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Horovod is a free and open-source software framework for distributed deep learning training using TensorFlow, Keras, PyTorch, and Apache MXNet. Horovod is hosted under the Linux Foundation AI (LF AI). [3] Horovod has the goal of improving the speed, scale, and resource allocation when training a machine learning model. [4]
Dask does not power XGBoost or LightGBM, rather it facilitates setting up of the cluster, scheduler, and workers required then hands off the data to the machine learning framework to perform distributed training. Training an XGBoost model with Dask, [30] a Dask cluster is composed of a central scheduler and multiple distributed workers, is ...
A TPU is a programmable AI accelerator designed to provide high throughput of low-precision arithmetic (e.g., 8-bit), and oriented toward using or running models rather than training them. Google announced they had been running TPUs inside their data centers for more than a year, and had found them to deliver an order of magnitude better ...
LightGBM, short for Light Gradient-Boosting Machine, is a free and open-source distributed gradient-boosting framework for machine learning, originally developed by Microsoft. [4] [5] It is based on decision tree algorithms and used for ranking, classification and other machine learning tasks. The development focus is on performance and ...
Linux, macOS, Windows Demos; training; online community; ask a question; online help; tutorials; consulting services Yes: supports both tile maps from free online providers and shapefile-based maps Yes November 20, 2024 [2] [3] Framsticks: 2D/3D simulations of (evolving) multi-agent systems and artificial life
KataGo is a free and open-source computer Go program, capable of defeating top-level human players. First released on 27 February 2019, it is developed by David Wu, [1] who also developed the Arimaa playing program bot_Sharp which defeated three top human players to win the Arimaa AI Challenge in 2015.
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Distributed artificial intelligence systems were conceived as a group of intelligent entities, called agents, that interacted by cooperation, by coexistence or by competition. DAI is categorized into multi-agent systems and distributed problem solving. [3] In multi-agent systems the main focus is how agents coordinate their knowledge and ...
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