MouXA's starred repositories
AlignmentSurvey
AI Alignment: A Comprehensive Survey
Turbofan-engine-RUL-prediction
RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf
RUL_Prediction
remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN), and Long Short Term Memory (LSTM) unit
Machine-Learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
awesome-imbalanced-learning
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
common_datasets
machine learning databases
the-gan-zoo
A list of all named GANs!
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
annotated-transformer
An annotated implementation of the Transformer paper.
AI-interview-cards
最完整的AI算法面试题目仓库，1000道，25个类目
Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
2017-IndustryBigData
2017工业大数据 风机叶片预测
LSTM-for-Wind-Farm-Condition-Monitoring
Deep learning application for fault detection and condition monitoring in wind farms