ai4db and db4ai work

Making large AI models cheaper, faster and more accessible

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

Awesome-LLM: a curated list of Large Language Model

Python implementation of Symbolic Aggregate approXimation

A Python package for time series classification

LaTeX files for the Deep Learning book notation

Code for the paper "LightTS: Lightweight Time Series Classification with Adaptive Ensemble"

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

tracking papers, datasets, and models of "large language model (LLM) for time series"

Large Language & Foundation Models for Time Series.

An example of time series augmentation methods with Keras

使用numpy实现的聚类算法（包括时空聚类算法）

A comprehensive survey on the time series domains

Official implementation of "UniTS: A Universal Time Series Analysis Framework Powered by Self-supervised Representation Learning"

🔅Unofficial PyTorch implementation of KeepAugment

State-of-the-art data augmentation search algorithms in PyTorch

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)

Unofficial Pytorch implementation of Inception layer for time series classification and its possible transposition for further use in Variational AutoEncoder

InceptionTime: Finding AlexNet for Time Series Classification

A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.

ICLR 2021, Contrastive Learning with Hard Negative Samples

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~

时间序列分析教程

Fully Convlutional Neural Networks for state-of-the-art time series classification