The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
GitHub repository with 814 stars and 197 forks.
Language: Jupyter Notebook
Topics: statistics, data-science, data-visualization
Trending score 0.04, activity score 0.04, stars gained +0, forks gained +0.
2026-06-02: 814 stars and 197 forks.
Complete mathematics curriculum for AI/ML/LLM - from foundations to research frontiers
GitHub repository with 77 stars and 9 forks.
Trending score: 0.48; stars gained: +2; forks gained: +0.
Language: Jupyter Notebook
Topics: ai, calculus, data-science, deep-learning, jupyter-notebook, linear-algebra
The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
GitHub repository with 814 stars and 197 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: statistics, data-science, data-visualization
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
GitHub repository with 6,282 stars and 1,118 forks.
Trending score: 3.58; stars gained: +89; forks gained: +24.
Language: Jupyter Notebook
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
GitHub repository with 4,180 stars and 748 forks.
Trending score: 3.46; stars gained: +80; forks gained: +19.
Language: Jupyter Notebook
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
GitHub repository with 16,518 stars and 5,394 forks.
Trending score: 3.00; stars gained: +32; forks gained: +13.
Language: Jupyter Notebook
Topics: csharp, java, javascript, mcp, mcp-client, mcp-security
Repo for the Complete Agentic AI Engineering Course
GitHub repository with 5,324 stars and 4,524 forks.
Trending score: 2.69; stars gained: +12; forks gained: +18.
Language: Jupyter Notebook
Examples and guides for using the OpenAI API
GitHub repository with 74,142 stars and 12,548 forks.
Trending score: 2.69; stars gained: +27; forks gained: +0.
Language: Jupyter Notebook
Topics: openai, chatgpt, gpt-4, openai-api
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
GitHub repository with 5,125 stars and 426 forks.
Trending score: 2.61; stars gained: +26; forks gained: +1.
Language: Jupyter Notebook
scikit-learn: machine learning in Python
GitHub repository with 66,315 stars and 27,061 forks.
Trending score: 2.74; stars gained: +21; forks gained: +0.
Language: Python
Topics: data-analysis, data-science, machine-learning, python, statistics
⚽ Home Assistant World Cup 2026 integration with live fixtures, results, standings, statistics, predictions and a ready-to-import dashboard.
GitHub repository with 66 stars and 8 forks.
Trending score: 1.76; stars gained: +5; forks gained: +1.
Language: Python
Topics: dashboard, fixtures, football, hacs, home-assistant, lovelace
Show status of GitHub Repos right in your menu bar and terminal: CI, Issues, Pull Requests, Latest Release.
GitHub repository with 2,081 stars and 123 forks.
Trending score: 1.73; stars gained: +6; forks gained: +2.
Language: Swift
Topics: github, macos, statistics
Open Source Feature Flags, Experimentation, and Product Analytics
GitHub repository with 7,880 stars and 764 forks.
Trending score: 1.55; stars gained: +5; forks gained: +1.
Language: TypeScript
Topics: abtesting, statistics, abtest, experimentation, split-testing, snowflake
A highly customizable, smooth, and advanced graph chart card for Home Assistant dashboards. Shows historical sensor data with dynamic trend colors, statistics (min, max, avg), and more. A great alternative to the default history graph and sensor cards.
GitHub repository with 151 stars and 3 forks.
Trending score: 1.40; stars gained: +3; forks gained: +0.
Topics: analysis, analytics, bar-chart, chart, data-science, data-visualization
StatsPAI is the first agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, an MCP server, and R/Stata parity validation.
GitHub repository with 229 stars and 44 forks.
Trending score: 1.09; stars gained: +2; forks gained: +1.
Language: Python
Topics: agent-native, ai-agents, causal-discovery, causal-inference, data-science, difference-in-differences