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awesome-devops

A curated list of awesome DevOps platforms, tools, practices and resources

awesome-devsecops

Curating the best DevSecOps resources and tooling.

awesome-incident-response

A curated list of tools for incident response

awesome-sbom

A curated list of SBOM (Software Bill Of Materials) related tools, frameworks, blogs, podcasts, and articles

awesome-software-analytics

Curated list of awesome resources and links about Software Analytics

awesome-sre

A curated list of Site Reliability and Production Engineering resources.

awesome-wardley-maps

Wardley maps community hub. Useful Wardley mapping resources

cc5206

Introducción a la Minería de Datos

cc6104

Teaching material of the course "Statistical Thinking" of the Department of Computer Science at the University of Chile.

cfds

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

course

courses-claude

Anthropic's educational courses

egad

EGAD: A Moldable tool for GitHub Action Analysis

empirical-methods

Homepage for 17-803 "Empirical Methods" at Carnegie Mellon University

empiricalstandards

Tools and standards for conducting and evaluating research in software engineering

ght_unmasking_aliases

heuristic for identities unification

hidden-cost-automation

The Hidden Costs of Automation: An Empirical Study on GitHub Actions Workflow Maintenance

innovationgraph

GitHub Innovation Graph

introduction-datascience-python-book

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

introduction-to-datascience

open source textbook for DSCI 100

iot-for-beginners

12 Weeks, 24 Lessons, IoT for All!

llm4besci_gserm2024

The course introduces the use of open-source large language models (LLMs) from the Hugging Face ecosystem for research in the behavioral and social sciences.

loghub

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

machine-learning-specialization-andrew-ng

A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.

ml-for-beginners

12 weeks, 24 lessons, classic Machine Learning for all

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

pavt.github.io

python-in-a-notebook

Collection of Jupyter Notebooks about Python programming

roassal3documentation

Documentation of Roassal3

sci

A specification that describes how to calculate a carbon intensity for software applications.