Peter's repositories

buke2016

Config files for my GitHub profile.

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library

It might could be that some of the things included here do not equal endorsement or even that I agree with them.

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abstreet

Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit

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batfish

Batfish is a network configuration analysis tool that can find bugs and guarantee the correctness of (planned or current) network configurations. It enables network engineers to rapidly and safely evolve their network, without fear of outages or security breaches.

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Bella-PL

An Interpreter for Bella Extension

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bnlearn

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

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Causal-Inference-and-Discovery-in-Python

Causal Inference and Discovery in Python by Packt Publishing

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CVE-2024-1086

Universal local privilege escalation Proof-of-Concept exploit for CVE-2024-1086, working on most Linux kernels between v5.14 and v6.6, including Debian, Ubuntu, and KernelCTF. The success rate is 99.4% in KernelCTF images.

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Data_Science

Data lab for 2030 Agenda

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Fractals

Has over 10 different kinds of Fractals

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geoparquet

Specification for storing geospatial vector data (point, line, polygon) in Parquet

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googletest

GoogleTest - Google Testing and Mocking Framework

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growthbook

Open Source Feature Flagging and A/B Testing Platform

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HighwayData

Highway Data, including all systems, boundaries, etc.

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Mastering-NLP-from-Foundations-to-LLMs

Mastering NLP from Foundations to LLMs, Published by Packt

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nodebestpractices

:white_check_mark: The Node.js best practices list (February 2024)

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NYU-DLSP21

NYU Deep Learning Spring 2021

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ohm

A library and language for building parsers, interpreters, compilers, etc.

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pygwalker

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

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pykan

Kolmogorov Arnold Networks

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pymc

Bayesian Modeling and Probabilistic Programming in Python

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python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

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Riskfolio-Lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

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scikit-learn

scikit-learn: machine learning in Python

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streetmix

Streetmix makes it easy for people to design public spaces together.

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taipy

Turns Data and AI algorithms into production-ready web applications in no time.

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yolov10

YOLOv10: Real-Time End-to-End Object Detection

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