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)

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

Detection of handwritten digits with neural networks

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#.