DLINLIN123's repositories
Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Awesome-Incremental-Learning
Awesome Incremental Learning
Best-Incremental-Learning
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
convolution-vision-transformers
PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
Generalized-Zero-Shot-Learning-via-Aligned-Variational-Autoencoders
This repository has the pytorch implementation of the paper 'Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders' (CVPR 2019)
ICCV2021-Papers-with-Code
ICCV 2021 论文和开源项目合集
zero-few-shot-learing
记录ZSL和few-shot-learning实验
bearingPlatform_hua
西储大学轴承数据集故障诊断的仿真平台
diagnose_fault_by_vibration
毕设研究课题：根据轴承的振动序列数据来诊断轴承故障。
DL-based-Intelligent-Diagnosis-Benchmark
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
DLINLIN123
Config files for my GitHub profile.
Gear_Box_Fault_Diagnosis
Gear box failure detection (ANN/Pytorch)
Machine-Learning
Basic algorithms about machine learnig
Nystromformer
Nystromformer&efat
PCCNN
This is a repository of code and experiment data for paper <A probability confidence CNN model and its application in mechanical fault diagnosis>
peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
pytorch-Deep-Residual-Shrinkage-Networks-for-fault-diagnosis
Deep Residual Shrinkage Networks for Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断
PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
transformer-cnn-emotion-recognition
Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between