:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
- data-science
- jupyter
- ipython
- repl
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:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
Jupyter kernel for the C++ programming language
Interactive Go programming with Jupyter
R kernel for Jupyter
Jupyter magics and kernels for working with remote Spark clusters
A neovim plugin for interactively running code with the jupyter kernel. Fork of magma-nvim with improvements in image rendering, performance, and more
GoNB, a Go Notebook Kernel for Jupyter
Official gem repository: Ruby kernel for Jupyter/IPython Notebook
a Jupyter kernel for Clojure
Jupyter's kernel for Elixir programming language
An OCaml kernel for Jupyter (IPython) notebook
A Common Lisp kernel for Jupyter along with a library for building Jupyter kernels.
Deep and Machine Learning for Microscopy
Umbrella package of the 'spatstat' family................
A Maxima kernel for Jupyter, based on CL-Jupyter (Common Lisp kernel)
Jupyter kernel for Coq
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
Xonsh Jupyter kernel allows to run Xonsh shell code in Jupyter, JupyterLab, Euporie, etc.
Jupyter MicroPython Kernel made with upydevice
Jupyter Kernel for ACL2