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.
Small NeuralNet-Framework implemented with NumPy (Convolution|TransposeConv|Linear)
A proof of concept of a recursion doing stochastic gradient descent for a simple neural network. Done in Python3 with numpy
TCC do curso de Análise e Desenvolvimento de Sistemas - FATEC - A Utilização de Algoritmos Genéticos na Otimização de Problemas
Trained deep neural networks to predict and classify input image (MNISTDD) datasets with python.
CNN model for MNIST dataset implemented from scratch using NumPy
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.
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
Implementation of a simple neural network in numpy.
Neural Networks and training algorithms in Numpy, for learning purpose.
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