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📚 NLP
💫 Industrial-strength Natural Language Processing (NLP) in Python
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your d…
Code and data for inducing domain-specific sentiment lexicons.
skweak: A software toolkit for weak supervision applied to NLP tasks
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
An easy way to extract information from documents
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
LLM Chain for answering questions from documents with citations
Locally run an Instruction-Tuned Chat-Style LLM
The simplest way to run LLaMA on your local machine
[Unmaintained, see README] An ecosystem of Rust libraries for working with large language models
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
Repo containing the slides and notebook presented at Deepchecks' NLP webinar on 29.03.2023
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80 languages recognition, provide data annotation and synthesis tools, support training and…
Unsupervised text tokenizer for Neural Network-based text generation.
A python toolkit to create Visualizations (Vis) using natural language (NL) or add an NL interface to existing Vis.
Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
📄 🤖 Semantic search and workflows for medical/scientific papers
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.