Showing 3 open source projects for "programming without coding"

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  • Stay in Flow. Let Zenflow Handle the Heavy Lifting. Icon
    Stay in Flow. Let Zenflow Handle the Heavy Lifting.

    Your AI engineering control center. Zenflow turns specs into shipped features using parallel agents and multi-repo intelligence.

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    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

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  • 1
    Thinc

    Thinc

    A refreshing functional take on deep learning

    Thinc is a lightweight deep learning library that offers an elegant, type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow and MXNet. You can use Thinc as an interface layer, a standalone toolkit or a flexible way to develop new models. Previous versions of Thinc have been running quietly in production in thousands of companies, via both spaCy and Prodigy.
    Downloads: 0 This Week
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  • 2
    AWS Neuron

    AWS Neuron

    Powering Amazon custom machine learning chips

    AWS Neuron is a software development kit (SDK) for running machine learning inference using AWS Inferentia chips. It consists of a compiler, run-time, and profiling tools that enable developers to run high-performance and low latency inference using AWS Inferentia-based Amazon EC2 Inf1 instances. Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. You can...
    Downloads: 0 This Week
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  • 3
    Stanford Machine Learning Course

    Stanford Machine Learning Course

    machine learning course programming exercise

    ...The exercises serve as practical, hands-on reinforcement of theoretical concepts taught in the course. This collection is valuable for students and practitioners who want to strengthen their skills in machine learning through coding exercises.
    Downloads: 0 This Week
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