《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative…

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

matlab 画交互式局部放大图

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

时间序列检测/分类方面经典方法统计；Repository containing notebooks of my posts on Medium

Totally Versatile Miscellanea for Pytorch

PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

Graph Neural Network Library for PyTorch

源重建Gradient-boosted equivalent sources method for interpolating very large gravity and magnetic datasets

Source code for paper: UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification

基于pytorch用于翻译的经典Trandformer实现;Transformer seq2seq model, program that can build a language translator from parallel corpus

动态阈值检测离群值Analyzing multiple multivariate time series datasets and using LSTMs and Nonparametric Dynamic Thresholding to detect anomalies across various industries.

Autoformer代码，也包括transformer,informer代码;About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2…

Sepsis Prediction on MIMIC

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Multivariate imputation and matrix completion algorithms implemented in Python

📈 Pytorch dual-attention LSTM-autoencoder for multivariate time series forecasting 📈

deep learning for image processing including classification and object-detection etc.

Probabilistic time series modeling in Python

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

插值方法Aeromagnetic interpolation method for correctly maintaining linear features within datasets (also known as "multi-trend gridding").

NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.

Highly comparative time-series analysis