835 Open source projects that are alternatives of or similar to Geo Deep Learning

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

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

Deep learning for audio denoising

2D and 3D UNet implementation in PyTorch.

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

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.

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Develop production ready deep learning code, deploy it and scale it

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

BCDU-Net : Medical Image Segmentation

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

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

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

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+

Satellite Image Classification using semantic segmentation methods in deep learning

코딩셰프의 3분 딥러닝, 케라스맛

A semantic segmentation toolbox based on PyTorch

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

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

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

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

3D U-Net model for volumetric semantic segmentation written in pytorch

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

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

Tools to Design or Visualize Architecture of Neural Network

Cell Detection with PyTorch.

tensorflow version of unet

Segmentation models with pretrained backbones. PyTorch.

The implementation of 3D-UNet using PyTorch

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

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

Tensorflow implementation : U-net and FCN with global convolution

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

This repository contains the source code of our work on designing efficient CNNs for computer vision

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.

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

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

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

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

CNN for stock market prediction using raw data & candlestick graph.

Implementation of RefineNet to perform real time instance segmentation in the browser using TensorFlow.js

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

PCN based on ncnn framework.

CNN for intent classification task in a Chatbot

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

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

🎨 🎨 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/

PSPNet in Chainer

Patch-based 3D U-Net for brain tumor segmentation

Try to use tf.estimator and tf.data together to train a cnn model.

FaceBoxes for hand detection in PyTorch

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

DeepLab-ResNet rebuilt in TensorFlow