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A curated list of resources about few-shot and one-shot learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Collection for Few-shot Learning
【干货】史上最全的PyTorch学习资源汇总
CVPR 2020 论文开源项目合集
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.
OpenMMLab FewShot Learning Toolbox and Benchmark
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Pytorch框架及实战学习
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
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.