Notebook Intelligence (NBI) is an AI coding assistant and extensible AI framework for JupyterLab. It can use GitHub Copilot or AI models from any other LLM Provider, including local models fromOllama. NBI greatly boosts the productivity of JupyterLab users with AI assistance. ...
GitHub Copilot Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support Pricing Search or jump to... Search code, repositories, users, issues, pull requests... Provide feedback We read every piece of feedback, and take your input very seriously. Include my email address...
[1] JupyterLab:https://github.com/jupyterlab/jupyterlab [2] Jupyter Notebook:https://github.com/jupyter/notebook [3] mermaid:https://github.com/mermaid-js/mermaid [4] jupyter-ai:https://github.com/jupyterlab/jupyter-ai [5] 2.10.0:https://github.com/jupyterlab/jupyter-ai/releases/tag...
是的,JupyterLab 4.0发布了,这是一个具有重要意义的更新,它在原有基础上带来了更多的优化和改进。 在过去,很多python开发者都用过Jupyter,包括我自己。Jupyter Notebook 的很多体验感很是问题。例如,单一的文档界面使得我们无法同时打开和查看多个笔记本,这在一些需要对比和参考多个文件的情况下显得尤为麻烦。此外,其...
它是免费的,但有一个测试版等待名单。jupyterlab 对此进行了尝试,称为jupyterlab-codex. 考虑到搜索结果,它可能在某个时刻起作用,例如。https://medium.com/codex/jupyter-notebook-can-do-that-b3185058fe76。因此,除了“Jupyter + copilot”之外,还需要注意“Jupyter + Codex”。
您可以使用Github Copilot / Codeium等工具查询/检查/工作Master_Notebook,在本地笔记本中做一些实验,当您对代码感到满意时,将其粘贴到JupyterLab > Master_Notebook中。 每个编辑都有一些其他编辑所没有的优点(没有兴趣在这里争论)。通过这种设置,我尝试将它们组合起来,并在需要时使用它们。 欢迎批评/评论/改进。
Nowadays, productivity tool in programming almost means AI Assistant or AI copilot.Jupyter-aiis an extension that lets you use some AI models as chat assistants within your JupyterLab environment. You need to select your AI model from alist of available options, and most of the time, you wi...
Kite Autocomplete Extension for JupyterLab. Contribute to kiteco/jupyterlab-kite development by creating an account on GitHub.
GitHub Copilot Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support Pricing Search or jump to... Search code, repositories, users, issues, pull requests... Provide feedback We read every piece of feedback, and take your input very seriously. Include my email address...
JupyterLab computational environment. Contribute to jupyterlab/jupyterlab development by creating an account on GitHub.