Julia language in machine learning: algorithms, applications, and open issues
DOI10.1016/j.cosrev.2020.100254zbMath1478.68285arXiv2003.10146OpenAlexW3025833400WikidataQ122053556 ScholiaQ122053556MaRDI QIDQ2026295
Kaifeng Gao, Jingzhi Tu, Gang Mei, Francesco Piccialli, Zenan Huo, Salvatore Cuomo
Publication date: 19 May 2021
Published in: Computer Science Review (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2003.10146
supervised learningartificial neural networksunsupervised learningmachine learningdeep learningJulia language
Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Theory of programming languages (68N15) Research exposition (monographs, survey articles) pertaining to computer science (68-02)
Uses Software
- FANN
- Matlab
- ALGLIB
- LIBSVM
- LLVM
- Scikit
- Pegasos
- PyMC
- Orange
- fastcluster
- GPstuff
- Julia
- SnFFT
- Python
- BayesPy
- jInv
- Hyperopt
- FastBDT
- PyTorch
- ImageNet
- ZOOpt
- GitHub
- DifferentialEquations.jl
- PySSM
- ABrox
- DiffEqFlux
- LightGraphs.jl
- ForneyLab
- Augmentor
- Knet
- Flux
- CUDAnative.jl
- GaussianMixtures
- ALiPy
- NearestNeighbors.jl
- CUDA.jl
- MultivariateStats.jl
- AlexNet
- BAMSE
- LightNLP.jl
- ImageProjectiveGeometry.jl
- Metalhead.jl
- DLL
- TensorFlow.jl
- GCNv2
- Jlnv
- BSMac
- LIBSVM.jl
- EmpiriciSN
- GmmFlow.jl
- pyGCluster
- Kpax3
- Lingvo
- Fizzy
- PRMLT
Cites Work
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- The internet of things: a survey
- Pegasos: primal estimated sub-gradient solver for SVM
- Model-based co-clustering for ordinal data
- Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis
- Hierarchical clustering schemes
- Julia: A Fresh Approach to Numerical Computing
- Machine learning: Trends, perspectives, and prospects
- Advances in natural language processing
- A benchmark of selected algorithmic differentiation tools on some problems in computer vision and machine learning
- jInv--a Flexible Julia Package for PDE Parameter Estimation
- Random forests
