Learning in infinite dimension with neural operators.
-
Updated
Dec 26, 2025 - Python
Learning in infinite dimension with neural operators.
TensorLy: Tensor Learning in Python.
Tensor methods in Python with TensorLy
PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
Tensor-Based Quantum Machine Learning
Easy visualization and evaluation of matrix and tensor factorization models
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
PARAFAC2 for modeling multi-sample single-cell RNAseq.
[work-in-progress] Convolutional neural network for anomaly detection on large road networks
Image classification
🚀 Build high-performance machine learning applications in pure Delphi with zero dependencies, fast native code, and advanced features for efficient computation.
Add a description, image, and links to the tensorly topic page so that developers can more easily learn about it.
To associate your repository with the tensorly topic, visit your repo's landing page and select "manage topics."