Neural Networks
Showing 22 of 382 projects
A high-level neural networks API for Delphi, written in Pascal with Python binding and support for TensorFlow, CNTK, or Theano backends.
A TensorFlow implementation of convolutional highway networks for deep learning experiments.
A TensorFlow library implementing Restricted Boltzmann Machines and their variants for machine learning applications.
A Julia package implementing backpropagation artificial neural networks for machine learning tasks.
A collection of algorithmic trading strategies for the Gekko cryptocurrency trading bot, designed for educational purposes.
A neural network library in Go where neurons and synapses are implemented as goroutines.
A Swift deep learning library for iOS and macOS with Accelerate and Metal support.
An easy-to-use PyTorch library for faster computer vision model development and training.
A desktop application that performs high-quality translations offline using Firefox's neural translation models.
A PyTorch-based framework providing implementations of state-of-the-art deep learning models for computer vision tasks.
A lightweight, header-only C++11 deep neural network library designed for embedded systems with minimal dependencies.
A Python library implementing biologically-inspired algorithms including neural networks, genetic programming, and particle swarm optimization.
Ruby bindings for the Apache MXNet deep learning framework, enabling Ruby developers to build and train neural networks.
A Ruby deep learning library supporting fully connected, convolutional, and recurrent neural networks.
A collection of neural network models ported from torchvision for use with JAX and Flax.
A collection of demos and tutorials for learning Torch7, a scientific computing framework with deep learning support.
A lightweight JavaScript/WebGL library for real-time face detection, depth estimation, and 3D face insertion in the browser.
TensorFlow implementation of AlexNet with 3D convolutional layers for volumetric image recognition.
An attentive bilateral contextual network for efficient semantic segmentation of fine-resolution remote sensing images.
A simple, easy-to-understand library for diffusion models built with Flax and JAX, focusing on readability and learning.
A Scala machine learning library with simple, readable implementations of classic algorithms for prototyping and education.
A Python library providing various neural unit implementations including LNU, QNU, RBF, MLP, and MLP-ELM with gradient descent and Levenberg-Marquardt training.
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