Lime: Explaining the predictions of any machine learning classifier
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In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
A neural network library built in JavaScript
- mind
- neural-network
- prediction
Strategies to Gekko trading bot with backtests results and some useful tools.
- gekko
- strategies
- gekko-strategies
- gekko-backtest
Fast webpages for all browsers.
- web-performance
- performance
- prerendering
- prerender
An agent skill for causal teaching figures through predict, try, and explain. Includes rendering kits, reviewed examples, and browser checks.
Predictable JavaScript abstractions for Discord API.
nengi+babylon template of a 3d shooter with client-side prediction and lag compensation
Open-source AI study companion — Google Classroom sync, Gemini AI plans, SRS flashcards, GPA predictor, AI quiz, MCP server for Claude Code. Try demo at shiori-v1.vercel.app