JVector: the most advanced embedded vector search engine
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Updated
May 30, 2024 - Java
JVector: the most advanced embedded vector search engine
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
A DIY C++ CNN framework
PostgreSQL vector database extension for building AI applications
Projeto de Iniciação Científica voltado a ampliar a explicabilidade e transparência dos modelos de Inteligência Artificial atuais. Título Original do Projeto aprovado pelo Edital DIRPE N° 2/2023: Transformando Caixas-Pretas em Caixas de Vidro: Aumentando a Explicabilidade de Redes Neurais com Ferramentas de Visualização e Conversão
IoT and ML to assuage the uncertainty in city bus schedules. Track live running status and avail tentative schedule of buses. Minimal IoT setup with a central ML-driven web-backend.
An open-source, high-performance SQL vector database built on ClickHouse.
🧠 Create and simulate deep learning methods using ChatGPT.
🤖 Educating computer programs with development in AI and ML.
Predicting Credit Card Defaults This repository provides a step-by-step tutorial on predicting credit card defaults using machine learning algorithms in Python with scikit-learn. Learn to implement SVM, Random Forest, Decision Trees, k-Nearest Neighbors, and Artificial Neural Networks to forecast default payments for credit card clients.
Deep Neural Network Implemented to classify the digits of mnist dataset using pure javascript without any library.
This code sets up and trains a GAN to generate artwork images using Keras and TensorFlow, defining and compiling discriminator and generator networks, and saving results.
Solar radiation Prediction Cameroon
This project implements a real-time face emotion recognition system using Gray-Level Co-Occurrence Matrix (GLCM) for feature extraction and an Artificial Neural Network (ANN) for classification. The system can identify various emotional states from facial expressions in real-time.
This project leverages deep learning techniques to classify images from the CIFAR-10 dataset using both Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN), highlighting the effectiveness of CNNs for image recognition tasks.
Artificial Intelligence
Welcome to the Deep Learning Odyssey! 🚀 This repository contains code of deep neural networks. Here, you'll find code, projects, and resources related to CNN, RNN , LSTM, GRU, GAN, VAE, DNN, RL, MLP etc.
This is my implementation of a hybrid ANN model optimized by Hyperbolic secant and Levy Flights based Grey Wolf Optimization
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