Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

Deep Learning for Julia

Read ONNX graphs in Julia

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

Gaussian Process package based on data augmentation, sparsity and natural gradients

Complex neural network examples for Flux.jl

A flexible neural net training library inspired by fast.ai

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Julia Machine Learning library

Evaluating Robustness of Neural Networks with Mixed Integer Programming

A package for time series data processing, classification, clustering, and prediction.

Deep RNN, LSTM, GRU, GF-RNN, and GF-LSTMs in Julia

Utilities and abstractions for Machine Learning tasks

A parser combinator library for Julia

Explainable AI in Julia.

Starter kit for legendary models

Easy peasy logging to TensorBoard with Julia

Utility package for generating, loading, splitting, and processing Machine Learning datasets

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

High-performance reactive message-passing based Bayesian inference engine

High performance tokenizers for natural language processing and other related tasks

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet

Julia FFI interface to Microsoft's LightGBM package

Beta Machine Learning Toolkit

OpenAI API wrapper for Julia

Bayesian optimization for Julia

A rewrite of Julia's parser in Julia

A Julia package for non-negative matrix factorization

Pure Julia implementations of single-pass object detection neural networks.

LIBSVM bindings for Julia

Build flexible hierarchical multi-instance learning models.

Software and high-level API for offline, low latency and secure translation of human speech to computer commands or text on Linux, MacOS and Windows

A Julia package for interpretable machine learning with stochastic Shapley values

Unofficial Julia bindings for logging experiments to wandb.ai

Functions and data dependencies for loading various word embeddings (Word2Vec, FastText, GLoVE)

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

Home of the MLJ model registry and tools for model queries and mode code loading

Machine learning kernels in Julia.

Machine learning kernels in Julia.

A julia package for representing and manipulating model semantics