Neural Network
Showing 36 of 162 projects
An iOS library that applies artistic styles to images using Core ML and pre-trained neural style transfer models.
A convolutional neural network model built with Keras for recognizing captcha images generated by the Laravel Captcha library.
A pure Crystal machine learning library for building and training neural networks with CPU/GPU support and PyTorch compatibility.
A lightweight multilayer perceptron neural network library for MicroPython, designed for embedded systems like ESP32 and Pycom modules.
An open-source CAD framework for designing, simulating, and deploying deep neural networks on embedded platforms.
.NET Standard bindings for Apache MXNet, providing C# developers with NumPy-compatible APIs for machine learning model development, training, and deployment.
A type-safe, functional ONNX API and backend for deep learning and classical machine learning in Scala 3.
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
A TensorFlow-based neural network model for generating descriptive captions from images using Flickr30K and MSCOCO datasets.
A tool for cell instance aware segmentation in densely packed 3D volumetric images, originally developed for plant tissues.
A lightweight feedforward neural network with resilient backpropagation (Rprop), implemented in pure Ruby with no external dependencies.
A machine learning and optimization framework for Objective-C and Swift, focused on regression and multi-objective evolutionary algorithms.
A Go library for scoring machine learning models using PMML, supporting neural networks, decision trees, random forests, and gradient boosted models.
An Elixir framework for evolutive neural networks with a modular DSL and OTP-based architecture.
A simplistic neural network library written in Go with support for single hidden layer and back-propagation learning.
A neural network trading strategy for Gekko cryptocurrency trading bot that predicts price movements using ConvNetJS.
Crystal language bindings for the FANN (Fast Artificial Neural Network) C library.
A neural network framework with automatic differentiation for building and training models in pure Object Pascal.
A deep neural network package for Go, designed for simplicity and extensibility.
A Go module implementing multi-layer neural networks for machine learning tasks.
A Go implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm for evolving neural network structures.
A multilayer perceptron neural network implementation in Go with backpropagation training.
A collection of neural network libraries for functional and mainstream languages, offering efficient lazy evaluation and cross-language compatibility.
A Deno module for matrix, ndarray, and tensor operations accelerated by WebGPU and WASM.
A collection of Lua libraries for the LÖVE game framework, including vector math, UI layout, animation, and neural networks.
A collection of Lua libraries for the LÖVE game framework, including vector math, layout, animation, and neural network modules.
A ROS wrapper for the NCNN neural inference framework, enabling real-time neural network inference on robotic systems.
A Neovim file picker that learns your navigation patterns using a neural network to rank files by what you're most likely to open next.
A Blazor library that provides easy access to ML5.js machine learning models via JavaScript Interop.
A feedforward neural network implementation for JRuby that provides machine learning capabilities with Java backend performance.
A high-level neural networks API for Delphi, written in Pascal with Python binding and support for TensorFlow, CNTK, or Theano backends.
A neural network library in Go where neurons and synapses are implemented as goroutines.
An interpretable multi-task deep neural network for single-cell multi-omics integration and cross-modal analysis.
A Python library implementing biologically-inspired algorithms including neural networks, genetic programming, and particle swarm optimization.
A Julia implementation of a backpropagation neural network for machine learning tasks.
A Ruby deep learning library supporting fully connected, convolutional, and recurrent neural networks.
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