aralas Goto Github PK

aralas.github.io

axelrod-notebooks

A repository of example Jupyter notebooks

bagging_training

co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

cross-reference_network

We propose a cross-reference framework to train neural networks on dataset with noisy labels.

dcgan_plus_encoder

generation-based-adversarial-sample

google-pinyin-kaomoji

谷歌拼音输入法自定义颜文字保存

gzhu-report-latex-version

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🎈

icassp19

Public repository for the paper "Learning Sound Event Classifiers from Web Audio with Noisy Labels"

jointoptimization

Joint Optimization Framework for Learning with Noisy Labels

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

keras-gan

Keras implementations of Generative Adversarial Networks.

label_noise_correction

Implementation of paper: Making Deep Neural Network Robust to Label Noise: a Loss Correction Approach.

labelnoisecorrection

Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction

latex-template-cn

\LaTeX 中文模版收集。

phase_retrieval

Implement Phase Retrieval

ppack

Python 3 version of the MATLAB Phasepack Library

pu-distillation-noisy-label

pu_distillation_noisy_label

Use PU learning to augment data and distillation model to solve classification problem on noisy dataset

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

resnext-in-tensorflow

This is an implementation of ResNeXt (by Xie et al.) in tensorflow

self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

self-attention-gan-tensorflow

Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)

tf_cookbook

《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）

vae-cvae-mnist

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch