Julia implementation of the ISOKANN algorithm for the computation of invariant subspaces of Koopman operators

A powerful, no code solution for control and systems engineering

A package with exported learning networks that combine resampling methods from Imbalance.jl and classification models from MLJ

This repo is for the final project for Comp541 Deep Learning class in Koc University.

Julia Package for Active Inference

Optimally tuned ridge regression when features can be partitioned into groups.

A Julia package for people that love to learn new things about constraints

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Bayesian Safety Signal Detection in Julia

Compressed belief-state MDPs in Julia compatible with POMDPs.jl

Empirical Bayes shrinkage in Julia

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Monotone Cubic B-Splines (arXiv:2307.01748)

Dynamical systems identification

Neural Networks deals with hardware implementations and simulation in mind

One package to train them all

Advanced process control for AutomationLabs

Utilities to test implementations of the MLJ model interface and provide integration tests for the MLJ ecosystem

Differential Inequality Algorithms for Parametric ODEs

Power spectrum inference of irregularly sampled time series using Gaussian Processes in Julia

Integrate deep neural network and reverse mode automatic differentiation into Gauss process, have fun !

Julia package for Light Based Tomographic Volumetric Additive Manufacturing.

Classification algorithms based on kernel nearest centers

A Julia package containing GNC algorithms for autonomous aerospace systems

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Deep and convolutional neural networks with feedback operations in Flux.

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Lightweight module for fusing physical and neural models

Trigger Package for AMDGPU Support in Lux.jl

Non-critical functions for SeaPearl

Computational models of algorithmic competition

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Differentiable rasterisation of point clouds in julia

Differentiable, CUDA supported, image rotation algorithm in Julia.

A Julia package for Generative Topographic Mapping

Move your models to Knet!

Scalable and distributed matrix-free abstractions for machine learning and scientific computing

Operator pack for Jets.jl. Part of the COFII framework.

Little helpers for neural networks in the Knet ecosystem