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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://github.com/raghavian/loTeNet_pytorch

공식 코드

Tensor Networks for Medical Image Classification

https://github.com/raghavian/mltn

공식 코드

Multi-layered tensor networks for image classification

https://github.com/raghavian/strided-tenet

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Segmenting two-dimensional structures with strided tensor networks

https://github.com/rgsachin/DMTN

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Ask Me Even More: Dynamic Memory Tensor Networks (Extended Model)

https://github.com/rl-with-tns/acten_code

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Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations

https://github.com/rmphys/tnrc_paper

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A tensor network approach for chaotic time series prediction

https://github.com/sbadredd/interval-ltn

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Interval Logic Tensor Networks

https://github.com/sbadredd/logltn-experiments

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logLTN: Differentiable Fuzzy Logic in the Logarithm Space

https://github.com/sebulo/PuTT

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Coarse-To-Fine Tensor Trains for Compact Visual Representations

https://github.com/springto/Fine-Grained-Causality-Extraction-From-NL-Requirements

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Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks

https://github.com/teng10/tn-shadow-qst

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Learning topological states from randomized measurements using variational tensor network tomography

https://github.com/timqqt/MERA_Image_Classification

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Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification

https://github.com/tnbar/awesome-tensorial-neural-networks

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Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

https://github.com/tommasocarraro/ltntorch

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LTNtorch: PyTorch Implementation of Logic Tensor Networks

https://github.com/toshas/tbasis

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T-Basis: a Compact Representation for Neural Networks

https://github.com/uwjunqi/ttn-vqc

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Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing

https://github.com/vardigroup/TensorOrder

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Efficient Contraction of Large Tensor Networks for Weighted Model Counting through Graph Decompositions

https://github.com/veri-q/fairness

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Verifying Fairness in Quantum Machine Learning

https://github.com/veya2ztn/stack_of_tensor_network

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Stack operation of tensor networks

https://github.com/xwkgch/IsoTensor

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Differentiable Programming of Isometric Tensor Networks

https://gitlab.com/grains2/Faster-LTN

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Faster-LTN: a neuro-symbolic, end-to-end object detection architecture

https://gitlab.com/grains2/flvn

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Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching

https://gitlab.com/jackaraz/tn_classifier

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Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States

https://gitlab.com/jackaraz/tnqcircuits

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Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data

https://github.com/HUJI-Deep/Long-Term-Memory-of-Deep-RNNs

On the Long-Term Memory of Deep Recurrent Networks

https://github.com/RaulBz/Master_Thesis

Machine Learning by Unitary Tensor Network of Hierarchical Tree Structure

https://github.com/RaulBz/Master_Thesis_Code

Machine Learning by Unitary Tensor Network of Hierarchical Tree Structure

https://github.com/TJUIRLAB/AAAI19-TSLM

A Generalized Language Model in Tensor Space

https://github.com/amilsted/unitree

TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks

https://github.com/amilsted/unitreet

TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks

https://github.com/bsc-quantic/tn4ml/tree/master/docs/source/examples/tnad_latent

Tensor Network for Anomaly Detection in the Latent Space of Proton Collision Events at the LHC

https://github.com/cylo/uni10-lamps

Supervised Learning with Quantum-Inspired Tensor Networks

https://github.com/jemisjoky/torchmps

Supervised Learning with Quantum-Inspired Tensor Networks

https://github.com/rballester/ttrecipes

Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives

https://github.com/sbadredd/semantic-pascal-part

Logic Tensor Networks for Semantic Image Interpretation

https://github.com/sleepinyourhat/vector-entailment

Can recursive neural tensor networks learn logical reasoning?

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.