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mlpack is a free, open-source and header-only software library for machine learning and artificial intelligence written in C++, built on top of the Armadillo library and the ensmallen numerical optimization library. [3] mlpack has an emphasis on scalability, speed, and ease-of-use.
C++ is a compiled language that can interact with low-level hardware. In the context of AI, it is particularly used for embedded systems and robotics. Libraries such as TensorFlow C++, Caffe or Shogun can be used. [1] JavaScript is widely used for web applications and can notably be executed with web browsers. Libraries for AI include ...
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llama.cpp is an open source software library that performs inference on various large language models such as Llama. [3] It is co-developed alongside the GGML project, a general-purpose tensor library. [4] Command-line tools are included with the library, [5] alongside a server with a simple web interface. [6] [7]
OpenNN is a general purpose artificial intelligence software package. [5] It uses machine learning techniques for solving predictive analytics tasks in different fields. For instance, the library has been applied in the engineering, energy, or chemistry sectors.
C++: Graphical user interface: Yes No Yes No Analytical differentiation No No No No Yes Yes OpenNN: Artelnics 2003 GNU LGPL: Yes Cross-platform: C++: C++: Yes No Yes No ? ? No No No ? Yes PlaidML: Vertex.AI, Intel: 2017 Apache 2.0: Yes Linux, macOS, Windows: Python, C++, OpenCL: Python, C++? Some OpenCL ICDs are not recognized No No Yes Yes Yes ...
This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]
TensorFlow is a software library for machine learning and artificial intelligence. It can be used across a range of tasks, but is used mainly for training and inference of neural networks. [3] [4] It is one of the most popular deep learning frameworks, alongside others such as PyTorch and PaddlePaddle.