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⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction
A PyTorch implementation of the Transformer model in "Attention is All You Need".
resources for graph convolutional networks (图卷积神经网络相关资源)
Collect papers about graph
Keras implementation of BERT with pre-trained weights
Taxi Origin-Destination Demand Prediction
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
这是一个deeplabv3-plus-pytorch的源码,可以用于训练自己的模型。
本专栏我将使用谷歌TensorFlow2.0框架逐一复现经典的卷积神经网络:LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列,以及现在比较流行的:RCNN系列、SSD、YOLO系列等。
深度学习入门的一些简单例子
Facebook AI Research Sequence-to-Sequence Toolkit
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
NLP made easy
Representation learning on large graphs using stochastic graph convolutions.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Caffe Implementation of Google's MobileNets (v1 and v2)
R-FCN with joint training and python support
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Code snippets of ST-ResNet by PyTorch
paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>
AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
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.