tokamak-energy/gsfit
GSFit: Grad-Shafranov Fit
GitHub repository with 34 stars and 4 forks.
Language: Jupyter Notebook
Topics: tokamak, equilibrium
GSFit: Grad-Shafranov Fit
GitHub repository with 34 stars and 4 forks.
Language: Jupyter Notebook
Topics: tokamak, equilibrium
2026-06-15: 34 stars and 4 forks.
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 6,354 stars and 1,130 forks.
Trending score: 3.79; stars gained: +50; forks gained: +8.
Language: Jupyter Notebook
A simple MPC controller for path tracking implemented in python
GitHub repository with 434 stars and 70 forks.
Trending score: 3.72; stars gained: +132; forks gained: +17.
Language: Jupyter Notebook
Reference PyTorch implementation and models for DINOv3
GitHub repository with 10,678 stars and 876 forks.
Trending score: 3.14; stars gained: +70; forks gained: +6.
Language: Jupyter Notebook
Implement a reasoning LLM in PyTorch from scratch, step by step
GitHub repository with 4,508 stars and 662 forks.
Trending score: 2.79; stars gained: +24; forks gained: +1.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, deep-learning, large-language-models, llms, machine-learning
Examples and guides for using the OpenAI API
GitHub repository with 74,172 stars and 12,554 forks.
Trending score: 2.74; stars gained: +17; forks gained: +5.
Language: Jupyter Notebook
Topics: chatgpt, gpt-4, openai, openai-api
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
GitHub repository with 5,154 stars and 431 forks.
Trending score: 2.72; stars gained: +18; forks gained: +6.
Language: Jupyter Notebook
PROCESS is a systems code at UKAEA that calculates in a self-consistent manner the parameters of a fusion power plant with a specified performance, ensuring that its operating limits are not violated, and with the option to optimise to a given function of these parameters.
GitHub repository with 66 stars and 18 forks.
Trending score: 0.24; stars gained: +0; forks gained: +0.
Language: Python
Topics: fusion, nuclear-fusion, tokamak