BillyTheKids-QRR

DSAN

SSDGL

SSDGL: A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification (TCYB2021) https://ieeexplore.ieee.org/document/9440852

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

pywt

PyWavelets - Wavelet Transforms in Python

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

CWGAN-GP-time-series

Conditional Wasserstein GAN for synthetic time series genetaion

DLWCB

基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)

Fault-diagnosis-for-small-samples-based-on-attention-mechanism

基于注意力机制的少量样本故障诊断 pytorch

A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu

Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify the health conditions.

bearing-fault-diagnosis

domain adaption with LSGAN for bearing fault diagnosis

CrossDomainFaultDiagnosis

Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Transport

DA-diagnosis

Code for our paper "Domain adaptive transfer learning for fault diagnosis." 2019 Prognostics and System Health Management Conference (PHM-Paris). IEEE, 2019.

Domain-adaptation-for-fault-diagnosis

Conditional-Adversarial-Domain-Generalization-with-Single-Discriminator

Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis"

Bearing-Fault-Diagnosis-using-Transfer-Learning

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

A-Cross-category-Fault-Diagnosis-by-deep-Few-shot-Learning

SSMN

The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.

MetaFD

The source codes of Meta-learning for few-shot cross-domain fault diagnosis.

Few-shot-Transfer-Learning

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine

mtl-gan

Multi-Task Learning framework for Image Generative Adversarial Network

Pytorch-Project-Template

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

Differentially-Private-Deep-Learning

This repo implements several algorithms for learning with differential privacy.

Differential-Privacy-Based-Federated-Learning

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

GAN-Tutorial

Simple Implementation of many GAN models with PyTorch.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

DCGAN-LSGAN-WGAN-GP-DRAGAN-Pytorch

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2

AutoGAN

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang