Machine Learning Packages
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ZigZagBoomerang.jl100Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection
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Yota.jl158Reverse-mode automatic differentiation in Julia
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XLATools.jl47"Maybe we have our own magic."
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Wandb.jl82Unofficial Julia bindings for logging experiments to wandb.ai
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ValueHistories.jl29Utilities to efficiently track learning curves or other optimization information
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UNet.jl48Generic UNet implementation written in pure Julia, based on Flux.jl
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Turkie.jl68Turing + Makie = Turkie
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TSVD.jl40Truncated singular value decomposition with partial reorthogonalization
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TSML.jl112A package for time series data processing, classification, clustering, and prediction.
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TransformVariables.jl66Transformations to contrained variables from ℝⁿ.
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Tracker.jl51Flux's ex AD
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Torch.jl211Sensible extensions for exposing torch in Julia.
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TheDataMustFlow.jl3Julia tools for feeding tabular data into machine learning.
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TensorFlow.jl884A Julia wrapper for TensorFlow
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TensorBoardLogger.jl102Easy peasy logging to TensorBoard with Julia
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SVMLightLoader.jl5Loader of svmlight / liblinear format files
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Strada.jl33A deep learning library for Julia based on Caffe
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StatisticalRethinking.jl386Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
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SparsityDetection.jl59Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)
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SoftConfidenceWeighted.jl8Exact Soft Confidence-Weighted Learning
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SimpleML.jl1Textbook implementations of some Machine Learning Algorithms in Julia.
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SimpleChains.jl234Simple chains
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ShapML.jl82A Julia package for interpretable machine learning with stochastic Shapley values
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SFA.jl0Slow Feature Analysis in Julia
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SciMLWorkshop.jl36Workshop materials for training in scientific computing and scientific machine learning
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ScikitLearnBase.jl9Abstract interface of ScikitLearn.jl
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ScikitLearn.jl546Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
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Salsa.jl65-
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ReservoirComputing.jl206Reservoir computing utilities for scientific machine learning (SciML)
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RegERMs.jl16DEPRECATED: Regularised Empirical Risk Minimisation Framework (SVMs, LogReg, Linear Regression) in Julia
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ReactiveMP.jl99High-performance reactive message-passing based Bayesian inference engine
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PyCallChainRules.jl56Differentiate python calls from Julia
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ProjectiveDictionaryPairLearning.jl16Julia code for the paper S. Gu, L. Zhang, W. Zuo, and X. Feng, “Projective Dictionary Pair Learning for Pattern Classification,” In NIPS 2014
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PrivateMultiplicativeWeights.jl46Differentially private synthetic data
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PredictMD.jl17Uniform interface for machine learning in Julia
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ParticleFilters.jl45Simple particle filter implementation in Julia - works with POMDPs.jl models or others.
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Orchestra.jl44Heterogeneous ensemble learning for Julia.
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OpenAIReplMode.jl47-
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OpenAI.jl91OpenAI API wrapper for Julia
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OnlineAI.jl34Machine learning for sequential/streaming data
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