Pruning framework and methods for Flux

ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.

Learning state-space targets in dynamical systems

Fast operator-overloading Jacobian & Hessian sparsity detection.

Accelerate your ML research using pre-built Deep Learning Models with Lux

Deep Learning made easy and fast

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

Julia implementation of Byte Pair Encoding for NLP

Neural network training, fast and easy.

Your local Flux surgeon

High-performance parallel and distributed datastore for Julia

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

One stop solutions for all things optimization

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DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

Differentiable tree-based models for tabular data

Useful Layers for Knet

SeaPearl's pool of examples

The Julia implementation of the generalised hierarchical Gaussian filter

A package to calibrate atmospheric turbulence and convection parameterizations using gradient-free ensemble Kalman methods

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CPU/GPU parallel performance portable layer in Julia via functions as arguments

Lazy, structured, and efficient operations with kernel matrices.

An multi-platform spiking neural network simulator

General Relativistic Orbital Dynamics in Julia

Easily optimize generic performance metrics in differentiable learning.

Memory efficient one-hot array encodings

From Semiconductor to TransistorLevel Modeling in Julia

MeshGraphNets.jl is a software package for the Julia programming language that provides an implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

PointNeighbors.jl: Neighborhood search with fixed search radius in Julia

GPT-3 as a generative function in Gen.

Simple, blazing fast, transformer components.

Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks

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Representing machine learning models using mathematical programming

Uniform interface for machine learning in Julia

Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data

An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl

A neural network accelerated solver for mixed-strategy solutions of trajectory games. Do you even lift?