439 Open source projects that are alternatives of or similar to Tensorflow Fcn

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

Evaluation framework for testing segmentation networks in Keras

Medical image preprocessing and augmentation toolkit for deep learning

Add bisenetv2. My implementation of BiSeNet

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

Slicer extensions index

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

PyTorch Connectomics: segmentation toolbox for EM connectomics

Trainable models and NN optimization tools

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Sources for the ITKSoftwareGuide.

本代码加入了神经风格迁移中文注释，更易理解，同时新加入begin.py可直接运行调试。

End-to-end, automatic face swapping pipeline

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.

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

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Pytorch implementation of convolutional neural network visualization techniques

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

A lean C++ library for working with point cloud data

PyTorch extensions for fast R&D prototyping and Kaggle farming

A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.

Deep Vessel Segmentation by Learning Graphical Connectivity

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

一个纯php分词

Deep face segmentation in extremely hard conditions

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

Framework for medical image segmentation using deep neural networks

Generalized Data-free Universal Adversarial Perturbations

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

DeeplabV2 segmentation in Keras.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

High level network definitions with pre-trained weights in TensorFlow

SOTA medical image segmentation methods based on various challenges

Switchable Normalization for semantic image segmentation and scene parsing.

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

Segment Source Distribution

xmnlp：提供中文分词, 词性标注, 命名体识别，情感分析，文本纠错，文本转拼音，文本摘要，偏旁部首等功能

3D Unet Equipped with Advanced Deep Learning Methods

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.)

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

A procedural Blender pipeline for photorealistic training image generation

Convolutional Neural Network for 3D meshes in PyTorch

Self-contained Japanese Morphological Analyzer written in pure Go

A Kitti Road Segmentation model implemented in tensorflow.

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

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

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

An implementation of morphological contour interpolation

Intel / AMD CPU Internals

💨Making communication📞easier and faster🚅for all 👦 + 👧 + 👴 + 👶 + 🐮 + 🐦 + 🐱

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

Catalyst.Segmentation

The U-Net Segmentation plugin for Fiji (ImageJ)

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

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

TFslim based semantic segmentation models, modular&extensible boutique design