Naive Bayes classifier
MIT License
A unified interface for simulating and evaluating sequential sampling models in Julia.
A Keras-like experimental Deep Learning framework in Julia 1.6
Linear Regression for Julia
Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
A framework for composing Neural Processes in Julia
Frequency tables in Julia
Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by R...
Bayesian optimization for Julia
A Julia package for simulation, inference and learning of Hidden Markov Models.
Fast operator-overloading Jacobian & Hessian sparsity detection.
Julia (Flux) implementation of NBeats
Please do not feed the models
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning...
Data Structures for Optimization Models
Gaussian Process package based on data augmentation, sparsity and natural gradients