Neural Networks
Showing 36 of 428 projects
A deep learning algorithm that predicts type hints for Python code using neural networks.
A Python library and CLI application for translating text using the DeepL neural machine translation service.
ROS2 nodes for performing computer vision inference using TensorFlow models, enabling object detection and image classification in robotics.
A desktop application that performs high-quality translations offline using Firefox's neural translation models.
A lightweight deep learning library written in C++ with C, C#, and Python interfaces, supporting CPU and GPU computation.
An interactive Swift PlaygroundBook that teaches neural network concepts through hands-on examples.
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 Julia package implementing backpropagation artificial neural networks for machine learning tasks.
A neural network library in Go where neurons and synapses are implemented as goroutines.
A TensorFlow library implementing Restricted Boltzmann Machines and their variants for machine learning applications.
A collection of algorithmic trading strategies for the Gekko cryptocurrency trading bot, designed for educational purposes.
A Swift deep learning library for iOS and macOS with Accelerate and Metal support.
A PyTorch-based framework providing implementations of state-of-the-art deep learning models for computer vision tasks.
An easy-to-use PyTorch library for faster computer vision model development and training.
A Python library implementing biologically-inspired algorithms including neural networks, genetic programming, and particle swarm optimization.
A lightweight, header-only C++11 deep neural network library designed for embedded systems with minimal dependencies.
Ruby bindings for the Apache MXNet deep learning framework, enabling Ruby developers to build and train neural networks.
A collection of neural network models ported from torchvision for use with JAX and Flax.
A Ruby deep learning library supporting fully connected, convolutional, and recurrent neural networks.
A lightweight JavaScript/WebGL library for real-time face detection, depth estimation, and 3D face insertion in the browser.
A collection of demos and tutorials for learning Torch7, a scientific computing framework with deep learning support.
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 Python library providing various neural unit implementations including LNU, QNU, RBF, MLP, and MLP-ELM with gradient descent and Levenberg-Marquardt training.
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 native Objective-C framework for experimenting with neural networks and natural language processing on macOS and iOS.
An R package implementing Restricted Boltzmann Machines for collaborative filtering and feature learning.
A Rust library for implementing Self-Organizing Maps (SOM) with customizable training and serialization.
A curated list of awesome Keras projects, libraries, and resources for deep learning.
An open-source quantitative crypto trading bot framework for backtesting and live trading with multi-coin, multi-timeframe strategies.
A curated collection of resources, papers, and implementations for training Generative Adversarial Networks (GANs).
A PyCon Canada 2016 session demonstrating neural network basics and data-driven code reuse with simple Python examples.
A V programming language module for creating and training multi-layer neural networks with backpropagation.
A Crystal shard providing artificial intelligence algorithms, including neural networks, ported from the AI4R library.
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