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「二分类算法」提供银行精准营销解决方案

-anomaly-detection-anomaly-transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

-reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

aaai2020-riskoracle

AAAIA2020-Accident Forecasting Experiments Setups

affgcn

agcrn

Adaptive Graph Convolutional Recurrent Network

aic_weather_forecasting

AI Challenger 2018 Weather Forecasting - 1st Place Solution

algorithm-pattern

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

analysis-of-students-consumption-behavior-on-campus

基于国内某高校校园一卡通系统一个月的运行数据，使用数据分析和建模的方法，挖掘数据中所蕴含的信息，分析学生在校园内的学习生活行为

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

arima

Simple python example on how to use ARIMA models to analyze and predict time series.

astgcn

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

astgnn

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

autox

AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

awesome-timeseries-aiops-lm-llm

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, Event Data, and AIOps.

bdci-2020-timeseries-prediction

Matrix Factorization for High-Dimensional and Sparse Time Series Prediction

bear_fault_diagnosis

Bearing fault diagnosis model based on MCNN-LSTM

bokeh

Interactive Web Plotting for Python

book4_power-of-matrix

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；本册有，584幅图，81个代码文件，其中18个Streamlit App；状态：清华社五审五校中；Github稿件基本稳定，欢迎提意见，会及时修改

bstt

A Bayesian Spatial-Temporal Transformer for Sleep Staging

carrot-chatgpt-hub

Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点

classification-flowformer

About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf

convolutional-kans

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

curb-gan

The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

data_mining_models

Basic data mining model, including feature importance display

dcrnn1

dcrnn_pytorch

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch