Convert Machine Learning Code Between Frameworks
- python
- tensorflow
- pytorch
- numpy
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Convert Machine Learning Code Between Frameworks
Open Machine Learning Compiler Framework
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
PeachPie - the PHP compiler and runtime for .NET and .NET Core
Tools for developers to create truly open IoT products using standard JavaScript on low cost microcontrollers.
TensorFlow for R
tensorflow for ruby
[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark
OCaml bindings for PyTorch
A fast and efficient type assistant for Python, including tensor shape inference
Open-source transpiled programming language that helps you write clean code, well-designed systems, and build high-quality software that is testable, auditable and maintainable. Like what you see? Don't forget to star! :star: ^^^
The project provides high-performance concurrency, enabling highly parallel computation.
OCaml bindings for TensorFlow
TensorFlow.Delphi (TF.Delphi) provides a Delphi(Pascal) Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in Delphi which allows Pascal developers to develop, train and deploy Machine Learning models with the Pascal Delphi
Keras4Delphi is a high-level neural networks API, written in Pascal with Python Binding
Tensorflow wrapper for D