NDTensors.jl
A Julia package for n-dimensional sparse tensors. (by ITensor)
TensorOperations.jl
Julia package for tensor contractions and related operations (by Jutho)
| NDTensors.jl | TensorOperations.jl | |
|---|---|---|
| 1 | 3 | |
| 27 | 413 | |
| - | - | |
| 7.3 | 8.5 | |
| almost 3 years ago | 15 days ago | |
| Julia | Julia | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
NDTensors.jl
Posts with mentions or reviews of NDTensors.jl.
We have used some of these posts to build our list of alternatives
and similar projects.
TensorOperations.jl
Posts with mentions or reviews of TensorOperations.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-27.
- Einsum in 40 Lines of Python
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Absolutely suck at tech stuff,but Julia makes me want to learn coding. Wish me luck.
Sometimes broadcasting feels like magic to me. It just works more often than not even when I am confused with the dimensions. If you do a lot of Tensor stuff it's also worth checking out Einstein notation (https://github.com/Jutho/TensorOperations.jl)
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Programming Languages where element-wise matrix notation is possible
There are some libraries and macros for Einstein notation and related ideas, like TensorOperations.jl in Julia, einsum in numpy which someone already mentioned, and some small-scale/research languages like Diderot and Egison. In the mainstream, I guess languages generally use for loops or list comprehensions and try to recover vectorisation from that after the fact, but don’t guarantee it. Those that do make guarantees tend to use combinators that are matrixwise/function-level. I admit I pretty much categorically prefer the latter so I’m not as aware of the state of this as I’d like to be able to help.
What are some alternatives?
When comparing NDTensors.jl and TensorOperations.jl you can also consider the following projects:
julia - The Julia Programming Language
Halide - a language for fast, portable data-parallel computation
Grassmann.jl - ⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
Tullio.jl - ⅀
FiniteDiff.jl - Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
Pluto.jl - 🎈 Simple reactive notebooks for Julia
TensorFlock - A small functional tensor language with Einstein summation notation convention and shape-checking at compile-time.
ThinkJuliaFR.jl - Introduction à la programmation en Julia (livre)
TensorComprehensions - A domain specific language to express machine learning workloads.
NDTensors.jl vs julia
TensorOperations.jl vs Halide
NDTensors.jl vs Grassmann.jl
TensorOperations.jl vs Tullio.jl
NDTensors.jl vs FiniteDiff.jl
TensorOperations.jl vs Grassmann.jl
NDTensors.jl vs Pluto.jl
TensorOperations.jl vs TensorFlock
TensorOperations.jl vs ThinkJuliaFR.jl
TensorOperations.jl vs TensorComprehensions