Neural Network
Showing 18 of 162 projects
A Python library for building and training feedforward neural networks with GPU support and mini-batch learning.
A curated list of awesome Keras projects, libraries, and resources for deep learning.
An implementation of artificial neural networks in Ruby for experimentation and learning about ANN fundamentals.
A 3-layer neural network library for iOS implementing Back Propagation Neural Network (BPN) with QuickProp and Kecman's theory.
Profile TensorFlow Lite and OpenCV DNN models on Android devices with performance metrics and delegate options.
A named entity recognition model that locates and tags entities like persons, locations, and organizations in text using a neural network.
An iOS library implementing multi-layer perceptron neural networks with backpropagation for machine learning tasks.
A comprehensive Ruby gem providing a collection of atomic machine learning tools and frameworks for practical applications.
A comprehensive Ruby gem providing atomic, flexible tools and frameworks for practical machine learning applications.
A machine learning game that asks questions to guess objects using Bayesian inference and entropy minimization.
A dependency-less neural network library ported to Deno, based on Synaptic.js.
A prototype intelligent safety system that detects driver drowsiness and gestures using facial video surveillance and YOLOv5.
A JavaScript neural network example that learns to predict whether a beer glass is half full or half empty based on user decisions.
A JavaScript neural network example that learns to predict angles between two points using synaptic.js.
A complete neural network solution for handwritten digit recognition, built with Ruby and featuring a web interface.
A distributed image classification service that runs neural network training and prediction tasks on the Golem Network using Yapapi.
A Python machine learning library with CPU and GPU support for tensor operations and model development.
A neural networks library for Clojure with support for custom activation functions, serialization, and data preprocessing.
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