Python Library for Model Interpretation/Explanations

Skater is a unified framework to enable Model Interpretation for all forms of model to help one build an Interpretable machine learning system often needed for real world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction). The project was started […]

Read more

Neovim integration for Google Keep built using gkeepapi

Neovim integration for Google Keep, built using gkeepapi Requirements Neovim 0.5 Python 3.6+ A patched font (optional. Used for icons) Table of Contents Installation gkeep supports all the usual plugin managers Packer require(‘packer’).startup(function() use {‘stevearc/gkeep.nvim’, run = ‘:UpdateRemotePlugins’} end) Paq require “paq” { {‘stevearc/gkeep.nvim’, run = vim.fn[‘remote#host#UpdateRemotePlugins’]}; } vim-plug

Read more