SupVvi's repositories
few-shot-fault-diagnosis
A few shot learning repository for bearing fault diagnosis.
competition-baseline
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
google-research
Google Research
example-models
Example models for Stan
Bearing-fault-Diagnosis-based-on-deep-learning
基于深度学习的机械设备故障诊断方法研究
research-ms-loss
MS-Loss: Multi-Similarity Loss for Deep Metric Learning
SHOT-plus
code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
SSFormers
This repository is the code of the paper "Sparse Spatial Transformers for Few-Shot Learning".
darkreader
Dark Reader Chrome and Firefox extension
tts-gan
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
CVPR2022-Papers-with-Code
CVPR 2022 论文和开源项目合集
Domain-Generalization
A collection of awesome things about domain generalization, including papers, code, etc.
Siamese-pytorch
这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。
CatGAN-bearing-faults
Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics
MetaFD
The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
alfa-dataset-tools
Tools for working with ALFA datset
PyTorchDocs
PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！
DL-based-Intelligent-Diagnosis-Benchmark
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
Prototypical-Networks-for-image-classification
This is a very simple implementation for the NIPS 2017 paper Prototypical Networks for Few-shot Learning.
UDTL_multi_domain
Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))
DA
Unsupervised Domain Adaptation Papers and Code