code-kern-ai / embeddersLinks
With embedders, you can easily convert your texts into sentence- or token-level embeddings within a few lines of code. Use cases for this include similarity search between texts, information extraction such as named entity recognition, or basic text classification.
☆21Updated 5 months ago
Alternatives and similar repositories for embedders
Users that are interested in embedders are comparing it to the libraries listed below
Sorting:
- spaCy match and replace, maintaining conjugation☆36Updated 3 years ago
- ☆30Updated 3 years ago
- ☆43Updated 2 years ago
- Source code and data for Like a Good Nearest Neighbor☆30Updated last year
- Simply, faster, sentence-transformers☆143Updated last year
- 💫 SpaCy wrapper for ConceptNet 💫☆95Updated last week
- Sentence transformers models for SpaCy☆109Updated 2 years ago
- Python package for deduplication/entity resolution using active learning☆83Updated last year
- Recon NER, Debug and correct annotated Named Entity Recognition (NER) data for inconsistencies and get insights on improving the quality …☆105Updated last year
- This repository contains an easy and intuitive approach to use SetFit in combination with spaCy.☆80Updated 2 years ago
- Generate reports for spaCy models.☆29Updated 3 years ago
- Neural Solr = Solr 9 + Mighty Inference + Node☆18Updated 3 years ago
- Interpretable feature construction from taxonomies for text classification☆18Updated 3 years ago
- With sequence-learn, you can build models for named entity recognition as quickly as if you were building a sklearn classifier.☆22Updated 3 years ago
- Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML☆65Updated 11 months ago
- A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently…☆108Updated last year
- An example of how to use spaCy for extremely large files without running into memory issues☆36Updated 3 years ago
- Custom Natural Language Processing with big and small models 🌲🌱☆66Updated 4 years ago
- Augmenty is an augmentation library based on spaCy for augmenting texts.☆156Updated last year
- A Python library aimed at dissecting and augmenting NER training data.☆59Updated 2 years ago
- 🧪 Cutting-edge experimental spaCy components and features☆105Updated last year
- Efficient BM25 with DuckDB 🦆☆59Updated last year
- XAI based human-in-the-loop framework for automatic rule-learning.☆49Updated last year
- RaKUn 2.0 - A fast keyword detection algorithm☆69Updated 5 months ago
- Asent is a python library for performing efficient and transparent sentiment analysis using spaCy.☆120Updated 2 months ago
- ☆55Updated 2 years ago
- ☆47Updated 2 years ago
- ☆68Updated 3 years ago
- This is a prototype of a multi-lingual suite for named-entity recognition in Python.☆21Updated last year
- [EMNLP 2023 Demo] fabricator - annotating and generating datasets with large language models.☆111Updated last year