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Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
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Machine Learning framework for rapid development of Machine Learning and Statistical applications.
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A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
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A fast Clojure Tensor & Deep Learning library.
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Scalable deep learning for industry with parallel GPUs.
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Deep learning optimization library that makes distributed training easy, efficient, and effective.
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An open source machine learning framework in Rust Δ.
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Train and run a computer vision model with 5-10 lines of code.
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Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
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Deep learning in Rust, with shape checked tensors and neural networks.
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The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
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A deep learning-based translation library between 50 languages, built with transformers.
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DnD-Books is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Many useful features that aren't part of the main nn package.
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Python library for scalable Bayesian optimisation.
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Drone Logbook is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Reading Wikipedia to answer open-domain questions.
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High performance library for time series distances (DTW) and time series clustering.
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Design and Deploy Large Language Model Apps.
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Python library for experiment metrics logging into simply formatted local files.
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An evolutionary optimization library.
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E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy, TikTok Shop, and all platforms.
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Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
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Python package which helps to debug machine learning classifiers and explain their predictions.