A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.

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.

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

Statsmodels: statistical modeling and econometrics in Python

A modular geospatial engine written in JavaScript and TypeScript

Real-time Geospatial and Geofencing

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Complete and link income statement, balance sheet, and cash flow statement model templates with formulas and checks.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Hexagonal hierarchical geospatial indexing system

Uplift modeling and causal inference with machine learning algorithms

Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.