A python library for user-friendly forecasting and anomaly detection on time series.

Chronos: Pretrained Models for Time Series Forecasting

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

Time series forecasting with PyTorch

Lightning ⚡️ fast forecasting with statistical and econometric models.

🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

Scalable and user friendly neural :brain: forecasting algorithms.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm