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#

embeddings-extraction

Here are 9 public repositories matching this topic...

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text-to-image-eval

Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.

  • UpdatedJan 15, 2025
  • Jupyter Notebook

Identifying individual speakers in an audio stream based on the unique characteristics found in individual voices using Python

  • UpdatedJun 18, 2023
  • Jupyter Notebook

A robust, all-in-one GPT3 interface for Discord. Chat just like ChatGPT right inside Discord! Generate beautiful AI art using DALL-E 2! Automatically moderate your server using AI!

  • UpdatedJan 14, 2023
  • Python

BetterRAG: Powerful RAG evaluation toolkit for LLMs. Measure, analyze, and optimize how your AI processes text chunks with precision metrics. Perfect for RAG systems, document processing, and embedding quality assessment.

  • UpdatedMar 26, 2025
  • Python

ResumeScorer is an intelligent resume screening tool that leverages Natural Language Processing (NLP) techniques to assess the relevance of resumes against a given job description. The core idea is to reduce manual screening time and improve candidate-job matching through semantic similarity.

  • UpdatedApr 5, 2025
  • Jupyter Notebook

Unified embedding extraction for decoder-only LLMs with support for pooling strategies, quantization, and layer selection.

  • UpdatedJan 29, 2026
  • Python

A document-based Question-Answering system using LangChain, HuggingFace Embeddings, Ollama (Mistral), Chroma, and FAISS — all running locally.

  • UpdatedApr 17, 2025
  • Python

It combines text embeddings to search through the documents of the European Central Bank for 2025, uses prompting to generate clear, friendly answers, and builds builds a question-answering app (RAG).

  • UpdatedSep 16, 2025
  • Jupyter Notebook

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