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Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-st…
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
Distance correlation and related E-statistics in Python
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
NuMojo is a library for numerical computing in Mojo 🔥 similar to numpy in Python.
Fast and modular sklearn replacement for generalized linear models
Slowly working through Lopez de Prado's book Machine Learning for Asset Managers.
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks.This framework enables Claud…
Make typesetting LaTeX as fast as handwriting through snippets, text expansion, and editor enhancements
Time series analysis for Rust, with bindings to Python and Javascript
Data Analysis with Polars, Published by Packt
A curated list of Polars talks, tools, examples & articles. Contributions welcome !
magic-trace collects and displays high-resolution traces of what a process is doing
Learn to write Rust procedural macros [Rust Latam conference, Montevideo Uruguay, March 2019]
Filtered - PCMCI (F-PCMCI) causal discovery algorithm. Extension of the PCMCI causal discovery algorithm augmented with a feature selection method.
Complete-Life-Cycle-of-a-Data-Science-Project
A repository dedicated to showcasing and exploring the fascinating world of generative artificial intelligence.
It is a high-performance causal inference (statistical model) computing library based on OLAP, which solves the performance bottleneck of the existing statistical model library (R/Python) under big…
yq is a portable command-line YAML, JSON, XML, CSV, TOML, HCL and properties processor
A C++ library for Quadratic Programming which implements the Goldfarb-Idnani active-set dual method.
An open source python library for automated feature engineering
Feature engineering and selection open-source Python library compatible with sklearn.
A collection of John Ehlers technical analysis indicators / Filters written in pure go, with links to original papers
csp is a high performance reactive stream processing library, written in C++ and Python