Showing 3 open source projects for "loop-aes"

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    OpenScience

    OpenScience

    The open-source AI workbench for scientific research

    OpenScience is an open-source AI workbench for scientific research. It lets users give an agent a research goal, then have it read literature, form hypotheses, write and run code, run experiments, analyze results, and write up findings. The workspace runs in the browser and includes a file tree, editor, terminal, session history, and scientific rendering for molecules, structures, genomes, and plots. It supports frontier, open-weight, and local models through bring-your-own-key provider...
    Downloads: 4 This Week
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  • 2
    Open Source Vizier

    Open Source Vizier

    Python-based research interface for blackbox

    ...A wide collection of objective functions and methods to benchmark and compare algorithms. Define a problem statement and study configuration. Setup a local server, setup a client to connect to the server, perform a typical tuning loop, and use other client APIs.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Catalyst

    Catalyst

    Accelerated deep learning R&D

    ...It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make something totally new. Catalyst is compatible with Python 3.6+. PyTorch 1.1+, and has been tested on Ubuntu 16.04/18.04/20.04, macOS 10.15, Windows 10 and Windows Subsystem for Linux. ...
    Downloads: 1 This Week
    Last Update:
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