Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
-
Updated
Aug 3, 2024 - Python
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
deep learning from scratch. uses numpy/cupy, trains in GPU, follows pytorch API
Python3 implementation of the Unsupervised Deep Learning Algorithm, Restricted Boltzmann Machine.
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.
Computer vision project that utilized openCV to detect a soccer ball and players in a livestream of a soccer game.
A proof of concept of a recursion doing stochastic gradient descent for a simple neural network. Done in Python3 with numpy
Small NeuralNet-Framework implemented with NumPy (Convolution|TransposeConv|Linear)
TCC do curso de Análise e Desenvolvimento de Sistemas - FATEC - A Utilização de Algoritmos Genéticos na Otimização de Problemas
A simple homebrew neural network created for MTE 203.
Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.
Trained deep neural networks to predict and classify input image (MNISTDD) datasets with python.
CNN model for MNIST dataset implemented from scratch using NumPy
Neural Networks and training algorithms in Numpy, for learning purpose.
Implementation of a simple neural network in numpy.
Neural networks
This is to see how a kernel will convolve over an image and what will be its output after convolution
NumPy-based feed-forward neural network
Add a description, image, and links to the numpy-neural-network topic page so that developers can more easily learn about it.
To associate your repository with the numpy-neural-network topic, visit your repo's landing page and select "manage topics."