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A wizard's guide to Adversarial Autoencoders
Torch implementations of various types of autoencoders
经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
A topic-centric list of HQ open datasets. PR ☛☛☛
《剑指Offer》第二版源代码(Clone from: https://github.com/zhedahht/CodingInterviewChinese2)
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18个章节,近30万字。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
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
The code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.
A flexible, effective and fast cross-view gait recognition network
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Matching Networks for one shot learning
This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
Tools for generating mini-ImageNet dataset and processing batches
A Neural Network implemented from scratch (using only numpy) in Python.
Omniglot data set for one-shot learning
A PyTorch implementation of "Siamese Neural Networks for One-shot Image Recognition".
Windows system utilities to maximize productivity
pytorch structural similarity (SSIM) loss
Build your neural network easy and fast
A PyTorch Implementation of "Recurrent Models of Visual Attention"
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Implementation of WACV2019 paper "Power Normalizing Second-order Similarity Network for Few-shot Learning"
Basic soft-margin kernel SVM implementation in Python
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
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.