Deep Learning Classification, LSTM Time Series, Regression and Multi-Layered Perceptrons with Tensorflow
TypeScript
5
1
MIT License
This project provides a JavaScript library for implementing machine learning and neural network models using TensorFlow, including classification, regression, time series analysis, and multi-layered perceptrons. It's designed for developers who want to integrate machine learning capabilities into their JavaScript applications, particularly those working with Node.js or browser-based environments.
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Universal Sentence Encoder lite in TensorFlow.js
Hardware-accelerated JavaScript library for machine intelligence
TensorFlow layers API in JavaScript
Promise based HTTP client for the browser and node.js
t-SNE implementation in JavaScript
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Shareable commitlint config enforcing conventional commits
jsonstack data is a TypeScript module with simple and efficient tools for data mining and data analysis in TypeScript. When jsonstack data used with ML.js, pandas-js, and numjs, you're left with the equivalent R/Python tool set in TypeScript.
semantic-release plugin to create or update a changelog file
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semantic-release plugin to generate changelog content with conventional-changelog
An open-source machine learning framework.
Tensorflow model converter for javascript
TypeScript definitions for fs-extra
TypeScript definitions for jest
TypeScript definitions for lodash.range
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TypeScript is a language for application scale JavaScript development
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