sayingandparsing Goto Github PK

abstract-space

Extensible, mnemonic command selection tool

abstract-space-old

abstract-view

Electron view for the abstract-space command selection tool

ampligraph

Python library for Representation Learning on Knowledge Graphs

android-messages-for-desktop

A "native-like" OS X, Windows, & Linux desktop app for Android Messages

api-suite

The Java API suite for interacting with the Cyc inference engine and knowledge base.

article-extraction-service

abstract-space component for downloading webpages and extracting text to be analyzed in python

as-tts-service

TTS service for the abstract-space ipc and command selection utility

awesome-deep-learning-papers

The most cited deep learning papers

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

aws-elastic-beanstalk-developer-guide

The open source version of the AWS Elastic Beanstalk Developer Guide. You can submit feedback and requests for changes by submitting issues in this repo or by making proposed changes and submitting a pull request.

bento

🍱 The minimalist, elegant and hackable startpage.

bolinas

SHERG rule extraction and parsing tools

chromatic-circle

coc.nvim

Intellisense engine for vim8 & neovim, full language server protocol support as VSCode

config-alacritty

Alacrity configuration

dnd-rag

A simple RAG chatbot that can retrieve from a mediawiki data dump

drawio

Source to www.draw.io

gale-for-ff

CSS files to theme Firefox with Sidebery

gcn-opportunity-crawler

gcn-server-playbook

gruvbox

Retro groove color scheme for Vim

json-pattern-matching

jupyterlab-gruvbox

Gruvbox colorscheme for JupyterLab

jupyterlab-vim

:neckbeard: Vim notebook cell bindings for JupyterLab

keymaps

lectures

Oxford Deep NLP 2017 course

linguistic-edges

natural-language-server

nlp-architect

NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding