6313 Open source projects that are alternatives of or similar to Fcn.tensorflow

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.

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

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.

An awesome semantic segmentation model that runs in real time

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

Get started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

a generalist algorithm for cellular segmentation

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

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Kaggle Segmentation Challenge

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

Tensorflow implementation : U-net and FCN with global convolution

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

PyTorch Connectomics: segmentation toolbox for EM connectomics

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

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).

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

A PyTorch implementation of PointRend: Image Segmentation as Rendering

TFslim based semantic segmentation models, modular&extensible boutique design

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

A Kitti Road Segmentation model implemented in tensorflow.

The code includes all the file that you need in the training stage for FCN

Dstl Satellite Imagery Feature Detection

FSGAN - Official PyTorch Implementation

Kaggle airbus ship detection challenge 21st solution

hair segmentation in mobile device

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

unet for image segmentation

Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

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

Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington

Pangeo Example Notebooks

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

记录自己深度学习之路的点滴

This is the code for "Quantum Machine Learning LIVE" By Siraj Raval on Youtube

DS-GA-1011 Natural Language Processing with Representation Learning

Keyword extraction using TextRank algorithm after pre-processing the text with lemmatization, filtering unwanted parts-of-speech and other techniques.

Experimenting with and teaching probabilistic programming

🎹 symbolic musical datasets

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

A tool to predict the depth field of a 2-dimensional image

This is the code notebook for the blog post on using Python and Auto ARIMA

SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos

Peregrine: Fast Genome Assembler Using SHIMMER Index

Tools for using computer algebra systems to solve math problems step-by-step with reinforcement learning

This is the code for "Logistic Regression" By Siraj Raval on Youtube

Tensorflow Object Detector

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

Tools and tutorials of pose estimation and deep learning

ACM SIGCHI 2019 Course on Bayesian Methods for Interaction