A collection of research materials on explainable AI/ML
- interpretable-ai
- explainable-ai
- interpretability
- explanation-system
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A collection of research materials on explainable AI/ML
A small guide to help those looking to hire a developer or designer for iOS work. While tailored for iOS, many questions could be used for Android developers or designers as well. A great self-test if you're looking to keep current or practice for your own interview.
Collected dispatches from The Quest for Scalable CSS
Code to accompany Advanced Analytics with Spark from O'Reilly Media
:mortar_board: The sequel to shader-school: Learn the WebGL API
List of Elixir books
My curated list of audio DSP and plugin development resources (Github fork)
Complete working example of using Domain Driven Design (DDD), Hexagonal Architecture, CQRS, Event Sourcing (ES), Event Driven Architecture (EDA), Behaviour Driven Development (BDD) using TypeScript and NestJS. Like what you see? Don't forget to star! ⭐ ^^^
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
A functional frontend framework.
Neural Network built in Apple Playground using Swift
JavaScript SDK Design Guide extracted from work and personal experience
A collection of computer vision pre-trained models.
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
This repository is a getting started guide to Singer.
[DISCONTINUED] Collection of awesome resources for the A-Frame WebVR framework.
Examples and hands-on labs for Linux tracing tools workshops
Pitchfork is a Set of C++ Project Conventions
A collection of fascinating and bizarre Censys Search Queries
A module to teach you how to module.
A list of helpful Angular interview questions you can use to interview potential candidates, test yourself or completely ignore.
All about erlang programming language [powerd by community]
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
🏝 A curated list of awesome resources for Digital Nomads.