Numerical-Realization
machine.academy
| Numerical-Realization | machine.academy | |
|---|---|---|
| 2 | 1 | |
| 2 | 11 | |
| - | - | |
| 4.0 | 7.6 | |
| over 2 years ago | 5 months ago | |
| C# | C# | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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Numerical-Realization
machine.academy
-
Neural Network from Scratch
Nice! I made a gpu accelerated backpropagation lib a while ago to learn about NNs, if you are interested check it out here: https://github.com/zbendefy/machine.academy
What are some alternatives?
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ML-From-Scratch - Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
GeneticSharp - GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).
micrograd - A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Catalyst - 🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
GazeTracker - Artificial intelligence tracker for OpenTrack
deepnet - Educational deep learning library in plain Numpy.