opt_einsum
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization. (by dgasmith)
dlpack
common in-memory tensor structure (by dmlc)
opt_einsum | dlpack | |
---|---|---|
1 | 1 | |
802 | 850 | |
- | 0.7% | |
0.0 | 5.5 | |
5 months ago | about 1 month ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
opt_einsum
Posts with mentions or reviews of opt_einsum.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-11.
-
[D] What are your favorite tools to visualize/explain tensor operations?
opt_einsum: for speed
dlpack
Posts with mentions or reviews of dlpack.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Beginner projects/resources to learn about ML Compilers
For tensor layout, this is the standard for all libraries: https://github.com/dmlc/dlpack/blob/main/include/dlpack/dlpack.h
What are some alternatives?
When comparing opt_einsum and dlpack you can also consider the following projects:
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
cupy - NumPy & SciPy for GPU
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
pyinstrument - 🚴 Call stack profiler for Python. Shows you why your code is slow!
deepxde - A library for scientific machine learning and physics-informed learning
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.