|12 days ago||11 days ago|
|Apache License 2.0||Apache License 2.0|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Document Parsing - an unsolved problem?
5 projects | reddit.com/r/LanguageTechnology | 19 Jul 2022
At my previous job we had the same problem which we solved by using Tika. We called it on the server along with other stuff, but there is also a Python binding.
Extract text from PDF
7 projects | reddit.com/r/Python | 2 Nov 2021
Hey, I’ve spent quite a bit of time looking at extracting text as accurately as possibly from PDFs, it’s turns out that it is not as simple as it might seem. It is especially tricky once you get a wide variety of PDFs (including PDFs with image based text or tables). While I unfortunately cannot share the code I used to extract this text, I will tell you that for what I think your doing, the best solution will require a few things. First you should pick a good module. I’ve spent a long time going over open source solutions to this and the best two I’d say are Excalibur and Apache Tika .7 projects | reddit.com/r/Python | 2 Nov 2021
Tika is from Apache so yes its original code base is Java but it has bindings in other languages. Checkout Tika-Python!
Extract text from documents
5 projects | dev.to | 27 Mar 2021
The Textractor instance is the main entrypoint for extracting text. This method is backed by Apache Tika, a robust text extraction library written in Java. Apache Tika has support for a large number of file formats: PDF, Word, Excel, HTML and others. The Python Tika package automatically installs Tika and starts a local REST API instance used to read extracted data.
Introducing the Overflow Offline project
4 projects | reddit.com/r/programming | 21 Oct 2022
codequestion 2.0 was recently released which does something similar. It builds builds an offline semantic index using txtai on the archive.org Stack Overflow dumps.
Txtai 5.1 released: new translation models, Whisper transcription and ARM images
2 projects | news.ycombinator.com | 18 Oct 2022
txtai 5.1 adds new model support for the translation pipeline, OpenAI Whisper support in the transcription pipeline and ARM Docker images. Topic modeling was also updated with improvements, including how to use BM25/TF-IDF indexes to drive topic models.
Release notes: https://github.com/neuml/txtai/releases/tag/v5.1.02 projects | news.ycombinator.com | 18 Oct 2022
txtai 5.1 released - new translation models, OpenAI Whisper transcription and ARM Docker images
2 projects | reddit.com/r/programming | 18 Oct 2022
Release notes: https://github.com/neuml/txtai/releases/tag/v5.1.02 projects | reddit.com/r/programming | 18 Oct 2022
GitHub Copilot investigation
5 projects | news.ycombinator.com | 17 Oct 2022
As an open-source developer with a fairly popular project (https://github.com/neuml/txtai - 2.6K+ stars), I'll say GitHub Copilot doesn't concern me but I understand the rationale.
I actually think with some additions it can be beneficial to the open-source community and introduce developers to libraries they couldn't quite articulate a google search for.
For example, one good addition to Copilot and really any generative AI tools would be a method of attribution. Code would be one of the easier ones. When generating a function snippet, add footnotes/citations for the top 3-5 most similar functions in the training database. This can be accomplished with a semantic index over the training set.
Semantic search, transcription and translation on Apple Silicon
2 projects | reddit.com/r/apple | 16 Oct 2022
GitHub - https://github.com/neuml/txtai Examples - https://neuml.hashnode.dev/series/txtai-tutorial OpenAI Whisper - https://github.com/openai/whisper
Learn how to build semantic search applications with over 35+ example notebooks
2 projects | reddit.com/r/learnmachinelearning | 10 Oct 2022
Table of example notebooks: https://github.com/neuml/txtai#examples Documentation: https://neuml.github.io/txtai/2 projects | reddit.com/r/learnmachinelearning | 10 Oct 2022
Storing word / document vectors in RDBMS
5 projects | reddit.com/r/LanguageTechnology | 27 Sep 2022
I have project, txtai that supports vector/semantic/similarity search. It pairs an ANN index with a relational database to support SQL queries.
What are some alternatives?
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
faiss - A library for efficient similarity search and clustering of dense vectors.
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
CLIP - Contrastive Language-Image Pretraining
py-pdf-parser - A Python tool to help extracting information from structured PDFs.
contextualized-topic-models - A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
paperai - 📄 🤖 AI-powered literature discovery and review engine for medical/scientific papers
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
Lobsters - Computing-focused community centered around link aggregation and discussion
txtai.go - Build AI-powered semantic search applications in Go