Search results
Results from the WOW.Com Content Network
In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux Foundation. [ 24 ] PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo , a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and ...
When the constructor is called, torch initializes and sets a Lua table with the user-defined metatable, which makes the table an object. Objects created with the torch factory can also be serialized, as long as they do not contain references to objects that cannot be serialized, such as Lua coroutines , and Lua userdata .
The Open Neural Network Exchange (ONNX) [ˈɒnɪks] [2] is an open-source artificial intelligence ecosystem [3] of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector.
PyTorch Lightning is an open-source Python library that provides a high-level interface for PyTorch, a popular deep learning framework. [1] It is a lightweight and high-performance framework that organizes PyTorch code to decouple research from engineering, thus making deep learning experiments easier to read and reproduce.
Read Me First! A Style Guide for the Computer Industry, by Sun Technical Publications, 3rd ed., 2010. [25] Red Hat style guide for technical documentation, published online by Red Hat. [26] Salesforce style guide for documentation and user interface text, published online by Salesforce. [27] The Splunk Style Guide, published online by Splunk. [28]
User's guide for a Dulcitone keyboard. A user guide, also commonly known as a user manual, is intended to assist users in using a particular product, service or application. It's usually written by a technician, product developer, or a company's customer service staff. Most user guides contain both a written guide and associated images.
Vision Transformer architecture, showing the encoder-only Transformer blocks inside. The basic architecture, used by the original 2020 paper, [1] is as follows. In summary, it is a BERT-like encoder-only Transformer.
Automated machine learning (AutoML) is the process of automating the tasks of applying machine learning to real-world problems. It is the combination of automation and ML. [1]