Alexander Hagelborn (hagelborn)

hagelborn

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Location:Malmö

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Alexander Hagelborn's starred repositories

RAGatouille

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

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Scrapegraph-ai

Python scraper based on AI

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lang-segment-anything

SAM with text prompt

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Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

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instructor

structured outputs for llms

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mlx-examples

Examples in the MLX framework

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ColBERT

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

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dspy

DSPy: The framework for programming—not prompting—foundation models

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GLiNER

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024

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usearch

Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

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topicwizard

Powerful topic model visualization in Python

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AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

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instructor-embedding

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

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FederatedGPT-Shepherd

Shepherd: A foundational framework enabling federated instruction tuning for large language models

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Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

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hyperopt-sklearn

Hyper-parameter optimization for sklearn

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langstream

Build robust LLM applications with true composability 🔗

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alibi

Algorithms for explaining machine learning models

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llama_index

LlamaIndex is a data framework for your LLM applications

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llama-cpp-python

Python bindings for llama.cpp

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rymscraper

Python library to extract data from rateyourmusic.com.

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vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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llama

Inference code for Llama models

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hnswlib

Header-only C++/python library for fast approximate nearest neighbors

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POT

POT : Python Optimal Transport

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hyde

HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels

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act

Run your GitHub Actions locally 🚀

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install-poetry

Github action for installing and configuring Poetry

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sklearn-pandas

Pandas integration with sklearn

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