559 Open source projects that are alternatives of or similar to Tf.keras Commonly Used Models

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

Neural networks training pipeline based on PyTorch

Segmentation models with pretrained backbones. PyTorch.

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Test Time image Augmentation (TTA) wrapper for Keras model.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

High-performance Vision library in Python. Scale your research, not boilerplate.

PyTorch extensions for fast R&D prototyping and Kaggle farming

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

Implementation of Uformer, Attention-based Unet, in Pytorch

A PyTorch collection of semantic segmentation tools.

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

keras implementation of unet plus plus

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

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

A simple image dataset EDA tool (CLI / Code)

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

End-to-end image segmentation kit based on PaddlePaddle.

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

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

Accelerated deep learning R&D

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

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

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.

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

Official code for ResUNetplusplus for medical image segmentation (TensorFlow implementation) (IEEE ISM)

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Open solution to the TGS Salt Identification Challenge

PyTorch implementation of UNet++ (Nested U-Net).

Lung segmentation for chest X-Ray images

Medical image processing in Python

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

Tensorflow implement of U-Net

《深度学习与计算机视觉》配套代码

20x Real-time superpixel SLIC Implementation with CPU

Deep Learning: Image classification, feature visualization and transfer learning with Keras

🙄 Difficult algorithm, Simple code.

Sky area detection without deep neural networks https://maybeshewill-cv.github.io/sky-detector/

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

SegNet-like network implemented in TensorFlow to use for segmenting aerial images

Object Recognition using TensorFlow and Java

图像分割算法deeplab_v3+，基于tensorflow，中文注释，摄像头可用

Deploying Keras models using TensorFlow Serving and Flask

Image Tampering Detection using ELA and CNN

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Deep learning applied to georeferenced datasets

Pytorch implementation of pix2pix for various datasets.

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Tensorflow implementation : U-net and FCN with global convolution

📚 A collection of papers about Referring Image Segmentation.