Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Predict stock with LSTM supporting pytorch, keras and tensorflow

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

Probabilistic time series modeling in Python

Scalable machine 🤖 learning for time series forecasting.

Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper

Foundation Models for Time Series

Automated Time Series Forecasting

https://hrl.boyuai.com/

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

A Progressive Web App for local file sharing

The tiniest PaaS you've ever seen. Piku allows you to do git push deployments to your own servers.

Open Implementations of Large Time-Series Models

Lightning ⚡️ fast forecasting with statistical and econometric models.

Scalable and user friendly neural 🧠 forecasting algorithms.

A high-throughput and memory-efficient inference and serving engine for LLMs

A PyTorch implementation of learning shapelets from the paper Grabocka et al., „Learning Time-Series Shapelets“.

The machine learning toolkit for time series analysis in Python

Export Prometheus metrics from SQL queries

Bearing fault diagnosis model based on MCNN-LSTM

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

Temporal Pattern Attention for Multivariate Time Series Forecasting

Database agnostic SQL exporter for Prometheus

Time series forecasting especially in LSTF compare，include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LSTNet, Graph WaveNet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

Time series forecasting with PyTorch

time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code