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Codes for APEN
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Criss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
README and scripts for the Cityscapes Dataset
Dual Attention Network for Scene Segmentation (CVPR2019)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Using a model of human visual perception to improve deep learning
homura is a library for fast prototyping DL research
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`
MyBatis SQL mapper framework for Java
Implementation of Non-local Block.
Alibaba Java Coding Guidelines pmd implements and IDE plugin
Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
A Pytorch-based library for the simulation of rate-encoded deep spiking neural networks.
《Pytorch模型训练实用教程》中配套代码
Generative model of RGC - tensorflow
A model of the densities of cell classes found in the ganglion cell layer of the human retina
PyTorch implementation of SENet
try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
A python implementation of a spiking neural network with STDP and Reinforcement learning methods
Implementation of spatial transformer networks (STNs) in keras 2 with tensorflow as backend.
UC-Net: Uncertainty Inspired RGB-D Saliency Detectionvia Conditional Variational Autoencoders, CVPR2020
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.