fwaris 

A hierarchical agglomerative clustering (HAC) library written in C# This is a bug-fix version of the original Algomera package. Use it till a version of Aglomera newer than 1.1.0.0 is released.

Compiled tensorflow (selective) protobuf files required to support checkpoints

Cultural Algorithms optimization framework for mixed integer, dynamic optimization problems. This method uses an ensmble of search strategies. The dynamic balance between the strategies is maintained by a game-theoretic heuristic.

A helper library for tokenizing text as per requirements of BERT-based language models

Tsetlin machine ML library. Uses tensor operations to parallelize learning and prediction. It utilizes the tensor library underpinning TorchSharp/PyTorch.

Repackaged version of FSharp.Charting library for dotnet core and net4.8

Neural architecture search for deep learning models based on the NEAT (Neuroevolution of Augmenting Topologies) methodology. Two types of evolutionary drivers are included: a) Cultural Algorithms and b) NEAT's basic elitist approach. See project site for details. CATNeuro requires a translator /... More information

Cartesian Genetic Programming library for F#

Functional wrapper over CNTK written in F#

Supports the creation of Avalonia windows in F# interactive. The code in this package is used by an accompanying script that starts the EventLoop in F# Interactive.

Temporary package to address assembly reference issues in QuikGraph.MSAGL .NET library that provides a bridge from QuikGraph graphs to MSAGL library. This package is the MSAGL subset of the original QuickGraph renamed QuikGraph and ported to .NET Core. Supported platforms: - .NET Standard... More information

Package Description

A wrapper over TorchSharp that provides a function-compostion style of model construction

Extract tensor data from Tensorflow checkpoint format

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.