Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

A mindmap summarising Deep Learning concepts.

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

A deep learning model for style-specific music generation.

Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️

Action recognition using soft attention based deep recurrent neural networks

A curated list of amazingly awesome Cybersecurity datasets

Time series forecasting with PyTorch

JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.

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.

Example codes of new book ROS Robotics Projects

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Recursively (deep) clone JavaScript native types, like Object, Array, RegExp, Date as well as primitives. Used by superstruct, merge-deep, and many others!

A professional deep clone library

Use property paths (`a.b.c`) get a nested value from an object.

An isomorphic and configurable javascript utility for objects deep cloning that supports circular references.

Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model

Few Shot Learning by Siamese Networks, using Keras.

Demo applications showcasing DJL

implemement of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL_CVPR2016

Recursively merge values in a JavaScript object.

Code release for "3D-RelNet: Joint Object and Relation Network for 3D prediction"

Deeply mix the properties of objects into the first object, while also mixing-in child objects.

Assert deeply nested values in Jest

YoloV3 in Pytorch and Jupyter Notebook

Introspection for serializable arrays and JSON friendly objects.

🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)

A deep learning based model to judge the AQ, Appearance Quotient, of faces. (For Chinese Young Girls Only)