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The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents
Browser automation CLI for AI agents
This is my personal knowledge-base. Here you'll find code-snippets, technical documentation, and command reference for various tools, and technologies.
Master programming by recreating your favorite technologies from scratch.
⚡️ Minimal H(TTP) framework built for high performance and portability
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
Add dynamic content loading to static sites with only 1 KiB of JS
A cross platform HTML5 QR code reader. See end to end implementation at: https://scanapp.org
An abstraction layer for webRTC. Aim is to simplify the HTML5 web standard webRTC in a similar manner to socket.io w/ websockets. Highly experimental technology
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Google Research
A simple compile-to-WebAssembly language
Example code snippets and machine learning code for Teachable Machine
Based on Joey Lee's project The Weather Here
Raw code from Live Stream May 13 2019
Repository for the "Machine Learning for the Web" class at ITP, NYU
Pretrained models for TensorFlow.js
Learn how to develop, deploy and iterate on production-grade ML applications.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
This is a converging bottom up implementation of the Recurrent Neural Network architecture with 3 layers and a tanh activation function using only numpy in Python.