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

  • forecasting
  • r
  • python

Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.

"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

TranslatedFree and open-source A-share quantitative trading database; focused on A-shares, focused on quantification, living toward the sun; open, clean, continuous, generating power for Ai (爱, "love"/AI). Born for personal quantitative trading, defend 3000 points, cherish the opportunities at the bottom...... [stock data, stock market data, stock quantitative data, stock trading data, candlestick (K-line) market data, stock concept data, stock data API, market data API, quantitative trading data] [multi-data-source fusion, dynamic proxy settings, ensuring high data availability]

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.