A tutorial to implement a CNN for dementia brain imaging classification

Extending the Micrograd Framwork developed by Andrej Kaparthy. will be used to run standard ML methods such as MLPs, LSTM, RNN, CNN and Transformers

Monografía presentada para optar al título de Especialista en Analítica y Ciencia de Datos

Accelerated pose estimation and tracking using semi-supervised convolutional networks.

Classification of MNIST handwritten digit dataset using a CNN.

A suite of Python scripts allowing the end-user to use Deep Learning to detect objects in georeferenced raster images.

Paper reading notes on Deep Learning and Machine Learning

moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.

vanilla, simple, frameworkn't, optimized.

ML research internship project, for the Bachellor's Degree in Computer Science @ University of Padua

Deep learning applied to georeferenced datasets

Convolutional Neural Network (CNN) for head and neck cancer outcome classification

Free courses offer by CampusX

Standard ML Waste Management using CNNs for Waste Identification, RNNs and LSTMs for Waste Generation Prediction, and Reinforcement Learning for Route Optimization

Machine learning application for facial key-points detection

In this notebook, we aim to recognize speech commands using classification. For this purpose, we used the SPEECHCOMMANDS dataset and the deep convolutional model M5. The code is written in Python and designed for the PyTorch platform.

sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.

Dynamsoft Label Recognizer samples for the .Net edition