David Berenstein (davidberenstein1957)

davidberenstein1957

User data from Github https://github.com/davidberenstein1957

Company:@Giskard-AI & @PrunaAI

Location:Madrid

Home Page:https://www.linkedin.com/in/david-berenstein-1bab11105/

GitHub:@davidberenstein1957

Twitter:@davidberen1957


Organizations
Giskard-AI
PrunaAI

David Berenstein's repositories

classy-classification

This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.

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davidberenstein1957

πŸ‘¨πŸ½β€πŸ³ Cooking, πŸ‘¨πŸ½β€πŸ’» Coding, πŸ† Committing

cleaners

Your lightweight library for dataset cleaning

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awesome-synthetic-data

A curated list of awesome synthetic data tools (open source and commercial).

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blog

Public repo for HF blog posts

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goose

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

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llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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model2vec-setfit

Model2Vec: Distill a Small Fast Model from any Sentence Transformer

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political-statement-evaluator

Work for De Groene Amsterdammer, a Dutch opinion newspaper, to investigate political statements made during talkshows.

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scratchpad

Random projects concepts and ideas.

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vicinity

Lightweight Nearest Neighbors with Flexible Backends

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awesome-open-source-ai-tools

Awesome Open Source AI Tools

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cookbook

Open-source AI cookbook

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datasets-llama-index

A public repo that contains integrations for Hugging Face datasets and LlamaIndex.

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diffusers

πŸ€— Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

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distilabel

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

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GLiNER.cpp

C++ inference engine for running GLiNER (Generalist and Lightweight Named Entity Recognition) models

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gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

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haystack

:mag: 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 data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

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huggingface.js

Use Hugging Face with JavaScript

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ImageReward

[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

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langfuse-python

πŸͺ’ Langfuse Python SDK - Instrument your LLM app with decorators or low-level SDK and get detailed tracing/observability. Works with any LLM or framework

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llama_index

LlamaIndex is a data framework for your LLM applications

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logits-processor-zoo

A collection of LogitsProcessors to customize and enhance LLM behavior for specific tasks.

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pruna

Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.

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semhash

Fast Semantic Text Deduplication

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smol-course

A course on aligning smol models.

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smolagents

πŸ€— smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.

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