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Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

  • mesa
  • agent-based-modeling
  • agent-based-simulation
  • simulation-framework

Python Toolkit for Causal and Probabilistic Reasoning

  • python
  • bayesian-networks
  • causal-inference
  • causal-discovery

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

A full spaCy pipeline and models for scientific/biomedical documents.

  • scientific-documents
  • spacy
  • custom-pipes
  • nlp

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model

A Python native dynamical system simulation framework in the block diagram paradigm.

  • blockdiagram
  • control-systems
  • hierarchical-modeling
  • nonlinear-dynamics