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
Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space"

Sparse Steerable Convolution (SS-Conv) Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and

25 Dec 21, 2022
Code for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)

MASTER-PyTorch PyTorch reimplementation of "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021). This projec

Wenwen Yu 255 Dec 29, 2022
Python based framework for Automatic AI for Regression and Classification over numerical data.

Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.

BlobCity, Inc 141 Dec 21, 2022
The official implementation of the IEEE S&P`22 paper "SoK: How Robust is Deep Neural Network Image Classification Watermarking".

Watermark-Robustness-Toolbox - Official PyTorch Implementation This repository contains the official PyTorch implementation of the following paper to

49 Dec 19, 2022
Image Segmentation Evaluation

Image Segmentation Evaluation Martin Keršner, [email protected] Evaluation

Martin Kersner 273 Oct 28, 2022
Discord-Protect is a simple discord bot allowing you to have some security on your discord server by ordering a captcha to the user who joins your server.

Discord-Protect Discord-Protect is a simple discord bot allowing you to have some security on your discord server by ordering a captcha to the user wh

Tir Omar 2 Oct 28, 2021
Offical code for the paper: "Growing 3D Artefacts and Functional Machines with Neural Cellular Automata" https://arxiv.org/abs/2103.08737

Growing 3D Artefacts and Functional Machines with Neural Cellular Automata Video of more results: https://www.youtube.com/watch?v=-EzztzKoPeo Requirem

Robotics Evolution and Art Lab 51 Jan 01, 2023
Python code to fuse multiple RGB-D images into a TSDF voxel volume.

Volumetric TSDF Fusion of RGB-D Images in Python This is a lightweight python script that fuses multiple registered color and depth images into a proj

Andy Zeng 845 Jan 03, 2023
.NET bindings for the Pytorch engine

TorchSharp TorchSharp is a .NET library that provides access to the library that powers PyTorch. It is a work in progress, but already provides a .NET

Matteo Interlandi 17 Aug 30, 2021
The repo contains the code of the ACL2020 paper `Dice Loss for Data-imbalanced NLP Tasks`

Dice Loss for NLP Tasks This repository contains code for Dice Loss for Data-imbalanced NLP Tasks at ACL2020. Setup Install Package Dependencies The c

223 Dec 17, 2022
DABO: Data Augmentation with Bilevel Optimization

DABO: Data Augmentation with Bilevel Optimization [Paper] The goal is to automatically learn an efficient data augmentation regime for image classific

ElementAI 24 Aug 12, 2022
Video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR.

Official Discussion Group (Telegram): https://t.me/video2x A Discord server is also available. Please note that most developers are only on Telegram.

K4YT3X 5.9k Dec 31, 2022
Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"

Self-Supervised Prototypical Transfer Learning for Few-Shot Classification This repository contains the reference source code and pre-trained models (

EPFL INDY 44 Nov 04, 2022
[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

COCO-LM This repository contains the scripts for fine-tuning COCO-LM pretrained models on GLUE and SQuAD 2.0 benchmarks. Paper: COCO-LM: Correcting an

Microsoft 106 Dec 12, 2022
Implementation of Pix2Seq in PyTorch

pix2seq-pytorch Implementation of Pix2Seq paper Different from the paper image input size 1280 bin size 1280 LambdaLR scheduler used instead of Linear

Tony Shin 9 Dec 15, 2022
LAMDA: Label Matching Deep Domain Adaptation

LAMDA: Label Matching Deep Domain Adaptation This is the implementation of the paper LAMDA: Label Matching Deep Domain Adaptation which has been accep

Tuan Nguyen 9 Sep 06, 2022
Style transfer, deep learning, feature transform

FastPhotoStyle License Copyright (C) 2018 NVIDIA Corporation. All rights reserved. Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons

NVIDIA Corporation 10.9k Jan 02, 2023
Yoloxkeypointsegment - An anchor-free version of YOLO, with a simpler design but better performance

Introduction 关键点版本：已完成 全景分割版本：已完成 实例分割版本：已完成 YOLOX is an anchor-free version of

23 Oct 20, 2022
TensorFlow 2 implementation of the Yahoo Open-NSFW model

TensorFlow 2 implementation of the Yahoo Open-NSFW model

Bosco Yung 101 Jan 01, 2023
Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis"

StrengthNet Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis" https://arxiv.org/abs/2110

RuiLiu 65 Dec 20, 2022