Results for "convolutional"

Deep Learning library. Supports Convolutional (and ordinary) Neural Networks

Deep Convolutional Network for Image Super-Resolution

Image super-resolution using deep convolutional neural network (CNN)

This package encompasses machine learning models, such as the Convolutional Neural Networks (CNN) model used for text recognition, empowering various foundational products under DCV architecture.

Javascript based deep learning framework for basic and convolutional neural networks.

Emscripten-compiled output for ka9q's libfec. Provides forward error correction and decoding for convolutional codes and Reed-Solomon. Compiled as side module, can be linked to an emscripten main module.

This package includes Convolutional Neural Networks (CNN) model files designed to support character recognition capabilities of the dynamsoft-label-recognizer package.

This is encoder decoder for trellis based convolutional codes ported from acorbe/convEncoder written in Java.

Polyphonic pitch detection using CREPE (Convolutional Recurrent Estimators) with spectral harmonic analysis. Detects multiple simultaneous pitches from audio input using deep learning-based fundamental frequency estimation combined with non-negative matri

Little npm about c0met.xyz api

Run Keras models in the browser, with GPU support using WebGL

Handtrackjs: A library for prototyping realtime hand tracking using neural networks (tensorflowjs)

Astermind Premium - Premium ML Toolkit

ConvNetJS is a Javascript implementation of Neural networks.

Encode and decode text as audio signals - CLI tool for transmitting data over phone calls and audio channels

Maxim Deblurring model for UpscalerJS. Deblur images with AI using Javascript

model image client decoder

Maxim Denoising model for UpscalerJS. Denoise images with AI using Javascript

ConvNetJs -- Version 2

Maxim Retouching model for UpscalerJS. Retouch images with AI using Javascript