Numerical-Realization
Catalyst
Numerical-Realization | Catalyst | |
---|---|---|
3 | 1 | |
0 | 684 | |
- | 2.5% | |
0.0 | 5.5 | |
over 2 years ago | about 1 month ago | |
C# | C# | |
GNU General Public License v3.0 only | MIT License |
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Numerical-Realization
- A lightweight natural language generator (NLG) for numerical inputs I am developing to assist those working on AI or text-to-speech engines. This NLG enables English-based numerical realization to be performed on numbers as high as 999 centillion. No plans for localization at this time.
- A lightweight natural language generator (NLG) for numerical inputs I am developing to assist those working on AI or text-to-speech engines. This NLG enables English text generation for numbers as high as 999 centillion. No plans for localization at this time.
Catalyst
-
OverlordBot 3.0.1 released & Sunsetting plans
https://github.com/curiosity-ai/catalyst might be an option but I haven't looked into it in detail.
What are some alternatives?
GazeTracker - Artificial intelligence tracker for OpenTrack
ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.
machine.academy - Neural Network training library in C++ and C# with GPU acceleration
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
numl - Machine Learning for .NET
F# Data - F# Data: Library for Data Access
Deedle - Easy to use .NET library for data and time series manipulation and for scientific programming
Accord.NET Extensions
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
encog-dotnet-core
AForge.NET - AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.