Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
.Net Implementation for google word2vec tools.
A new library for all of the newest ai algorithms
Genetic Programming Engine designed for .NET
An open source machine learning framework in .net core
Final Year Dissertation Project by Asis Rai
Some Data Mining Algorithms based on C#
Reinforcement learning agent using Proximal Policy Optimization (PPO) and Unity
Decodifica o CAPTCHA de alguns dos principais sites de consultas dos tribunais brasileiros.
Slamby API under AGPL-3.0 license
Creating a decision tree platform for different types of data. No pruning is available yet.
Finally , the AI version of my calculator application. Different machine learning models are responsible for making calculations in the code behind, rather than being hard coded with a mathematical library.
Mokka is a minimal Inference Engine for Dense Layer Neural Networks. Written on a single C# header, it uses AVX2
My own Implementation for ML Algorithm.
Class library for machine learning in C#
Autonomous Aerial Vehicle
Now open source and free and no support and no updates ;)
ML Concept Implementation in C#
A .NET library wrapper for oanda REST API and fx testing system.
There are some basic implementations of K-means and K-medoids clustering algorithms. for 2D points.
Reinforcement learning tecnique applied to PONG on unity