Search Results for "cpu x"

The most powerful and modular diffusion model is GUI and backend. This UI will let you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart-based interface. We are a team dedicated to iterating and improving ComfyUI, supporting the ComfyUI ecosystem with tools like node manager, node registry, cli, automated testing, and public documentation. Open source AI models will win in the long run against closed models and we are only at the beginning. Our core mission...

...To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models are suitable. A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).

Graph Nets, developed by Google DeepMind, is a Python library designed for constructing and training graph neural networks (GNNs) using TensorFlow and Sonnet. It provides a high-level, flexible framework for building neural architectures that operate directly on graph-structured data. A graph network takes graphs as inputs, consisting of edges, nodes, and global attributes, and produces updated graphs with modified feature representations at each level. This library implements the...

vEMan - [v]Mware [E]SX [Man]ager provides a GUI for managing ESX servers natively from within your Linux desktop without the need to use Windows vSphere® anymore! Support vEMan development for v2.0 by gofundme! http://www.gofundme.com/vEMan Why I started vEMan? Because I hate it to start my Windows VM to manage ESX(i) servers ;o) vEMan is (maybe) not needed if you use vCenter 5.x: http://kb.vmware.com/kb/2005377 --> vSphere >= v5 has a "web client" BUT keep in mind that there are...