andrewfry / SharpML-Recurrent
Neural network library (LSTM) based off of RecurrentJs
☆55Updated 5 years ago
Related projects: ⓘ
- ☆19Updated this week
- ☆33Updated this week
- Library for running neural networks.☆49Updated last year
- RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling,…☆285Updated 4 years ago
- Library for general purpose numerical computing and Machine Learning based on tensors and tensor expressions.☆75Updated 6 years ago
- Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)☆121Updated last week
- .Net wrappers for the awesome XGBoost library☆51Updated 6 months ago
- Simple example of using the Accord .NET C# library to implement a deep-learning neural network (deep belief network) with machine learnin…☆59Updated last year
- CRFSharp is Conditional Random Fields implemented by .NET(C#), a machine learning algorithm for learning from labeled sequences of exampl…☆122Updated 4 years ago
- Convolutional Neural Networks☆16Updated 9 years ago
- implementation Word2Vec for .Net framework☆127Updated 4 years ago
- ☆73Updated this week
- A compiler for NET CIL for GP-GPU computing in .NET languages.☆99Updated 3 years ago
- Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK☆244Updated 3 years ago
- ☆31Updated 10 years ago
- .NET wrapper for OpenCL with abstraction☆63Updated 5 years ago
- This demo is a C# port of ConvNetJS RLDemo (https://cs.stanford.edu/people/karpathy/convnetjs/demo/rldemo.html) by Andrej Karpathy☆46Updated 7 years ago
- Machine Learning for .NET☆430Updated 5 years ago
- A .NET library that contains a set of lock-free thread-safe collections designed to be used asynchronously.☆111Updated 4 years ago
- Advanced Utility Libs☆23Updated 4 years ago
- .Net Implementation for google word2vec tools.☆37Updated last year
- ☆429Updated 5 years ago
- ANNdotNET - deep learning tool on .NET Platform.☆127Updated 5 months ago
- C# model definition for a hidden Markov model using Infer.NET. This code makes it easy to run approximate Bayesian inference over both th…☆23Updated 9 years ago
- ArraySlice allows to build shared memory array views without performance impact. It uses IL manipulation to achieve the fastest implement…☆27Updated 9 years ago
- Example projects for GPU.NET☆61Updated 12 years ago
- C# Sequence to Sequence Learning with Attention using LSTM neural Networks☆24Updated 6 years ago
- Implementation of Aho-Corasick string matching algorithm for .NET☆29Updated 8 years ago
- Salar.Bois is a compact, fast and powerful binary serializer for .NET Framework. With Bois you can serialize your existing objects with a…☆62Updated 10 months ago
- This is a configurable Neural Network written in C#. The Network functionality is completely decoupled from the UI and can be ported to …☆280Updated 2 years ago