⏰ AI conference deadline countdowns
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Updated
Sep 15, 2024 - JavaScript
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
⏰ AI conference deadline countdowns
Firefox Translations is a webextension that enables client side translations for web browsers.
Deep Neural Network Library for JavaScript.
🍃 Using a Neural Network to improve web accessibility in JavaScript.
Season 2 of @twosigma's artificial intelligence programming challenge
The Cutest Deep Learning Framework which is also a wonderful Declarative Language
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3
LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.
A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.
CAlculation of NMR Chemical Shifts using Deep LEarning
Network Assembler is a simple way to create neural networks in Keras
REPO MOVED TO https://repetere.github.io/jsonstack-model - Deep Learning Classification, Clustering, LSTM Time Series and Regression with Tensorflow
Recognize Digits using Deep Neural Networks in Google Chrome live!
🏙 Interactive in-editor performance profiling, visualization, and debugging for PyTorch neural networks.
Predicts COVID-19 from PA view of X-ray when submitted on the website
🍃 Using a Neural Network to recognize MNIST digets in JavaScript.
Audio De-Noiser using a Convolutional Neural Network Architecture built with Tensorflow.js
System that learns how often a room is occupied based on time, movement, air conditioning preferences and learns on historic data. This can have a significant impact on the energy use around a house/building.
Simplified Multi-Layer Neural Network for JavaScript.
for the momery of ZheLi