Learning in infinite dimension with neural operators.
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Oct 17, 2026 - Python
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Learning in infinite dimension with neural operators.
pytorch partial-differential-equations tensorly tensor-methods fno neural-operator neural-operators fourier-neural-operator
TensorLy: Tensor Learning in Python.
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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
quantum quantum-computing tensorly quantum-machine-learning tensor-networks quantum-circuit-simulator tensorly-quantum
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
cnn pytorch bayesopt convolutional-neural-networks bayesian-optimization tensorly tucker model-compression cnn-compression network-acceleration rank-selection model-acceleration neural-network-compression gpyopt low-rank network-compression-acceleration
[work-in-progress] Convolutional neural network for anomaly detection on large road networks
python tensorflow convolutional-neural-networks traffic-data anomalydetection gps-data tensorly anomaly-detection cnn-classifier anomaly-detection-models
Image classification
🚀 Build high-performance machine learning applications in pure Delphi with zero dependencies, fast native code, and advanced features for efficient computation.
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