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David Berenstein

Username    David.Berenstein
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20 projects

dspydantic

Last released

Optimize Pydantic model field descriptions using DSPy

neurosymbols

Last released

Creating the deterministic logic layer for LLMs

pruna-client

Last released

Official Pruna API client for synchronous and asynchronous image generation and editing

strike

Last released

Thrust is a library for building guardrails for your models.

parry

Last released

Parry is a library for building guardrails for your models.

enguard

Last released

One guardrail for all, all guardrails for one!

synthetic-dataset-generator

Last released

Build datasets using natural language

observers

Last released

🤗 Observers: A Lightweight Library for AI Observability

classy-classification

Last released

Have you every struggled with needing a Spacy TextCategorizer but didn't have the time to train one from scratch? Classy Classification is the way to go!

cleaners

Last released

Build datasets using natural language

dataset-viber

Last released

Dataset Viber is your chill repo for data collection, annotation and vibe checks.

fast-sentence-transformers

Last released

This repository contains code to run faster sentence-transformers. Simply, faster, sentence-transformers.

spacy-setfit

Last released

crosslingual-coreference

Last released

A multi-lingual approach to AllenNLP CoReference Resolution, along with a wrapper for spaCy.

concise-concepts

Last released

This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity confidence scores!

adept-augmentations

Last released

A Python library aimed at adeptly, augmenting NLP training data.

peal

Last released

A package dedicated to using PEFT for active-learning, hence PEAL.

argilla-plugins

Last released

🔌 Open-source plugins for with practical features for Argilla using listeners.

mutate-nlp

Last released

Text data synthesize and pseudo labelling using LLMs

piontologyextractor

Last released

A package that can deal with extracting useful info from our Graph Ontology.

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