Showing 6 open source projects for "vector linux 32bit"

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  • 1
    PageIndex

    PageIndex

    Document Index for Vectorless, Reasoning-based RAG

    PageIndex is an innovative open-source framework that reimagines retrieval-augmented generation (RAG) by eliminating conventional vector similarity search and instead building hierarchical semantic indexes that mirror a document’s natural structure. Rather than chunking text and embedding it into a vector database, PageIndex constructs a tree-structured index — similar to a detailed, AI-enhanced table of contents — that a large language model can traverse to locate the most relevant sections...
    Downloads: 0 This Week
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  • 2
    fastNLP

    fastNLP

    fastNLP: A Modularized and Extensible NLP Framework

    fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models...
    Downloads: 1 This Week
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  • 3
    SentEval

    SentEval

    A python tool for evaluating the quality of sentence embeddings

    SentEval is a standardized toolkit for evaluating sentence embeddings across a wide spectrum of downstream tasks and probing tests. It defines a simple interface—provide an encoder function from sentences to vectors—and then runs consistent training/evaluation loops for tasks like sentiment, entailment, paraphrase, and semantic textual similarity. The suite also contains linguistic probing tasks that illuminate what properties embeddings capture, such as tense, word order, or syntactic...
    Downloads: 0 This Week
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  • 4
    node2vec

    node2vec

    Learn continuous vector embeddings for nodes in a graph using biased R

    The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction....
    Downloads: 2 This Week
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  • 5

    basVec2DLibs

    Python 2D Vector libraries for Pygame

    2D Vector Libraries that I have developed. Allows creation of vector models, will check for collisions and can track gravity for the model. Allows models to have optional components. See screenshots. Requires Pygame as a dependency
    Downloads: 0 This Week
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  • 6
    A collection of python coding utilities. Downloads can be found at: http://pypi.python.org/pypi/pytilities/
    Downloads: 0 This Week
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