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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
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A PyTorch implementation of DeepDream.
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A parallel neural net microframework.
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A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Machine learning for NeuroImaging in Python.
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Natural Language processing in the browser.
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An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A Julia package for non-negative matrix factorization.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Nn builder is a python package that lets you build neural networks in 1 line.
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This package provides graphical computation for nn library in Torch7.
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An open source AutoML toolkit for automate machine learning lifecycle.
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A completely unstable and experimental package that extends Torch's builtin nn library.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source module for running AI workloads on Kubernetes in an optimized way.
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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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Reference implementations of ML models written in numpy.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.