The UBC Scientific Software Seminar is inspired by Software Carpentry and its goal is to help students, graduates, fellows and faculty at UBC develop software skills for science.
GitHub repository with 5 stars and 5 forks.
Language: Jupyter Notebook
2026-07-15: 5 stars and 5 forks.
Reference PyTorch implementation and models for DINOv3
GitHub repository with 10,941 stars and 899 forks.
Trending score: 4.09; stars gained: +238; forks gained: +21.
Language: Jupyter Notebook
21 Lessons, Get Started Building with Generative AI
GitHub repository with 113,009 stars and 60,715 forks.
Trending score: 3.79; stars gained: +58; forks gained: +32.
Language: Jupyter Notebook
Topics: ai, chatgpt, dall-e, generativeai, gpt, azure
Learn about the fundamentals of LangGraph through a series of notebooks
GitHub repository with 517 stars and 123 forks.
Trending score: 2.45; stars gained: +25; forks gained: +4.
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 16,756 stars and 5,467 forks.
Trending score: 2.40; stars gained: +11; forks gained: +1.
Language: Jupyter Notebook
Topics: csharp, java, javascript, mcp, mcp-client, mcp-security
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
GitHub repository with 1,699 stars and 346 forks.
Trending score: 2.32; stars gained: +8; forks gained: +2.
Language: Jupyter Notebook
Topics: ai, fine-tuning, model-training, nemotron, nvidia, reinforcement-learning
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
GitHub repository with 5,660 stars and 464 forks.
Trending score: 2.27; stars gained: +7; forks gained: +1.
Language: Jupyter Notebook
Reference PyTorch implementation and models for DINOv3
GitHub repository with 10,941 stars and 899 forks.
Trending score: 4.09; stars gained: +238; forks gained: +21.
Language: Jupyter Notebook
21 Lessons, Get Started Building with Generative AI
GitHub repository with 113,009 stars and 60,715 forks.
Trending score: 3.79; stars gained: +58; forks gained: +32.
Language: Jupyter Notebook
Topics: ai, chatgpt, dall-e, generativeai, gpt, azure
Learn about the fundamentals of LangGraph through a series of notebooks
GitHub repository with 517 stars and 123 forks.
Trending score: 2.45; stars gained: +25; forks gained: +4.
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 16,756 stars and 5,467 forks.
Trending score: 2.40; stars gained: +11; forks gained: +1.
Language: Jupyter Notebook
Topics: csharp, java, javascript, mcp, mcp-client, mcp-security
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
GitHub repository with 1,699 stars and 346 forks.
Trending score: 2.32; stars gained: +8; forks gained: +2.
Language: Jupyter Notebook
Topics: ai, fine-tuning, model-training, nemotron, nvidia, reinforcement-learning
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
GitHub repository with 5,660 stars and 464 forks.
Trending score: 2.27; stars gained: +7; forks gained: +1.
Language: Jupyter Notebook