deeplearn-rs
deeplearn-rs is a deep learning in rust that can be used to build trainable matrix compptation graphs that are configurable at runtime.
Best deeplearn-rs Alternatives & Competitors in 2024
The best deeplearn-rs alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
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DeepDetect is a deep learning API and server that is written in C++11 to makes deep learning easy to work with and integrate into existing applications.
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Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future!
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Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.
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Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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Heroku for deep learning
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Social media analytics platform
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Sponsors. Use Mocha at Work? Ask your manager or marketing team if they'd help support our project. Your company's logo will also be displayed on npmjs. com and our GitHub repository.
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Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: tight integration with NumPy – Use numpy.
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Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.
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Caffe is an open source, deep learning framework.
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DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.
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BigDL is a distributed deep learning library for Apache Spark.
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Deep Scalable Sparse Tensor Network Engine (DSSTNE) is a library for building Deep Learning (DL) and machine learning (ML) models.