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deep
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Low-code framework for building custom LLMs, neural networks, and other AI models
A mindmap summarising Deep Learning concepts.
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️
A deep learning model for style-specific music generation.
JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
Action recognition using soft attention based deep recurrent neural networks
Graph deep learning library for materials
Recursively (deep) clone JavaScript native types, like Object, Array, RegExp, Date as well as primitives. Used by superstruct, merge-deep, and many others!
💡 Adversarial attacks on explanations and how to defend them
Use property paths (`a.b.c`) get a nested value from an object.
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
High-performance immutable data structures for modern JavaScript and TypeScript applications. Functional interfaces, deep/composite operations API, mixed mutability API, TypeScript definitions, ES2015 module exports.
Reinforcement learning with tensorflow 2 keras
