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Tensor Decomposition

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

https://github.com/justinaL/tag

CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions

https://github.com/kartikeya-badola/Wavelet-like-autoencoder-PyTorch-

Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks

https://github.com/keithyuck/Object-Tracking

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

https://github.com/lijunsun/bgcp_imputation

Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion

https://github.com/petkobogdanov/pyspady

Multi-Dictionary Tensor Decomposition

https://github.com/rballester/tntorch

Expressive power of recurrent neural networks

https://github.com/s-omranpour/Multimodal-Stock-Prediction

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data

https://github.com/sunju/pr_plain

When Are Nonconvex Problems Not Scary?

https://github.com/timgaripov/TensorNet-TF

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

https://github.com/tranhungnghiep/AnalyzeKGE

MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction

https://github.com/tranhungnghiep/AnalyzingKGEmbeddings

MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction

https://github.com/tranhungnghiep/MEI-KGE

MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction

https://github.com/twktheainur/kbc

Canonical Tensor Decomposition for Knowledge Base Completion

https://github.com/uriamorp/tcam_analysis_notebooks

Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor Factorization

https://github.com/vicontek/lrbtnn

Bayesian Tensorized Neural Networks with Automatic Rank Selection

https://github.com/vmml/tntorch

Expressive power of recurrent neural networks

https://github.com/wzhut/nonfat

Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition

https://github.com/yidilozdemir/fmriBridge

Introduction to Tensor Decompositions and their Applications in Machine Learning

https://github.com/yingusxiaous/libFPCA

Fourier PCA and Robust Tensor Decomposition

https://github.com/yuchaoli/CC

Towards Compact CNNs via Collaborative Compression

https://github.com/zhaoxile/reproducible-tensor-completion-state-of-the-art

Tensor Ring Decomposition

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