Alternatives and similar repositories for pyten

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

• tamu-helios / pyten
  TAMU HELIOS Group PyTen Package
  ☆14Updated 6 years ago
• xinychen / Tensor4ML
  Tensor decomposition for machine learning (w/ Python implementation)
  ☆218Updated 9 months ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆85Updated 4 years ago
• tiskw / random-fourier-features
  Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
  ☆101Updated 9 months ago
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆61Updated 4 years ago
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆113Updated last month
• AWehenkel / UMNN
  Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…
  ☆123Updated 7 months ago
• mdbartos / graph-signals
  🕸 Implementations of graph signal processing techniques from "The emerging field of signal processing on graphs" (2013)
  ☆32Updated 6 years ago
• jwcalder / GraphLearning
  Python package for graph-based clustering and semi-supervised learning
  ☆94Updated 4 months ago
• tonyduan / matrix-completion
  Lightweight Python library for in-memory matrix completion.
  ☆107Updated 2 years ago
• DeepGraphLearning / ContinuousGNN
  ☆47Updated 3 years ago
• JunwenBai / correlation-gnn
  Correlated Graph Neural Networks
  ☆27Updated 5 years ago
• kurowasan / GraN-DAG
  ☆93Updated 2 years ago
• tnbar / awesome-tensorial-neural-networks
  A thoroughly investigated survey for tensorial neural networks.
  ☆137Updated 6 months ago
• kamdh / tvart
  Time-varying Autoregression with Low Rank Tensors
  ☆15Updated 4 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆61Updated 4 years ago
• jingcoco / Online-Kernel-Learning
  This is all the codes used in "Large Scale Online Kernel Learning"
  ☆11Updated 8 years ago
• IBM / TM-GCN
  Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product
  ☆28Updated 4 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆73Updated 3 years ago
• EDAPINENUT / EDTPP
  ☆16Updated 3 years ago
• SimiaoZuo / Transformer-Hawkes-Process
  Code for Transformer Hawkes Process, ICML 2020.
  ☆196Updated last year
• woshiyyya / ERPP-RMTPP
  A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
  ☆55Updated 6 years ago
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆73Updated 4 years ago
• rballester / tntorch
  Tensor Network Learning with PyTorch
  ☆299Updated last year
• HongtengXu / PoPPy
  A Point Process Toolbox Based on PyTorch
  ☆132Updated 4 years ago
• Kaixiong-Zhou / EGNN
  Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.
  ☆27Updated 3 years ago
• xwcao / TGAN
  Code for the paper "Tensorizing Generative Adversarial Nets"
  ☆15Updated 7 years ago
• QiangAIResearcher / sahp_repo
  ☆60Updated 4 years ago
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆79Updated 4 years ago
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆53Updated 4 years ago