numpy-neural-network
There are 30 repositories under numpy-neural-network topic.
AkiRusProd/numpy-nn-model
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
samrere/pytortto
deep learning from scratch. uses numpy/cupy, trains in GPU, follows pytorch API
theroyakash/Adam
Implementation of Adam Optimization algorithm using Numpy
souravs17031999/NeuralNets-Pure-Python
Nice place to start seeing matrices shapes ! Great place for beginners to understand neural networks computation
Amith225/NeuralNetworksAndTopologies
Implementation of artificial neural networks
Capsar/python-neural-network
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.
Karan-Malik/RestrictedBoltzmannMachine
Python3 implementation of the Unsupervised Deep Learning Algorithm, Restricted Boltzmann Machine.
bfleming2/Soccer-Object-Detection-Application
Computer vision project that utilized openCV to detect a soccer ball and players in a livestream of a soccer game.
yriyazi/Neural-Network-Implementation-from-Scratch-using-NumPy
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.
aabritidutta/wheat-seeds-clasification
Classifies different types of wheat seeds by Artificial Neural Network using Numpy.
akutzer/numpy_cnn
Small NeuralNet-Framework implemented with NumPy (Convolution|TransposeConv|Linear)
Arity-T/convolution-nn-from-scratch
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 :-)
Arity-T/fully-connected-nn-from-scratch
I made fully connected neural network in plain NumPy to classify digits from the MNIST dataset! It achieves 95% accuracy :-)
InCogNiTo124/recursive-sgd
A proof of concept of a recursion doing stochastic gradient descent for a simple neural network. Done in Python3 with numpy
Lacrymosaa/Genesect-TCC
TCC do curso de Análise e Desenvolvimento de Sistemas - FATEC - A Utilização de Algoritmos Genéticos na Otimização de Problemas
mohd-faizy/Learn_Numpy
NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.
Tialy/ANN-s
Assignment codes, and general work for pes io course Neural Networks Unleashed
WenrrrBeth/classification-MNISTDD
Trained deep neural networks to predict and classify input image (MNISTDD) datasets with python.
abrbird/NNNumpy
Neural networks
ayushm-agrawal/ml-algorithms-numpy
Fundamental Machine Learning Algorithms implemented from scratch. This is an on going repository and will be updated in future.
B0s0/Dimag
Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.
JanAndrosiuk/CNN-in-NumPy
CNN model for MNIST dataset implemented from scratch using NumPy
kreciszj/mnist-neural-network
NumPy-based feed-forward neural network
lucs100/soplenet
A simple homebrew neural network created for MTE 203.
sahil210695/convolution-evolution
This is to see how a kernel will convolve over an image and what will be its output after convolution
tranlethaison/NumpyNeuralNet
Neural Networks and training algorithms in Numpy, for learning purpose.
andreiliphd/numpy-neural-network
Implementation of a simple neural network in numpy.
crypto-code/Math-of-Neural-Networks
Create a few popular Neural Networks from scratch using just Numpy