zylprivate

AI-Surveys

整理AI相关领域的一些综述

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

Awesome-of-Long-Tailed-Recognition

A curated list of long-tailed recognition resources.

C2D

PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

clash_for_windows_pkg

A Windows GUI based on Clash

ClashForAndroid

A rule-based tunnel for Android.

Class-Imbalance

Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

deep_learning_with_noisy_labels_literature

This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.

DeepLearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

domain

file_transport

handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

LabelNoiseCorrection

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

loss-correction

Robust loss functions for deep neural networks (CVPR 2017)

market_manage_system_demo

mesa

NeurIPS’20 | Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

Meta-Weight-Net_Code-Optimization

A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.

ml-surveys

📋 Survey papers summarizing advances in machine learning.

Qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

unimoco

UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning

v2rayN

yangjichangfabuye

养鸡场最新可用地址