Stars
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Go library for decoding generic map values into native Go structures and vice versa.
Collection of georeferenced boundaries of world countries and cultural regions for use in mapping historical data on global or continental scale
google data analytics professional certificate
A large model-based chatbot builder that can quickly integrate AI models (including ChatGPT, Claude, Gemini) into various software applications (such as Telegram, Gmail, Slack, and websites).
Template for creating scalable bots with aiogram
a keystroke dynamics algorithm in python (recognizes a person by the way s/he types)
Python hands-on training for network engineers. How to automate Junos with Python
Short Course - Applied Machine Learning for Risk Management
A collection of browser-based digital tools designed to add, simplify and enhance content creation across multiple platforms. Built for speed, ease of use, and accessibility, the apps allows users …
Game Theory and Python, a workshop investigating repeated games using the prisoner's dilemma
World Map Illustrator is an interactive digital tool designed to bring global data to life using the world map. The app allows users to edit visuals of a world map interface.
RiskWise is a lightweight decision-support tool that helps users assess risk, weigh opportunity costs, and make strategic choices using economic principles and game theory. Designed for clear, stru…
tkdevops-commit / geo-maps
Forked from simonepri/geo-maps🗺 High Quality GeoJSON maps programmatically generated.
Business Analytics Nanodegree - Learn Excel, SQL and Tableau skills. Four reviewed projects to complete. See the projects website below.
Tools & Interesting Things for RedTeam Ops
LlamaIndex is the leading framework for building LLM-powered agents over your data.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
tkdevops-commit / llm
Forked from simonw/llmAccess large language models from the command-line