feedforward

Active Noise Cancelling Algorithms implementation

Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"

能動騒音制御(Active Noise Control)の説明資料

An implementation of various metaheuristics adapted to train neural networks

PointHop: An Explainable Machine Learning Method for Point Cloud Classification

TensorFlow implementation of CNN fast neural style transfer ⚡️ 🎨 🌌

Implementation of the model "Hedgehog" from the paper: "The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry"

Animation Tweening of 3D vertex data using a Feed-Forward Neural Network.

Zeta implemantion of "Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers"

Build our neural networks from scratch

Machine Learning Exercises from Online Course (Coursera)

Detection of handwritten digits with neural networks

This is a complete repository of any code done throughout the 2024-2025 VEX High Stakes Season.

Implementação simples da rede neural Perceptron Multicamadas em Javascript.

A minimal, modular Python implementation of feed-forward neural networks (binary & multi-class) with customizable layers, activations, optimizers (GD/Adam), learning-rate schedules, and L2 regularization. Ideal for learning and experimentation.

C++ neuron-based neural network library

Lightweight, zero-dependency C++ Feedforward & Recurrent Neural Network library with native Python bindings (via pybind11).

Matlab toolbox for model stable inversion based on least squares

Implement the multiple layer neural network simulator using C#.