A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
Global
> Kronos is the first open-source foundation model for financial candlesticks (K-lines), > trained on data from over 45 global exchanges.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
A creator who's shipped 200 pieces is barely 10% sharper than someone who's shipped 1 — because they never kept books after each round.
statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation and inference for statistical models.
13 and is available on Linux, MacOS, and Windows.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
ai), led by Yury Kashnitsky (yorko), now Staff GenAI specialist at Google Cloud. D. degree in applied math and a Kaggle Competitions Master tier, Yury aimed at designing an ML course with a perfect balance between theory and practice.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Open-source Agent OS built in Rust. 137K LOC. 14 crates.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes forecasting, time series classification, clustering, anomaly/changepoint detection, and other tasks.
A control plane for the layer where cloud-native data pipelines actually break: not the application logic, but the orchestration around it. Four mechanisms, each useful alone, built to be operated together.
A skill dedicated solely to Problem C of the National Competition-一个只做国赛C题的skill
We built this because the literature is confusing on purpose. 22702) showed that normalization choices often matter more than the architecture being advertised. Reading the actual mechanisms side by side is the fastest way to form your own opinion.