Biblioteca para manipulação de modelos de Redes Neurais
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Updated
Jun 8, 2024 - Java
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
Biblioteca para manipulação de modelos de Redes Neurais
A Machine Learning framework from scratch in Pure Mojo 🔥
An Open Source Machine Learning Framework for Everyone
Project developed for the Numeric Simulation Laboratory A.A. 2023-2024, held by professor Davide Emilio Galli at the University of Milan, Physics Department.
An autograd engine built for my understanding
Mobile app for medical solutions: Skin Cancer - store, analise, predict, remind for update. Blood Work - analise, question with LLM, insight, reminder for update
functions to estimate the Conditional Average Treatment Effects (CATE) and Population Average Treatment Effects on the Treated (PATT)
All my projects related to AI - Basic Ml Models To Deep Learning Projects All At One Place
API for Soil Image Analysis with Deep Learning
This project uses a Convolutional Neural Network (CNN) to classify images as happy or sad. It includes data preprocessing, model training, and prediction on new images.
A Great Collection of Deep Learning Tutorials and Repositories
Kolmogorov-Arnold Networks (KANs) are a type of neural network inspired by the Kolmogorov-Arnold theorem.
Machine learning and deep learning tutorials, articles and other resources. With repository stars⭐ and forks🍴
A project focusing on binary classification using Explainable Artificial Intelligence (XAI) methods, specifically SHAP (SHapley Additive exPlanations), and Grid Search for hyperparameter tuning. The project utilizes EfficientNetV2-B0 architecture on the Cat VS Dog dataset.
oneAPI Deep Neural Network Library (oneDNN)
Fine-tuned YOLOv8 model for detecting food in realtime via media (image, video, IP camera - RTSP).
An Engine-Agnostic Deep Learning Framework in Java
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
The deep in deep learning isn’t a reference to any kind of deeper understanding achieved by the approach; rather, it stands for this idea of successive layers of representations......