Showing 9 open source projects for "process map"

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  • 1
    Anything to NotebookLM

    Anything to NotebookLM

    Multi-source content processor for NotebookLM

    ...It is built for users who want to convert articles, web pages, videos, PDFs, office files, podcasts, images, and search results into more usable study or presentation formats. The project uses natural-language commands, so the user can ask for a podcast, slide deck, mind map, report, quiz, flashcards, or infographic without manually building the workflow. It supports multilingual material, with especially strong use cases for Chinese and English content. The tool can process files locally, extract or transcribe content when needed, and hand the cleaned material to NotebookLM for generation. It is best suited for researchers, students, content curators, and knowledge workers who regularly turn scattered information into organized learning assets.
    Downloads: 1 This Week
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  • 2
    segment-geospatial

    segment-geospatial

    A Python package for segmenting geospatial data with the SAM

    The segment-geospatial package draws its inspiration from segment-anything-eo repository authored by Aliaksandr Hancharenka. To facilitate the use of the Segment Anything Model (SAM) for geospatial data, I have developed the segment-anything-py and segment-geospatial Python packages, which are now available on PyPI and conda-forge. My primary objective is to simplify the process of leveraging SAM for geospatial data analysis by enabling users to achieve this with minimal coding effort. I...
    Downloads: 0 This Week
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  • 3
    cognee

    cognee

    Deterministic LLMs Outputs for AI Applications and AI Agents

    ...Cognee acts a semantic memory layer, unveiling hidden connections within your data and infusing it with your company's language and principles. This self-optimizing process ensures ultra-relevant, personalized, and contextually aware LLM retrievals. Any kind of data works; unstructured text or raw media files, PDFs, tables, presentations, JSON files, and so many more. Add small or large files, or many files at once. We map out a knowledge graph from all the facts and relationships we extract from your data. ...
    Downloads: 0 This Week
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  • 4
    Caire

    Caire

    Content aware image resize library

    Caire is a content aware image resize library based on Seam Carving for Content-Aware Image Resizing paper. An energy map (edge detection) is generated from the provided image. The algorithm tries to find the least important parts of the image taking into account the lowest energy values. Using a dynamic programming approach the algorithm will generate individual seams across the image from top to down, or from left to right (depending on the horizontal or vertical resizing) and will...
    Downloads: 0 This Week
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  • 5
    2020 Machine Learning Roadmap

    2020 Machine Learning Roadmap

    A roadmap connecting many of the most important concepts

    machine-learning-roadmap is an open-source educational project that provides a visual and conceptual guide to the most important ideas and tools in machine learning. The repository organizes machine learning knowledge into a structured roadmap that helps learners understand how different concepts connect within the field. It outlines the typical workflow of solving machine learning problems, starting from problem formulation and data preparation to model training and evaluation. The roadmap...
    Downloads: 1 This Week
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  • 6
    Diffusers-Interpret

    Diffusers-Interpret

    Model explainability for Diffusers

    ...Model explainability for Diffusers. Get explanations for your generated images. Install directly from PyPI. It is possible to visualize pixel attributions of the input image as a saliency map. diffusers-interpret also computes these token/pixel attributions for generating a particular part of the image. To analyze how a token in the input prompt influenced the generation, you can study the token attribution scores. You can also check all the images that the diffusion process generated at the end of each step. Gradient checkpointing also reduces GPU usage, but makes computations a bit slower.
    Downloads: 0 This Week
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  • 7
    GluonNLP

    GluonNLP

    NLP made easy

    GluonNLP is a toolkit that helps you solve NLP problems. It provides easy-to-use tools that helps you load the text data, process the text data, and train models. To facilitate both the engineers and researchers, we provide command-line-toolkits for downloading and processing the NLP datasets. Gluon NLP makes it easy to evaluate and train word embeddings. Here are examples to evaluate the pre-trained embeddings included in the Gluon NLP toolkit as well as example scripts for training...
    Downloads: 0 This Week
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  • 8
    HW SOM

    HW SOM

    SOM - Self-Organizing Maps of Teuvo Kohonen

    It's a "Hello World" implementation of SOM (Self-Organizing Map) of Teuvo Kohonen, otherwise called as the Kohonen map or Kohonen artificial neural networks.
    Downloads: 0 This Week
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  • 9
    ZenKEY
    ZenKEY is a keyboard controller and window manager for Windows. It provides an 'Infinite Desktop' space, a 'Desktop Map', 'Automatic window transparency', 'Live Icons' for process monitoring and an unlimited, flexible pop-up menu system.
    Downloads: 0 This Week
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