Found 23 packages
An HTML CSS keyword set in .NET enumeration form
Weights file for OpenCV
An implementation of replica weight modifier based on externally computed weights stored in Service Discovery registry.
This is a lightweight package which is able to run neural networks with weights from different sources like Keras models.
Provides a set of helpful Combinatoric Permutations assets for use during operation.
WeightedSelector.NET lets you assign weights to a set of choices, then make intelligent decisions based on each choice's proportion of the total weight. This simple concept is useful for machine learning scenarios where choices need to be made based on dynamic factors. Great examples include suggestion engines and game AI. In one of the examples, we implement a game AI that decides between attacking, fleeing, and casting a heal spell based on a dynamic "fear" factor... In 6 lines of code. Free to use under MIT License.
Deterministic feedback atom that consumes outcomes and updates weights.
Provides the most common unit for length, weight, area, volume and temperature and their conversion from one to the other. Also provides the ability to use complex units in the style of a/b Also provides the ability to convert from volumes to weights (and vice versa) using density
Metal Weight Calculator is a fast and simple library for calculating weights or lengths of metals.
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This is a C# library for calculating the molecular mass of chemical compounds. It allows you to input a chemical formula and computes the total molecular weight by summing up the atomic weights of the constituent elements.
Neat (Neurone evolution of augmenting topologies) Allows neural networks to evolve both their topologies and weights.
A simple machine learning program that allows you to use and save weights and biases as CSV files. WARNING: This was created as a learning exercise. It works, but is very brittle.
The .NET binding of LLama.cpp, providing APIs to run the model and deploy it on Web. For model weights to run, please go to https://github.com/SciSharp/LLamaSharp for more information.
BERT model in TorchSharp with the ability to load pre-trained weights from Google BERT checkpoints. This model produces a single value per input sequence - suitable for tasks such as text classification.
First, a verbose console log formatter that weights the structured metadata of a log event only slightly lower than that event's message. Second, a means of logging that encourages structured logging, built solely on top of Microsoft's logging abstractions.
Added because the `WeightedRandom` required a sorted list of weights, and I thought it would be fun to add a few sorting algorithms it could use instead of the `OrderBy` LINQ method.
TagCloudGenerator is a C# library that allows you to generate a tag cloud bitmap image from a given set of strings and their corresponding weights. You can customize the appearance of the tag cloud by specifying various options, such as font size, font color, background color, and more.
The Font Library is a C# DLL that provides easy access to various font families in different styles and weights. This library simplifies font handling within your C# applications, allowing you to easily set fonts for different UI elements.