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Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Deeplearning4j is a JVM-based deep learning framework and tensor computing library. It provides a computational graph engine for defining and executing deep learning workflows and mathematical operations within the Java Virtual Machine. The project includes a dedicated importer for loading and running pretrained models exported from Keras, TensorFlow, and ONNX formats. Its tensor computing capabilities are driven by a modular native C++ math core to execute high-performance linear algebra operations. The framework covers neural network training, deep learning model inference, and the constru
Tensorflow + Go, the gopher way
The main features of galeone/tfgo are: AI and Machine Learning, Machine Learning.
Projects with overlapping indexed features include: cdipaolo/goml — On-line Machine Learning in Go (and so much more). fidoproject/fido — A lightweight C++ machine learning library for embedded electronics and robotics. attractivechaos/kann — A lightweight C library for artificial neural networks. bayeswitnesses/m2cgen — Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,… deeplearning4j/deeplearning4j — Deeplearning4j is a JVM-based deep learning framework and tensor computing library. It provides a computational graph… gorgonia/gorgonia — Gorgonia is a Go library that provides an automatic differentiation engine and a computation graph framework for…
