AI Packages
-
Salsa.jl10-
-
XLATools.jl20"Maybe we have our own magic."
-
Glowe.jl3Julia interface to GloVe
-
StringAnalysis.jl6Hard-Forked from JuliaText/TextAnalysis.jl
-
BKTrees.jl4Burkhard-Keller trees implementation
-
ConceptnetNumberbatch.jl1Julia API for ConceptNetNumberbatch
-
DependencyTrees.jl5Dependency parsing in Julia
-
Why.jl2A simple function, why, which gives randomly generated answers (please note that not all answers might be helpful).
-
Keras.jl15Run keras models with a Flux backend
-
ONNX.jl62Read ONNX graphs in Julia
-
JuML.jl32Machine Learning in Julia
-
EmpiricalRiskMinimization.jl2Empirical Risk Minimization in Julia.
-
NetworkLearning.jl3Baseline collective classification library
-
PredictMD.jl9Uniform interface for machine learning in Julia
-
SumProductNetworks.jl26Sum-product networks in Julia.
-
DistLearn.jl21Example of distributed learning in Julia
-
TheDataMustFlow.jl3Julia tools for feeding tabular data into machine learning.
-
LearningStrategies.jl24A generic and modular framework for building custom iterative algorithms in Julia
-
ParticleFilters.jl26Simple particle filter implementation in Julia - works with POMDPs.jl models or others.
-
MLLabelUtils.jl22Utility package for working with classification targets and label-encodings
-
BayesianNonparametrics.jl25BayesianNonparametrics in julia
-
MLDatasets.jl99Utility package for accessing common Machine Learning datasets in Julia
-
CorpusLoaders.jl16A variety of loaders for various NLP corpora.
-
LearnBase.jl16Abstractions for Julia Machine Learning Packages
-
Flux.jl2245Relax! Flux is the ML library that doesn't make you tensor
-
ScikitLearnBase.jl8Abstract interface of ScikitLearn.jl
-
ScikitLearn.jl378Julia implementation of the scikit-learn API
-
HSIC.jl5Julia implementations of the Hilbert-Schmidt Independence Criterion (HSIC)
-
EnglishText.jl13Utilities for English-language quirks in Julia
-
Flimsy.jl1Gradient based Machine Learning for Julia
-
DecisionTrees.jl2-
-
Merlin.jl140Deep Learning for Julia
-
TensorFlow.jl746A Julia wrapper for TensorFlow
-
ValueHistories.jl15Utilities to efficiently track learning curves or other optimization information
-
SpikeNet.jl13A spiking neural network simulator written in Julia.
-
LossFunctions.jl87Julia package of loss functions for machine learning.
-
MochaTheano.jl0Allow use of Theano for automatic differentiation within Mocha, via PyCall
-
LIBLINEAR.jl7LIBLINEAR bindings for Julia
-
MXNet.jl367MXNet Julia Package - flexible and efficient deep learning in Julia
-
Knet.jl1127Koç University deep learning framework.
Loading more...