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

training models with different optimizers using NumPy only. Featuring SGD, Adam, Adagrad, NAG, RMSProp, and Momentum. This repo also includes a benchmark against Pytorch developed optims.

Nice place to start seeing matrices shapes ! Great place for beginners to understand neural networks computation

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.

Implementation of artificial neural networks

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.

𝗔𝗡𝗡 𝗮𝗻𝗱 𝗖𝗡𝗡 𝗳𝗿𝗼𝗺 𝘀𝗰𝗿𝗮𝘁𝗰𝗵 | 𝗡𝗼 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀, 𝗷𝘂𝘀𝘁 𝗽𝘂𝗿𝗲 𝗡𝘂𝗺𝗽𝘆

I made fully connected neural network in plain NumPy to classify digits from the MNIST dataset! It achieves 95% accuracy :-)

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 :-)

NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.

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

Classifies different types of wheat seeds by Artificial Neural Network using Numpy.

Assignment codes, and general work for pes io course Neural Networks Unleashed

Deep Learning portfolio covering 3 milestones – from NumPy-based neural networks to fine-grained car classification using PyTorch, Transfer Learning, and Image Retrieval.

Small NeuralNet-Framework implemented with NumPy (Convolution|TransposeConv|Linear)