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Deep learning framework written in Kotlin.
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Published directory entries matching your search.
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Koç University Deep Learning Framework.
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A library of statistical distribution sampling and transducing functions.
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Easy-to-use, scalable hyperparameter optimization framework.
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Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
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A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A project to make it easier to use large external knowledge bases with LLMs.
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Framework to connect a flow of ML models by applying graph theory.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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An open-source visual programming environment for battle-testing prompts to LLMs.
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Toolset for black-box hyperparameter optimisation.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
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Distributed Asynchronous Hyperparameter Optimization in Python.
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General Automated Machine Learning Framework.
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A very simple wrapper for convenient hyperparameter optimization.
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A framework for elegantly configuring complex applications.
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Library for hyperparameter optimization and black box optimization benchmarks.
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Framework for distributed hyperparameter optimization.
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Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
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Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
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Fundamentals of machine learning in python.