ClarkGableWang's starred repositories
deep-transfer-learning
A collection of implementations of deep domain adaptation algorithms
Deep-Unsupervised-Domain-Adaptation
Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.
SimpleCVPaperReading
:smile:博客论文列表：分系列整理
pytorch_DANN
An implementation of DANN with pytorch
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Efficient-CapsNet
Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
Journals-of-Prognostics-and-Health-Management
智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）
Hyperopt_FashionMNIST
# Bayesian Optimization In this example a bayesian framework is defined to tune hyperparameter of a CNN using hyperopt library developed https://github.com/hyperopt Bayesian optimization is a seuential model-based approach to solving problems. In particular, we prescribe a prior belief over the possible objective functions and then sequentially refine this model as data are observed via our updated beliefs-given data-on the likely ojective function we are optimizing. https://www.cs.ox.ac.uk/people/nando.defreitas/publications/BayesOptLoop.pdf This blog summarises bayesian optimization very thoroughly. https://medium.com/vantageai/bringing-back-the-time-spent-on-hyperparameter-tuning-with-bayesian-optimisation-2e21a3198afb The CNN is used to model fashion MNIST dataset.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Machine-Learning-Project
Machine Learning course project
CQT_toolbox_python
Constant-Q Transform Toolbox for Python/MATLAB
Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning
This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
tensorflow_stacked_denoising_autoencoder
Implementation of the stacked denoising autoencoder in Tensorflow
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection 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。
MAML-Pytorch
Reproduce MAML in Pytorch with omniglot dataset.
Siamese-Networks-for-One-Shot-Learning
Implementation of Siamese Neural Networks for One-shot Image Recognition
Adversarial-Attack-on-Machinery-Fault-Diagnosis
The code for http://arxiv.org/abs/2110.02498
class-norm
Class Normalization for Continual Zero-Shot Learning
ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2