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Starred repositories
An open-source, lightweight, and blazing-fast financial machine learning library built with Numba. Process raw trades, generate advanced bars, features, and labels for quantitative research.
Deep Reinforcement Learning: Zero to Hero!
An AI-powered security review GitHub Action using Claude to analyze code changes for security vulnerabilities.
Free, local, open-source AI app builder ✨ v0 / lovable / Bolt alternative 🌟 Star if you like it!
Hierarchical Reasoning Model Official Release
A Beginner's Guide to State Space Modeling
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
Minimal, lightweight JAX implementations of popular models.
Super-fast BART (Bayesian Additive Regression Trees) in Python
𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analy…
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
DSPy: The framework for programming—not prompting—language models
TradingAgents: Multi-Agents LLM Financial Trading Framework
Kalman Filter, Smoother, and EM Algorithm for Python
TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a sing…
EnrichMCP is a python framework for building data driven MCP servers
GenAI Agent Framework, the Pydantic way
Interpolation and function approximation with JAX
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Fully Local Manus AI. No APIs, No $200 monthly bills. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity. 🔔 Official updates only via twitter @Martin9…
A Python application for tracking, reporting on timing and complexity in Python code
A package to work with SEC data. Incorporates datamule endpoints.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
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 commi…
JAX - A curated list of resources https://github.com/google/jax
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.
Take a modern Python codebase to the next level of performance.