Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
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Updated
Sep 5, 2024 - Python
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
Stretching GPU performance for GEMMs and tensor contractions.
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
A machine learning library created in python by Okerew
Python Tensor Toolbox
A python library for quantum information and many-body calculations including tensor networks.
TensorHue is a Python library that allows you to visualize tensors right in your console, making understanding and debugging tensor contents easier.
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
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.
Tensor Network Learning with PyTorch
This repo contains everything about transformers and NLP.
Deep learning for spiking neural networks
Code for algorithms and experiments on the multipartite entanglement of random tensors.
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.
SIR model parameter estimation using a novel algorithm for differentiated uniformization.
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