Active Noise Cancelling Algorithms implementation
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Updated
Jul 8, 2021 - Jupyter Notebook
Active Noise Cancelling Algorithms implementation
Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
An implementation of various metaheuristics adapted to train neural networks
能動騒音制御(Active Noise Control)の説明資料
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"
Build our neural networks from scratch
Zeta implemantion of "Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers"
Machine Learning Exercises from Online Course (Coursera)
Implementação simples da rede neural Perceptron Multicamadas em Javascript.
Detection of handwritten digits with neural networks
C++ neuron-based neural network library
Animation Tweening of 3D vertex data using a Feed-Forward Neural Network.
This is a complete repository of any code done throughout the 2024-2025 VEX High Stakes Season.
Matlab toolbox for model stable inversion based on least squares
A highly modular design and implementation of fully-connected feedforward neural network structured on NumPy matrices
This is a application that though a feed forward neural network allows a car to learn to drive
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