opt_einsum VS dlpack

Compare opt_einsum vs dlpack and see what are their differences.

opt_einsum

⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization. (by dgasmith)
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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.

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.

dlpack

Posts with mentions or reviews of dlpack. We have used some of these posts to build our list of alternatives and similar projects.

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.