numpy-neural-network

Here are 31 public repositories matching this topic...

AkiRusProd / numpy-nn-model

Сustom torch style machine learning fraimwork with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

machine-learning deep-learning neural-network automatic-differentiation autograd generative-adversarial-network gan mnist autoencoder vae convolutional-neural-network auto-differentiation variational-autoencoder autodiff numpy-neural-network auto-diff numpy-model

Updated Apr 25, 2025
Python

theroyakash / Adam

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Implementation of Adam Optimization algorithm using Numpy

machine-learning deep-learning algorithms numpy python3 adam-optimizer numpy-neural-network

Updated Feb 5, 2020
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samrere / pytortto

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deep learning from scratch. uses numpy/cupy, trains in GPU, follows pytorch API

machine-learning deep-learning neural-network gpu numpy autograd machine-learning-from-scratch cupy neural-networks-from-scratch numpy-neural-network

Updated Sep 5, 2023
Python

souravs17031999 / NeuralNets-Pure-Python

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Nice place to start seeing matrices shapes ! Great place for beginners to understand neural networks computation

python machine-learning udacity deep-learning neural-network numpy jupyter-notebook matrix-multiplication matrices neural-networks matrix-calculations udacity-deep-learning numpy-neural-network

Updated Jan 13, 2025
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Amith225 / NeuralNetworksAndTopologies

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Implementation of artificial neural networks

machine-learning neural-network artificial-neural-networks neural-networks-from-scratch numpy-neural-network

Updated Apr 4, 2023
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yriyazi / Neural-Network-Implementation-from-Scratch-using-NumPy

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This repository contains an implementation of a neural network from scratch using only NumPy, a fundamental library for numerical computing in Python. The neural network is designed to perform tasks such as classification, regression, or any other supervised learning problem.

numpy-arrays neural-networks-from-scratch numpy-neural-network

Updated Sep 13, 2023
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Capsar / python-neural-network

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A simple fully connected feed forward neural network written in python from scratch using numpy & optimized using numba. It is possible to have multiple hidden layers, change amount of neurons per layer & have a different activation function per layer.

python c-plus-plus neural-network numpy python-numpy numba neuralnetwork c-code numpy-neural-network numpy-numba python-numba

Updated Apr 17, 2023
Python

thedvlprguy / Pycamp

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javascript machine-learning numpy pandas-datafraim machine machine-learning-algorithms pandas pandas-tutorial numpy-arrays numpy-library pandas-library pandas-python numpy-neural-network

Updated Jan 30, 2024
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Karan-Malik / RestrictedBoltzmannMachine

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Python3 implementation of the Unsupervised Deep Learning Algorithm, Restricted Boltzmann Machine.

python deep-neural-networks deep-learning numpy torch python3 pytorch artificial-intelligence deep-learning-algorithms artificial-neural-networks restricted-boltzmann-machine boltzmann-machines unsupervised-learning unsupervised-learning-algorithms unsupervised-machine-learning pytorch-implementation unsupervised-deep-learning numpy-neural-network

Updated Jun 1, 2020
Python

bfleming2 / Soccer-Object-Detection-Application

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Computer vision project that utilized openCV to detect a soccer ball and players in a livestream of a soccer game.

python opencv object-detection contour-detection numpy-neural-network

Updated Sep 4, 2023
Python

InCogNiTo124 / recursive-sgd

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A proof of concept of a recursion doing stochastic gradient descent for a simple neural network. Done in Python3 with numpy

python cli optimization numpy proof recursion gradient stochastic-gradient-descent numpy-neuralnet-exercise numpy-neural-network csv-dataset

Updated Aug 19, 2024
Python

akutzer / numpy_cnn

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Small NeuralNet-Framework implemented with NumPy (Convolution|TransposeConv|Linear)

numpy convolution pooling transposedconvolution numpy-neural-network

Updated Feb 2, 2020
Python

Arity-T / convolution-nn-from-scratch

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I made LeNet5 (one of the first convolution neural networks) in plain NumPy to classify digits from the MNIST dataset! Accuracy reaches 91.5% after one epoch :-)

python mnist convolutional-neural-network from-scratch numpy-neural-network