keitakurita / jupyter-slack-notifyLinks
A magic command for notifications via slack
☆40Updated 5 years ago
Alternatives and similar repositories for jupyter-slack-notify
Users that are interested in jupyter-slack-notify are comparing it to the libraries listed below
Sorting:
- Jupyterlab python linter for notebooks and text files using flake8☆112Updated 4 years ago
- A JupyterLab extension to apply Black formatter to code within codecell.☆37Updated 6 years ago
- Time everything in IPython☆125Updated last year
- A lightweight command line interface for the management of arbitrary machine learning tasks☆19Updated 4 years ago
- Run any Jupyter notebook instantly using Kaggle kernels☆63Updated 5 years ago
- NeuralPy: A Keras like deep learning library works on top of PyTorch☆79Updated last year
- Version Control for Machine Learning☆44Updated 2 years ago
- Lightweight, Python library for fast and reproducible experimentation☆136Updated 6 years ago
- Black formatter for Jupyter Notebook☆438Updated 5 years ago
- CLANA is a toolkit for classifier analysis.☆31Updated 2 years ago
- Unofficial Python implementation of "Precision and Recall for Time Series".☆41Updated last year
- Practical active learning in python☆191Updated 3 years ago
- ☆42Updated last month
- Asynchronous queue for machine learning jobs☆150Updated 2 years ago
- General Interpretability Package☆58Updated 2 years ago
- Temporary repository for Japanese☆11Updated 6 years ago
- Jupyter Widget for data annotation☆140Updated 2 years ago
- Comparing PyTorch Catalyst, Ignite, Lightning by sample code☆20Updated 2 years ago
- Stats 479 Project☆22Updated 6 years ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 4 years ago
- Convert from Python script to Jupyter notebook and vice versa☆127Updated last year
- Table of Contents extension for JupyterLab☆72Updated 6 years ago
- Machine Learning package allowing faster cross-validation☆18Updated 6 years ago
- Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era.☆205Updated 5 years ago
- A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges☆63Updated 2 years ago
- Useful decorators every Data Scientist should know☆29Updated 2 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆99Updated last year
- Tensorboard extension for jupyterlab.☆314Updated 3 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago