Neural Network
Showing 36 of 159 projects
An accelerated machine learning framework for Go, offering a PyTorch/Jax/TensorFlow-like experience with support for CPUs, GPUs, TPUs, and WASM.
A neural network built in Swift Playgrounds that learns to recognize hand-drawn emojis from 8x8 pixel images.
An audio processing toolbox using PyTorch 1D convolutional neural networks for on-the-fly spectrogram generation with trainable kernels.
A TensorFlow-based GAN model that upscales images by 4x while generating photo-realistic details.
A dataflow compiler for quantized neural network inference on FPGAs, generating highly efficient custom accelerators.
A Go interface for importing and executing pre-trained ONNX neural network models without framework dependencies.
Fast multilayer perceptron neural network library for iOS and Mac OS X using Apple's Accelerate Framework.
MatLab/Octave implementations of popular machine learning algorithms with detailed mathematical explanations and code examples.
A convolutional neural network program that identifies inverted Chinese character captchas used by Zhihu for login verification.
TensorFlow implementation of character-aware neural language models using CNN, highway networks, and LSTM.
A lightweight C library for building and training small to medium artificial neural networks with minimal dependencies.
A deep learning library built on Chainer for molecular property prediction using graph convolutional neural networks.
A tensor library for differentiable functional programming in F#, with PyTorch-like APIs and GPU support.
Classify music genre from a 10-second audio stream using a convolutional neural network trained on mel-frequency spectrograms.
A simplified Keras-like framework for PyTorch that reduces boilerplate code for training neural networks.
A command-line tool for neural network inference using Unix pipeline philosophy.
A Go library implementing feedforward/backpropagation neural networks with support for multiple activation functions, solvers, and classification modes.
Ruby gem providing bindings to FANN (Fast Artificial Neural Network) for building and training neural networks.
A real-time, uncertainty-aware deep learning model for semantic segmentation of 3D LiDAR point clouds in autonomous driving.
A parallel deep learning framework written in modern Fortran for training and inference of dense, convolutional, and transformer networks.
A lightweight C++ machine learning library designed for embedded electronics and robotics applications.
OCaml bindings for PyTorch, providing NumPy-like tensor computations with GPU acceleration and automatic differentiation.
An AI-powered captcha solver using SimGAN to generate synthetic training data without manual labeling.
A lightweight neural network for near-real-time semantic segmentation of LiDAR point clouds using polar coordinate quantization.
A fast neural network framework for iOS and macOS using Swift and Metal for GPU acceleration.
A neural network playground built in pure Swift for iOS, with no third-party dependencies.
An easy-to-use C# deep learning library with support for multiple backends including TensorFlow, PyTorch, and CUDA/OpenCL.
A Go implementation of neural networks including BackPropagation, RBF, and Perceptron networks with parallel processing capabilities.
A feedforward neural network library for Rust implementing backpropagation training.
A Swift library providing neural networks, machine learning algorithms, and AI data structures for iOS and macOS development.
A Docker-based image annotation tool for bounding box labeling with auto-labeling support, designed for deep learning training.
A C++ neural network library for Node.js optimized for large datasets and multi-threaded training.
A comprehensive scientific computing and AI/ML library in pure Rust, offering SciPy-compatible APIs with 10-100x performance gains.
A lightweight neural network library for Deno with CPU, GPU, and WASM backends, designed for serverless and edge environments.
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.
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