Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
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Updated
Aug 1, 2024 - Python
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
A python library for quantum information and many-body calculations including tensor networks.
Tensor Network Learning with PyTorch
Stretching GPU performance for GEMMs and tensor contractions.
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN
TensorHue is a Python library that allows you to visualize tensors right in your console, making understanding and debugging tensor contents easier.
Deep learning for spiking neural networks
Python Tensor Toolbox
🤝 Trade any tensors over the network
Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.
Easy visualization and evaluation of matrix and tensor factorization models
CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.
variPEPS -- Versatile tensor network library for variational ground state simulations in two spatial dimensions
AugStatic - A Light-Weight Image Augmentation Library
Combine PyTorch tensors into a single structure.
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