A curated list of awesome responsible machine learning resources.
- fairness
- xai
- interpretability
- transparency
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A curated list of awesome responsible machine learning resources.
Highly customizable notification snackbars (toasts) that can be stacked on top of each other
Zero config PWA plugin for Next.js, with workbox 🧰
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
📱 A strongly-typed, caching GraphQL client for iOS, written in Swift.
The Apache Guacamole proxy daemon (guacd), C API (libguac), and protocol support.
A fast, powerful, safe and lightweight scripting language and engine for .NET
:rocket: A strongly-typed, caching GraphQL client for the JVM, Android, and Kotlin multiplatform.
🐬 Beautiful, performant feature flags for Ruby.
A better compressed bitset in Java: used by Apache Spark, Netflix Atlas, Apache Pinot, Tablesaw, and many others
FusionCache is an easy to use, fast and robust hybrid cache with advanced resiliency features.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
A web based audio/video streaming application and file manager allowing you to access your music & videos from anywhere, using almost any internet enabled device.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
TranslatedA Golang implemented Redis Server and Cluster.
Type safe SQL builder with code generation and automatic query result data mapping
A python library for self-supervised learning and latent world models on images.
Pony Object Relational Mapper
Apache Cordova Android
Java dataframe and visualization library
AI Infra / AI Orchestration / AI Control Plane
📜🔜🌲 Simple, fast, powerful parser toolkit for JavaScript.
Code accompanying the book "Machine Learning for Hackers"