Open-source quantitative finance models in Python: option pricing and Greeks, volatility surfaces, deep hedging, portfolio construction and Monte Carlo. Every model runs on free data, with the full write-up on davidariasfinance.com
Collection of notebooks about quantitative finance, with interactive python code.
Optimizing inference proxy for LLMs
Monte Carlo tree search in JAX
Bayesian inference with probabilistic programming.
Gaussian processes in TensorFlow
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
OpenMC Monte Carlo Code
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
Machine learning algorithms for many-body quantum systems
VeraGrid, a cross-platform power systems software written in Python with user interface, used in academia and industry.
Monte Carlo simulation of the NBA season, leveraging dbt, duckdb and evidence.dev
Sequential Monte Carlo in python
The LuxAlgo ecosystem as MCP tools: free and keyless.
Know your odds before you pay the fee: open-source Monte Carlo simulation of prop-firm challenges over each firm's exact ruleset. Pass probability, expected attempts and cost, EV, optimal risk sizing. Engine, CLI, and MCP server. Deterministic, zero telemetry. By LuxAlgo.
ESPN draft and lineup tools for Codex and other MCP clients, with browser sign-in, approval modes, per-team limits, and server monitoring.
BidKing product source, self-hostable service components, and a standalone discrete-inference toolkit. MIT-licensed first-party code.
Valida ideas de trading como lo haría un fondo: 6 agentes de IA, el método TIS y un motor de 5 fases. Trae guía para quien no programa y 7 estrategias de ejemplo, las 7 descartadas con motivo escrito.