A nutritional label for food for thought.

Related tags

Deep Learninglexiscore
Overview

Lexiscore

As a first effort in tackling the theme of information overload in content consumption, I've been working on the lexiscore: a nutritional label for food for thought designed to help you narrow in on resources which personally bring you the most value. The open source companion software can automatically label raw text originating from RSS feeds, bookmarked pages, PDFs, EPUBs, and more. In the scope of this project, I'm considering valuable resources to be those from which you learn a lot, those which are packed with ideas you find surprising.

Read more...

Installation

Note: This tool requires a running instance of the conceptarium as a proxy for your knowledge.

The lexiscore labeler can either be deployed from source or using Docker.

Docker

To deploy the lexiscore labeler using Docker, first make sure to have Docker installed, then simply run the following.

docker run -p 8501:8501 paulbricman/lexiscore

The tool should be available at localhost:8501.

From Source

To set up the lexiscore labeler, clone the repository and run the following:

python3 -m pip install -r requirements.txt
streamlit run main.py

The tool should be available at localhost:8501.

Screenshots

You might also like...
MPLP: Metapath-Based Label Propagation for Heterogenous Graphs

MPLP: Metapath-Based Label Propagation for Heterogenous Graphs Results on MAG240M Here, we demonstrate the following performance on the MAG240M datase

Qiuying Peng 10 Jun 28, 2022
Official Pytorch Implementation of:
Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(2021) paper

Semantic Diversity Learning for Zero-Shot Multi-label Classification Paper Official PyTorch Implementation Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Bar

null 28 Aug 29, 2022
Shared Attention for Multi-label Zero-shot Learning
Shared Attention for Multi-label Zero-shot Learning

Shared Attention for Multi-label Zero-shot Learning Overview This repository contains the implementation of Shared Attention for Multi-label Zero-shot

dathuynh 26 Dec 14, 2022
Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021
Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021

Embedding Transfer with Label Relaxation for Improved Metric Learning Official PyTorch implementation of CVPR 2021 paper Embedding Transfer with Label

Sungyeon Kim 37 Dec 6, 2022
Code for Two-stage Identifier:
Code for Two-stage Identifier: "Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition"

Code for Two-stage Identifier: "Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition", accepted at ACL 2021. For details of the model and experiments, please see our paper.

tricktreat 87 Dec 16, 2022
General Multi-label Image Classification with Transformers

General Multi-label Image Classification with Transformers Jack Lanchantin, Tianlu Wang, Vicente Ordóñez Román, Yanjun Qi Conference on Computer Visio

QData 154 Dec 21, 2022
Source code for "UniRE: A Unified Label Space for Entity Relation Extraction.", ACL2021.

UniRE Source code for "UniRE: A Unified Label Space for Entity Relation Extraction.", ACL2021. Requirements python: 3.7.6 pytorch: 1.8.1 transformers:

Wang Yijun 109 Nov 29, 2022
Implementation of the paper All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training
Implementation of the paper All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training

SemCo The official pytorch implementation of the paper All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training

null 42 Nov 14, 2022
Official implementation of paper
Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".

Introdunction This is the official implementation of the paper "Query2Label: A Simple Transformer Way to Multi-Label Classification". Abstract This pa

Shilong Liu 274 Dec 28, 2022
Comments
  • RSS OPML only pulls last article

    RSS OPML only pulls last article

    Summary

    Adding RSS from OPML only pulls the last article.

    Details

    After setting up lexiscore, I take my blog's RSS (https://ivans.io/rss/) and convert it to OPML using https://opml-gen.ovh/. This yields the following file:

    <opml version="2.0">
	<body>
		<outline text="Subscriptions" title="Subscriptions">
			<outline xmlUrl='https://ivans.io/rss/' />
	
		</outline>
	</body>
</opml>

    After adding this to lexiscore, only the most recent article appears in the reading list. I've checked the RSS feed, and all articles are fully present.

    Desired Behavior

    RSS feeds should pull all articles.

    opened by issmirnov 4
  • NLTK downloader problem when deploying with docker.

    NLTK downloader problem when deploying with docker.

    I have deployed the docker image to my personal server. After importing the RSS from my blog (https://ivans.io/rss/) as an OPML file, I click on "start labelling". This causes a stack trace:

    LookupError: ********************************************************************** 
Resource punkt not found. Please use the NLTK Downloader to obtain the resource: 
[31m>>> import nltk >>> nltk.download('punkt') 
[0m For more information see: https://www.nltk.org/data.html Attempted to load tokenizers/punkt/PY3/english.pickle
[0m Searched in: - '/root/nltk_data' - '/usr/local/nltk_data' - '/usr/local/share/nltk_data' - '/usr/local/lib/nltk_data' - '/usr/share/nltk_data' - '/usr/local/share/nltk_data' - '/usr/lib/nltk_data' - '/usr/local/lib/nltk_data' - '' **********************************************************************
Traceback:
File "/usr/local/lib/python3.8/site-packages/streamlit/script_runner.py", line 354, in _run_script
    exec(code, module.__dict__)
File "/app/main.py", line 30, in <module>
    cart_section(col2)
File "/app/components.py", line 110, in cart_section
    content_paragraphs = get_paragraphs(row['text'])
File "/app/processing.py", line 19, in get_paragraphs
    sents = sent_tokenize(line)
File "/usr/local/lib/python3.8/site-packages/nltk/tokenize/__init__.py", line 107, in sent_tokenize
    tokenizer = load("tokenizers/punkt/{0}.pickle".format(language))
File "/usr/local/lib/python3.8/site-packages/nltk/data.py", line 750, in load
    opened_resource = _open(resource_url)
File "/usr/local/lib/python3.8/site-packages/nltk/data.py", line 875, in _open
    return find(path_, path + [""]).open()
File "/usr/local/lib/python3.8/site-packages/nltk/data.py", line 583, in find
    raise LookupError(resource_not_found)
    opened by issmirnov 3
  • Add aggregator page as input source

    Add aggregator page as input source

    Imagine adding this as input sources of type "Aggregator": https://metaphor.so/search?q=The%20coolest%20essay%20on%20human-machine%20collaboration%2C%20cognitive%20augmentation%2C%20and%20tools%20for%20thought%20is

    The labeling software would sift through and add a nutritional value filter on top of a cool "search" approach

    enhancement 
    opened by paulbricman 0
  • Save concptarium URL with local cookie

    Save concptarium URL with local cookie

    Currently, I have this deployed via docker on a personal server. On every page refresh, I am asked for the url of the conceptarium. It would be useful to have this URL saved in local cookie storage.

    enhancement 
    opened by issmirnov 1
Releases(v1.0.0)
Owner
Paul Bricman
Building tools which augment the mind.
Paul Bricman
GitHub Repository https://paulbricman.com/thoughtware/lexiscore
I3-master-layout - Simple master and stack layout script

Simple master and stack layout script | ------ | ----- | | | | | Ma

Tobias S 18 Dec 05, 2022
OverFeat is a Convolutional Network-based image classifier and feature extractor.

OverFeat OverFeat is a Convolutional Network-based image classifier and feature extractor. OverFeat was trained on the ImageNet dataset and participat

593 Dec 08, 2022
「PyTorch Implementation of AnimeGANv2」を用いて、生成した顔画像を元の画像に上書きするデモ

AnimeGANv2-Face-Overlay-Demo PyTorch Implementation of AnimeGANv2を用いて、生成した顔画像を元の画像に上書きするデモです。

KazuhitoTakahashi 21 Oct 18, 2022
Code for the paper titled "Prabhupadavani: A Code-mixed Speech Translation Data for 25 languages"

Prabhupadavani: A Code-mixed Speech Translation Data for 25 languages Code for the paper titled "Prabhupadavani: A Code-mixed Speech Translation Data

Ayush Daksh 12 Dec 01, 2022
DeceFL: A Principled Decentralized Federated Learning Framework

DeceFL: A Principled Decentralized Federated Learning Framework This repository comprises codes that reproduce experiments in Ye, et al (2021), which

Huazhong Artificial Intelligence Lab (HAIL) 10 May 31, 2022
PyTorch CZSL framework containing GQA, the open-world setting, and the CGE and CompCos methods.

Compositional Zero-Shot Learning This is the official PyTorch code of the CVPR 2021 works Learning Graph Embeddings for Compositional Zero-shot Learni

EML Tübingen 70 Dec 27, 2022
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields

CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields Paper | Supplementary | Video | Poster If you find our code or paper useful, please

26 Nov 29, 2022
An AI made using artificial intelligence (AI) and machine learning algorithms (ML) .

DTech.AIML An AI made using artificial intelligence (AI) and machine learning algorithms (ML) . This is created by help of some members in my team and

1 Jan 06, 2022
Multi-objective gym environments for reinforcement learning.

MO-Gym: Multi-Objective Reinforcement Learning Environments Gym environments for multi-objective reinforcement learning (MORL). The environments follo

Lucas Alegre 74 Jan 03, 2023
A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling"

SelfGNN A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which will appear in Th

Zekarias Tilahun 24 Jun 21, 2022
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

Pytorch Recurrent Variational Autoencoder Model: This is the implementation of Samuel Bowman's Generating Sentences from a Continuous Space with Kim's

Daniil Gavrilov 347 Nov 14, 2022
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

bulbea "Deep Learning based Python Library for Stock Market Prediction and Modelling." Table of Contents Installation Usage Documentation Dependencies

Achilles Rasquinha 1.8k Jan 05, 2023
General purpose Slater-Koster tight-binding code for electronic structure calculations

tight-binder Introduction General purpose tight-binding code for electronic structure calculations based on the Slater-Koster approximation. The code

9 Dec 15, 2022
Bare bones use-case for deploying a containerized web app (built in streamlit) on AWS.

Containerized Streamlit web app This repository is featured in a 3-part series on Deploying web apps with Streamlit, Docker, and AWS. Checkout the blo

Collin Prather 62 Jan 02, 2023
JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Optimal Model Design for Reinforcement Learning This repository contains JAX code for the paper Control-Oriented Model-Based Reinforcement Learning wi

Evgenii Nikishin 43 Sep 28, 2022
Simple sinc interpolation in PyTorch.

Kazane: simple sinc interpolation for 1D signal in PyTorch Kazane utilize FFT based convolution to provide fast sinc interpolation for 1D signal when

Chin-Yun Yu 10 May 03, 2022
TensorFlow implementation for Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How

Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How TensorFlow implementation for Bayesian Modeling and Unce

Shen Lab at Texas A&M University 8 Sep 02, 2022
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

CALVIN CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks Oier Mees, Lukas Hermann, Erick Rosete,

Oier Mees 107 Dec 26, 2022
DNA-RECON { Automatic Web Reconnaissance Tool }

ABOUT TOOL : DNA-RECON is an automatic web reconnaissance tool written in python. This tool made for reconnaissance and information gathering with an

NIKUNJ BHATT 25 Aug 11, 2021
SemEval2022 Patronizing and Condescending Language (PCL) Detection

SemEval2022 Patronizing and Condescending Language (PCL) Detection This task is from SemEval 2022. What is Patronizing and Condescending Language (PCL

Daniel Saeedi 0 Aug 05, 2022