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3D ResNets for Action Recognition (CVPR 2018)
算法/数据结构/Python/剑指offer/机器学习/leetcode
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
Dual Attention Network for Scene Segmentation
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
DenseASPP for Semantic Segmentation in Street Scenes
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.
Semi-supervised GAN in "Improved Techniques for Training GANs"
Light-Weight RefineNet for Real-Time Semantic Segmentation
mnist classification with tensorflow ( nn, cnn, lstm, nlstm, bi-lstm, cnn-rnn)
Models and examples built with TensorFlow
A Julia package for handling the Next Generation Simulation (NGSIM) traffic dataset
An implementation of PSPNet in tensorflow, see tutorial at:
A CV Toolkit
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
Pytorch Implementation of Refinenet
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
PyTorch Implementation for ResNet, Pre-Activation ResNet, ResNeXt, DenseNet, and Group Normalisation
Reproduces ResNet-V3 with pytorch
There is the semi-supervised implement of 'Improved Techniques for Training GANs '
PyTorch implementation of SENet
Tensorflow tutorial from basic to hard
机器学习相关教程
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🖖 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.