Ecosyste.ms: Packages

An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.

juliahub.com "neural-networks" keyword

ModelingToolkitNeuralNets 1.0.1 ๐Ÿ’ฐ
Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
2 versions - Latest release: 4 days ago - 11 stars on GitHub
BetaML 0.11.4
Beta Machine Learning Toolkit
37 versions - Latest release: about 1 month ago - 1 dependent package - 90 stars on GitHub
NeuralPDELogging 0.1.0 ๐Ÿ’ฐ
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientifi...
1 version - Latest release: almost 5 years ago - 904 stars on GitHub
Top 6.0% on juliahub.com
NeuralPDE 5.16.0 ๐Ÿ’ฐ
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientifi...
64 versions - Latest release: 21 days ago - 3 dependent packages - 904 stars on GitHub
Top 3.9% on juliahub.com
DiffEqFlux 3.4.0 ๐Ÿ’ฐ
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, ...
110 versions - Latest release: 29 days ago - 14 dependent packages - 836 stars on GitHub
LuxLib 0.3.17
Backend for Lux.jl
38 versions - Latest release: 4 days ago - 1 dependent package - 6 stars on GitHub
HighDimPDE 1.2.1 ๐Ÿ’ฐ
A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac m...
2 versions - Latest release: over 1 year ago - 65 stars on GitHub
DeepEquilibriumNetworks 2.1.0 ๐Ÿ’ฐ
Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelera...
19 versions - Latest release: 2 days ago - 45 stars on GitHub
CompositionalNetworks 0.5.5
A Julia package for Interpretable Compositional Networks (ICN), a variant of neural networks, all...
28 versions - Latest release: about 1 month ago - 3 dependent packages - 12 stars on GitHub
AbstractNeuralNetworks 0.3.0
Abstract data structures for the construction of neural networks.
8 versions - Latest release: 4 days ago - 1 dependent package - 4 stars on GitHub
Top 0.7% on juliahub.com
Flux 0.14.15 ๐Ÿ’ฐ
Relax! Flux is the ML library that doesn't make you tensor
83 versions - Latest release: about 1 month ago - 161 dependent packages - 14 dependent repositories - 4,320 stars on GitHub
Top 6.4% on juliahub.com
Lux 0.5.35
Explicitly Parameterized Neural Networks in Julia
96 versions - Latest release: 13 days ago - 13 dependent packages - 424 stars on GitHub
NaiveNASlib 2.0.11
Relentless mutation!!
21 versions - Latest release: 9 months ago - 3 dependent packages - 17 stars on GitHub
GigaSOM 0.7.0
Huge-scale, high-performance flow cytometry clustering in Julia
24 versions - Latest release: about 2 years ago - 2 dependent packages - 30 stars on GitHub
KnetNLPModels 0.2.3
An NLPModels Interface to Knet
5 versions - Latest release: 7 months ago - 8 stars on GitHub
NeuralNetDiffEq 1.6.0 ๐Ÿ’ฐ
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientifi...
11 versions - Latest release: over 1 year ago - 895 stars on GitHub
EvidentialFlux 1.1.2
Evidential Deep Learning Layers for Flux
1 version - Latest release: over 1 year ago - 4 stars on GitHub
MixtureDensityNetworks 0.3.0
A simple interface for defining, training, and deploying MDNs.
6 versions - Latest release: 9 months ago - 2 stars on GitHub
ExplicitFluxLayers 0.2.0
Explicitly Parameterized Neural Networks in Julia
2 versions - Latest release: over 1 year ago - 419 stars on GitHub
LuxCUDA 0.3.2
Trigger Package for CUDA Support in Lux.jl
8 versions - Latest release: about 2 months ago - 3 dependent packages - 419 stars on GitHub
Top 6.9% on juliahub.com
AutoGrad 1.2.5
Julia port of the Python autograd package.
15 versions - Latest release: over 1 year ago - 4 dependent packages - 4 dependent repositories - 168 stars on GitHub
BoltzmannMachines 1.3.0
A Julia package for training and evaluating multimodal deep Boltzmann machines
5 versions - Latest release: over 2 years ago - 1 dependent package - 4 dependent repositories - 40 stars on GitHub
Boltz 0.3.3
Accelerate your ML research using pre-built Deep Learning Models with Lux
13 versions - Latest release: about 2 months ago - 419 stars on GitHub
Top 6.3% on juliahub.com
ADCME 0.7.3
Automatic Differentiation Library for Computational and Mathematical Engineering
50 versions - Latest release: over 1 year ago - 5 dependent packages - 278 stars on GitHub
NaiveGAflux 0.11.1
Evolve Flux networks from scratch!
24 versions - Latest release: 4 months ago - 41 stars on GitHub
NaiveNASflux 2.0.11
Your local Flux surgeon
23 versions - Latest release: 4 months ago - 2 dependent packages - 23 stars on GitHub
AdversarialPrediction 0.1.1
Easily optimize generic performance metrics in differentiable learning.
2 versions - Latest release: over 1 year ago - 19 stars on GitHub
Flux2Lux 0.1.0
Explicitly Parameterized Neural Networks in Julia
1 version - Latest release: over 1 year ago - 1 dependent package - 398 stars on GitHub
LuxCore 0.1.14
LuxCore.jl defines the abstract layers for Lux. Allows users to be compatible with the entirely o...
15 versions - Latest release: 20 days ago - 7 dependent packages - 419 stars on GitHub
FeedbackNets 0.3.0
Deep and convolutional neural networks with feedback operations in Flux.
3 versions - Latest release: over 4 years ago - 4 stars on GitHub
FastRecurFlux 0.1.6
Make recurrent layers in Flux much faster
7 versions - Latest release: over 3 years ago - 0 stars on GitHub
Top 5.6% on juliahub.com
ComponentArrays 0.15.11
Arrays with arbitrarily nested named components.
130 versions - Latest release: about 1 month ago - 41 dependent packages - 275 stars on GitHub
Top 2.3% on juliahub.com
Knet 1.4.10
Koรง University deep learning framework.
34 versions - Latest release: about 2 years ago - 13 dependent packages - 8 dependent repositories - 1,418 stars on GitHub
StenoGraphs 0.3.0
Write meta graphs quickly
5 versions - Latest release: 26 days ago - 1 dependent package - 5 stars on GitHub
Related Keywords
machine-learning 28 deep-learning 22 julia 10 differential-equations 6 data-science 6 scientific-machine-learning 6 flux 6 sciml 5 differentialequations 5 neural-differential-equations 4 scientific-ml 4 scientific-ai 4 partial-differential-equations 4 ordinary-differential-equations 4 pde 4 pinn 4 ode 3 optimization 3 architecture-search 3 neural-network 3 neural-ode 3 hyperparameter-optimization 3 transfer-learning 2 morphisms 2 mutation 2 automatic-differentiation 2 knet 2 clustering 2 artificial-intelligence 2 deep-boltzmann-machine 1 restricted-boltzmann-machine 1 numerical-pdes 1 scientific-computing 1 tensorflow 1 genetic-algorithm 1 autograd 1 mixture-density-networks 1 mdns 1 evidential-deep-learning 1 nlpmodels 1 artifical-neural-network 1 neural-sdes 1 graphs 1 structural-equation-modeling 1 julialang 1 arrays 1 array 1 dynamical-systems 1 simulation-modeling 1 controls 1 simulation 1 modeling 1 named-tuples 1 modeling-language 1 control-systems 1 controls-and-dynamics 1 recurrent-networks 1 rnn 1 recurrent-neural-networks 1 recurrence 1 feedback 1 adversarial-prediction 1 pruning 1 evolution-strategies 1 neural-jump-diffusions 1 neural-sde 1 neural-pde 1 neural-dde 1 stiff-ode 1 stochastic-differential-equations 1 delay-differential-equations 1 physics-informed-learning 1 classification 1 decision-trees 1 imputation 1 pca 1 ml 1 random-forest 1 ai 1 regression 1 symbolic-numerics 1 ude 1 huge-scale 1 immunology 1 som 1 cytof 1 clustering-methods 1 self-organizing-map 1 flow-cytometry 1 mass-cytometry 1 large-scale 1 cytometry 1 the-human-brain 1 constraints 1 nonlinear-equations 1 nonlinear-solve 1 deep-equilibrium-models 1 implicit-deep-learning 1 pde-solver 1 feynman-kac 1