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Model Training Pipelines · Awesome GitHub Repositories

5 repos

Awesome GitHub RepositoriesModel Training Pipelines

End-to-end workflows and scripts for sourcing datasets, training models, and validating performance across various machine learning tasks.

Explore 5 awesome GitHub repositories matching artificial intelligence & ml · Model Training Pipelines. Refine with filters or upvote what's useful.

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Awesome Model Training Pipelines GitHub Repositories

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  • d2l-ai/d2l-zh

    d2l-ai/d2l-zh

    75,708GitHubView on GitHub↗

    This project is an open-source, interactive educational platform designed to teach deep learning through a comprehensive, code-first curriculum. It provides a structured learning path that covers foundational mathematics, modern neural network architectures, and practical optimization techniques, enabling practitioners

    Pythonbookchinesecomputer-vision
  • awesomedata/awesome-public-datasets

    awesomedata/awesome-public-datasets

    72,846GitHubView on GitHub↗

    This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, t

    aaron-swartzawesome-public-datasetsdatasets
  • tesseract-ocr/tesseract

    tesseract-ocr/tesseract

    72,460GitHubView on GitHub↗

    Tesseract is a neural network-based optical character recognition engine designed to convert scanned images and digital documents into machine-readable, searchable text. It functions as both a command-line utility for automating large-scale digitization workflows and a cross-platform library that can be embedded into d

    C++hacktoberfestlstmmachine-learning
  • CorentinJ/Real-Time-Voice-Cloning

    CorentinJ/Real-Time-Voice-Cloning

    59,355GitHubView on GitHub↗

    This project is a neural text-to-speech engine and voice cloning toolkit designed to generate synthetic speech that mimics the vocal characteristics of a target speaker. It functions as a real-time audio synthesizer, utilizing a deep learning pipeline to convert written text into high-fidelity speech output with minima

    Pythondeep-learningpythonpytorch
  • karpathy/nanoGPT

    karpathy/nanoGPT

    53,461GitHubView on GitHub↗

    nanoGPT is a lightweight engine for training and fine-tuning transformer-based language models from scratch. It provides a minimalist codebase designed for educational exploration and rapid experimentation with neural network architectures, utilizing self-attention and feed-forward layers to process sequences and predi

    Python