A universal time series representation learning framework

STUMPY is a powerful and scalable Python library for modern time series analysis

The codes to replicate the simulation of the paper :"Wav-KAN: Wavelet Kolmogorov-Arnold Networks"

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

Bayesian Change-Point Detection and Time Series Decomposition

Scalable datastore for metrics, events, and real-time analytics

Estimation of the lead-lag parameter from non-synchronous data.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift

TKAN: Temporal Kolmogorov-Arnold Networks

Temporal Kolmogorov-Arnold Transformer

This curated list contains python packages for time series analysis

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

A Library for Advanced Deep Time Series Models.

Resources about time series forecasting and deep learning.

Resources for working with time series and sequence data

Scalable and user friendly neural 🧠 forecasting algorithms.

ETNA – Time-Series Library

Code for Machine Learning for Algorithmic Trading, 2nd edition.

FinRL: Financial Reinforcement Learning. 🔥

LLM101n: Let's build a Storyteller

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

An open-source, low-code machine learning library in Python

A cloud-native vector database, storage for next generation AI applications

Python wrapper for TA-Lib (https://ta-lib.org/).

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators