Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
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Updated
Apr 25, 2025 - 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
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.
Python3 implementation of the Unsupervised Deep Learning Algorithm, Restricted Boltzmann Machine.
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)
Trained deep neural networks to predict and classify input image (MNISTDD) datasets with python.
TCC do curso de Análise e Desenvolvimento de Sistemas - FATEC - A Utilização de Algoritmos Genéticos na Otimização de Problemas
CNN model for MNIST dataset implemented from scratch using NumPy
Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.
A simple homebrew neural network created for MTE 203.
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
Neural Networks and training algorithms in Numpy, for learning purpose.
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