1667 Open source projects that are alternatives of or similar to Data Science Bowl 2018

Open solution to the Data Science Bowl 2018

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

Medical image preprocessing and augmentation toolkit for deep learning

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

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Tensorflow implementation : U-net and FCN with global convolution

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

BCDU-Net : Medical Image Segmentation

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"

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

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

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

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

Lung fields segmentation on CXR images using convolutional neural networks.

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Open solution to the Mapping Challenge 🌎

Code examples for new APIs of iOS 10.

unet for image segmentation

Convolutional Neural Network for 3D meshes in PyTorch

Deep Vessel Segmentation by Learning Graphical Connectivity

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

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

Diseases Detection from NIH Chest X-ray data

U-Net Brain Tumor Segmentation

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

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

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

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

RMDL: Random Multimodel Deep Learning for Classification

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Convolutional Neural Network for Human Activity Recognition in Tensorflow

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

Open solution to the Home Credit Default Risk challenge 🏡

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

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

Paper reading notes on Deep Learning and Machine Learning

food image to recipe with deep convolutional neural networks.

Building Convolutional Neural Networks From Scratch using NumPy

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Digit recognition with Convolutional Neural Networks in WebGL

Segmentation models with pretrained backbones. PyTorch.

A brand logo detection system using tensorflow object detection API.

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

The Official Deep Learning Framework for Route-based Place Recognition

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Kaggle datascience bowl 2017

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

深度学习入门教程, 优秀文章, Deep Learning Tutorial

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

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

TensorFlow and Deep Learning Tutorials

CNN visualization tool in TensorFlow

Music recommender using deep learning with Keras and TensorFlow

Multi-platform, free open source software for visualization and image computing.

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