Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
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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
Implementation of Adam Optimization algorithm using Numpy
Nice place to start seeing matrices shapes ! Great place for beginners to understand neural networks computation
Implementation of artificial neural networks
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.
Small NeuralNet-Framework implemented with NumPy (Convolution|TransposeConv|Linear)
NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.
I made fully connected neural network in plain NumPy to classify digits from the MNIST dataset! It achieves 95% accuracy :-)
Classifies different types of wheat seeds by Artificial Neural Network using Numpy.
A proof of concept of a recursion doing stochastic gradient descent for a simple neural network. Done in Python3 with numpy
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 :-)
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.
Fundamental Machine Learning Algorithms implemented from scratch. This is an on going repository and will be updated in future.
Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.
CNN model for MNIST dataset implemented from scratch using NumPy
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