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Attention-based Context Aggregation Network for Monocular Depth Estimation
Three-Dimensional Implicit Structural Modeling Using Convolutional Neural Network
Implementations of Dijkstra's shortest path algorithm in different languages
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
Official TensorFlow\Keras implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. PyTorch supprot Coming soon.
Codes and data for the paper: M. Alfarraj, and G. AlRegib, "Semi-Supervised Sequence Modeling for Elastic Impedance Inversion," in Interpretation, Aug. 2019
Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)
Simple reference implementation of GraphSAGE.
Projects for inversion theory
The Mines Java Toolkit
Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
ModelArts-Lab是示例代码库。更多AI开发学习交流信息,请访问华为云AI开发者社区:huaweicloud.ai
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
Automatic fault interpretation with optimal surface voting
Latex code for making neural networks diagrams
pytorch implemention of trajGRU.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
A clean and readable Pytorch implementation of CycleGAN
DeepLab v3+ model in PyTorch. Support different backbones.
pytorch structural similarity (SSIM) loss
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Projects for Seismic Migration
StyleGAN2 - Official TensorFlow Implementation
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
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.