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Tensor Networks

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/raghavian/lotenet_pytorch

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Tensor Networks for Medical Image Classification

https://github.com/DanyloKolesnyk/QuantumMLChronicles

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Comb Tensor Networks vs. Matrix Product States: Enhanced Efficiency in High-Dimensional Spaces

https://github.com/KritonKonstantinidis/CPD_Supervised_Learning

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Supervised Learning for Non-Sequential Data: A Canonical Polyadic Decomposition Approach

https://github.com/PGelss/scikit_tt

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Tensor-based algorithms for image classification

https://github.com/anonymous-research-entity/recsys2022-cqfs-ttopt

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Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks

https://github.com/antn2023/antn

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ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation

https://github.com/apozas/private-tn

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Privacy-preserving machine learning with tensor networks

https://github.com/bnuliujing/tn-for-unsup-ml

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Tensor networks for unsupervised machine learning

https://github.com/bsc-quantic/tn4ml

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tn4ml: Tensor Network Training and Customization for Machine Learning

https://github.com/chaoliatriken/tngps

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tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)

https://github.com/cqcl/lambeq

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lambeq: An Efficient High-Level Python Library for Quantum NLP

https://github.com/dingliu0305/Hybrid-Tensor-Network

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Quantum-Classical Machine learning by Hybrid Tensor Networks

https://github.com/dingliu0305/Tree-Tensor-Networks-in-Machine-Learning

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Machine Learning by Unitary Tensor Network of Hierarchical Tree Structure

https://github.com/emstoudenmire/TNML

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Supervised Learning with Quantum-Inspired Tensor Networks

https://github.com/francescomanigrass/proto-ltn

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PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning

https://github.com/frankschindler/OptimizedTensorContraction

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Algorithms for Tensor Network Contraction Ordering

https://github.com/frederikwilde/scalable-dynamical-hamiltonian-learning

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Scalably learning quantum many-body Hamiltonians from dynamical data

https://github.com/fwesel/tensorgp

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Tensor Network-Constrained Kernel Machines as Gaussian Processes

https://github.com/glivan/tensor_networks_for_probabilistic_modeling

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Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning

https://github.com/google/TensorNetwork

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TensorNetwork: A Library for Physics and Machine Learning

https://github.com/gylx/GTNRL-Trading

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Multi-Graph Tensor Networks

https://github.com/ivanDonadello/Visual-Relationship-Detection-LTN

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Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation

https://github.com/javilopiq/constraintnet.jl

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Cons-training Tensor Networks: Embedding and Optimization Over Discrete Linear Constraints

https://github.com/jemisjoky/umps_code

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Tensor Networks for Probabilistic Sequence Modeling

https://github.com/john-j-tanner/itensor-otoc-data

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Learning out-of-time-ordered correlators with classical kernel methods

https://github.com/joserapa98/tensorkrowch

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TensorKrowch: Smooth integration of tensor networks in machine learning

https://github.com/jurekjurek/managingambiguity

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Quantum Methods for Managing Ambiguity in Natural Language Processing

https://github.com/jyhong0304/visual-relationship-detection-rwfn

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Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection

https://github.com/konar1987/tr-qnet

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Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks

https://github.com/logictensornetworks/logictensornetworks

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Logic Tensor Networks

https://github.com/maximilianluc/lssvm-tnkf

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Tensor Network Kalman Filtering for Large-Scale LS-SVMs

https://github.com/motohisafukuda/pyrtni2

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Symbolically integrating tensor networks over various random tensors by the second version of Python RTNI

https://github.com/osmanmalik/tns

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Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks

https://github.com/pavliclab/aaai2022-clear2022-visual_relationship_detection-rwfn

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Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection

https://github.com/philip-bl/dctn

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Deep convolutional tensor network

https://github.com/qml-tn/pul

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Positive unlabeled learning with tensor networks

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