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A repository of example Jupyter notebooks
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
We propose a cross-reference framework to train neural networks on dataset with noisy labels.
谷歌拼音输入法自定义颜文字保存
我自己制作的广州大学Latex报告模板,有毕业设计,课程设计,毕业论文,等等🎈
Public repository for the paper "Learning Sound Event Classifiers from Web Audio with Noisy Labels"
Joint Optimization Framework for Learning with Noisy Labels
Keras implementation of Deep Convolutional Generative Adversarial Networks
Keras implementations of Generative Adversarial Networks.
Implementation of paper: Making Deep Neural Network Robust to Label Noise: a Loss Correction Approach.
Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction
\LaTeX 中文模版收集。
Implement Phase Retrieval
Python 3 version of the MATLAB Phasepack Library
Use PU learning to augment data and distillation model to solve classification problem on noisy dataset
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
This is an implementation of ResNeXt (by Xie et al.) in tensorflow
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)
《Tensorflow机器学习实战指南》自我学习代码,校正代码bug和书籍翻译中的错误,增加中文注释。(未完成,持续更新)
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
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.