FluxML/model-zoo
Please do not feed the models
This collection offers ready-to-use examples for building machine learning models across different domains. You can start with pre-built neural network architectures for tasks like image classification (e.g., MNIST, CIFAR10) or text processing (e.g., character-level language detection), input your own data, and adapt the models for your specific needs. It's designed for machine learning practitioners and researchers who want to quickly experiment with or implement deep learning solutions.
933 stars. No commits in the last 6 months.
Use this if you are a machine learning practitioner looking for established neural network architectures and example code to kickstart your deep learning projects in computer vision, natural language processing, or other areas.
Not ideal if you are looking for a plug-and-play application that solves a specific business problem without any coding or model customization.
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Nov 25, 2024
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