tntorch
Tensor Network Learning with PyTorch (by rballester)
NTNk.jl
Unsupervised Machine Learning: Nonnegative Tensor Networks + k-means clustering (by TensorDecompositions)
tntorch | NTNk.jl | |
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1 | 1 | |
271 | 8 | |
- | - | |
1.6 | 1.8 | |
about 1 year ago | almost 3 years ago | |
Python | Julia | |
GNU Lesser General Public License v3.0 only | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tntorch
Posts with mentions or reviews of tntorch.
We have used some of these posts to build our list of alternatives
and similar projects.
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ETH Zurich AI Researchers Introduce ‘tntorch’: a PyTorch-Powered Tensor Learning Python Library That Supports Multiple Decompositions Under a Unified Interface
Continue reading | Checkout the paper and github
NTNk.jl
Posts with mentions or reviews of NTNk.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-15.
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Tensor decompositions in Julia?
From my dear friend google: TensorToolbox.jl. How is that? There's also NTNk.jl. I haven't used either of these.
What are some alternatives?
When comparing tntorch and NTNk.jl you can also consider the following projects:
ITensors.jl - A Julia library for efficient tensor computations and tensor network calculations
tsfresh - Automatic extraction of relevant features from time series:
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
norse - Deep learning for spiking neural networks
TensorToolbox.jl - Julia package for tensors as multidimensional arrays, with functionalty within Tucker format, Kruskal (CP) format, Hierarchical Tucker format and Tensor Train format.
torchtyping - Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.