Alternatives and similar repositories for pyten

Users that are interested in pyten are comparing it to the libraries listed below

• xinychen / Tensor4ML
  Tensor decomposition for machine learning (w/ Python implementation)
  ☆224Updated last year
• tamu-helios / pyten
  TAMU HELIOS Group PyTen Package
  ☆14Updated 7 years ago
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆63Updated 4 years ago
• AWehenkel / UMNN
  Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…
  ☆125Updated 11 months ago
• rballester / tntorch
  Tensor Network Learning with PyTorch
  ☆302Updated last year
• tonyduan / matrix-completion
  Lightweight Python library for in-memory matrix completion.
  ☆108Updated 2 years ago
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆119Updated 4 months ago
• yincheng / GGP
  Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'
  ☆38Updated 7 years ago
• tnbar / awesome-tensorial-neural-networks
  A thoroughly investigated survey for tensorial neural networks.
  ☆141Updated 10 months ago
• kurowasan / GraN-DAG
  ☆97Updated 2 years ago
• jingcoco / Online-Kernel-Learning
  This is all the codes used in "Large Scale Online Kernel Learning"
  ☆11Updated 8 years ago
• Zymrael / gde
  Neural Graph Differential Equations (Neural GDEs)
  ☆210Updated 4 years ago
• fishmoon1234 / DAG-GNN
  ☆316Updated 3 years ago
• jwcalder / GraphLearning
  Python package for graph-based clustering and semi-supervised learning
  ☆100Updated 3 months ago
• VITA-Group / Open-L2O
  Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
  ☆290Updated 2 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆89Updated 4 years ago
• muhanzhang / D-VAE
  D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019
  ☆145Updated 5 years ago
• lxcnju / NeuralProcess
  PyTorch for Neural Process in ICML 2018
  ☆20Updated 6 years ago
• DartML / Stein-Variational-Gradient-Descent
  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
  ☆100Updated 6 years ago
• hichamjanati / srf
  Random Fourier Features
  ☆50Updated 8 years ago
• USC-Melady / KDD19-CoSTCo
  ☆22Updated 2 years ago
• kirthevasank / mf-gp-ucb
  Multi-fidelity Gaussian Process Bandit Optimisation
  ☆39Updated 9 years ago
• tiskw / random-fourier-features
  Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
  ☆103Updated last year
• amazon-science / co-with-gnns-example
  ☆161Updated last year
• xwcao / TGAN
  Code for the paper "Tensorizing Generative Adversarial Nets"
  ☆15Updated 7 years ago
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆134Updated 2 years ago
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆50Updated 3 years ago
• philip-bl / tensorizing_neural_networks-novikov_2015
  MNIST experiment from Tensorizing neural networks (Novikov et al. 2015)
  ☆13Updated 6 years ago
• QUVA-Lab / COMBO
  ☆50Updated last year
• rballester / tensor_notes
  ☆14Updated 7 years ago