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Type: User
Company: SA
Bio: Machine Learning; Deep Learning; Remote Sensing
Location: NEW
Blog: NEW
Type: User
Company: SA
Bio: Machine Learning; Deep Learning; Remote Sensing
Location: NEW
Blog: NEW
Semantic segmentation models, datasets and losses implemented in PyTorch.
PyTorch for Semantic Segmentation
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
PyTorch Tutorial for Deep Learning Researchers
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An introductory tutorial for PyTorch
《Pytorch模型训练实用教程》中配套代码
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Keras implementation of https://arxiv.org/abs/1611.06612
The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.
The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.
mxnet source code for the resuneta semantic segmentation models
TensorFlow2.x implemenetation of RetinaNet
PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"
Remote Sensing and GIS Software Library; python module tools for processing spatial data.
The Sentinel-1 Toolbox
Sentinel 2 Toolbox (s2tbx)
A toolbox for the OLCI and SLSTR instruments on board of ESA's Sentinel-3 satellite
CCF BCDI2017 卫星影像的AI分类与识别
Image processing in Python
scikit-learn: machine learning in Python
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Segmentation models with pretrained backbones. PyTorch.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.