adlib
by vu-aml
Game-Theoretic Adversarial Machine Learning Library
AI summary
Machine learning library
A library providing a set of learner and adversary modules for game-theoretic machine learning.
- stars
- 59
- forks
- 16
- watching
- 9
Similar projects
Found by comparing what the projects do, not just their names.
aria42/infer176
ML library
A Clojure-based library for building machine learning and statistical models in a flexible and composable way.
Machine learning library
A Rust machine learning crate providing algorithms and utilities for building and training machine learning models.
Machine learning library
An easy-to-use machine learning library with various algorithms for classification and regression tasks.
Machine Learning Systems
A repository of papers and resources on systems for machine learning and machine learning for systems.
Machine Learning Library
A comprehensive Rust-based library providing tools and frameworks for machine learning and numerical computing.
mmaul/clml261
Machine Learning Library
A high-performance statistical machine learning library written in Common Lisp
ML dev env
An interactive machine learning development environment with support for Scala, JVM, and popular ML libraries.
AI/ML Guide
A comprehensive resource guide to stay updated on AI, ML, DL, and CV advancements
Machine Learning Library
A Julia library providing a consistent API for common machine learning algorithms
ML library
This is a collection of machine learning algorithms implemented in Python 3.6.
ML library
A machine learning library written in Lisp (Clojure) providing simple implementations of various algorithms and utilities.
Machine Learning Library
A fast machine learning library that uses CPU and GPU acceleration.
AI library
A collection of algorithms and data structures for artificial intelligence and machine learning in Swift
AI attack analysis tool
A framework to help security analysts understand and prepare for adversarial machine learning attacks on AI systems
Machine Learning Library
Implementations of basic machine learning algorithms in Haskell