U-Net: Convolutional Networks for Biomedical Image Segmentation

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

Keras tutorial for beginners (using TF backend)

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

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

CNN visualization tool in TensorFlow

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

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

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

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

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

PyTorch tutorial for learners

The Official Deep Learning Framework for Route-based Place Recognition

A High-Quality Real Time Upscaler for Anime Video

DLTK Model Zoo

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

Deep learning codes and projects using Python

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

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

RMDL: Random Multimodel Deep Learning for Classification

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

Medical image preprocessing and augmentation toolkit for deep learning

Implementation of Quickdraw - an online game developed by Google

TensorFlow and Deep Learning Tutorials

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

Object classification with CIFAR-10 using transfer learning

deeplearning.ai , By Andrew Ng, All video link

Visualisations for Convolutional Neural Networks in Pytorch

convolutional lstm implementation in pytorch

PyTorch implementation of LeNet-5 with live visualization

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

🎨 🎨 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/

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

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

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

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

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

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

Cifar-10 CNN implementation using TensorFlow library with 20% error.

Awesome list of software that I use to do research in medical imaging.

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

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

Breast Cancer Classification using CNN and transfer learning

Official Implementation of 'Fast AutoAugment' in PyTorch.

High-quality Neural Networks for Computer Vision 😎

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

Deep Learning in Haskell

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Sarcasm detection on tweets using neural network

Top 200 deep learning Github repositories sorted by the number of stars.

Datasets, tools, and benchmarks for representation learning of code.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.