Julia FFI interface to Microsoft's LightGBM package

Reservoir computing utilities for scientific machine learning (SciML)

Lightweight package to interface with MLJ

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Import/export ONNX models

Move your models to Knet!

High-performance reactive message-passing based Bayesian inference engine

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

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Renamed to Avalon.jl

Julia bindings for the Enzyme automatic differentiator

"Maybe we have our own magic."

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

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

Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)

Evolve Flux networks from scratch!

Use Optim to train Flux models and visualize loss landscapes

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

Flux's ex AD

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

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

Easy peasy logging to TensorBoard with Julia

Boosted trees in Julia

Julia Implementation of Transformer models

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Core functionality for the MLJ machine learning framework

Julia interface to GloVe

Hard-Forked from JuliaText/TextAnalysis.jl

A julia package for representing and manipulating model semantics

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

Bayesian optimization for Julia

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Burkhard-Keller trees implementation

Julia API for ConceptNetNumberbatch

Dependency parsing in Julia

A simple function, why, which gives randomly generated answers (please note that not all answers might be helpful).

A Julia machine learning framework

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

Reverse-mode automatic differentiation in Julia

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.