nnabla VS loop_tool

Compare nnabla vs loop_tool and see what are their differences.

loop_tool

A thin, highly portable toolkit for efficiently compiling dense loop-based computation. (by facebookresearch)
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nnabla loop_tool
1 4
2,694 145
0.3% -
8.2 0.0
14 days ago over 1 year ago
Python C++
Apache License 2.0 MIT License
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.

nnabla

Posts with mentions or reviews of nnabla. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-03.

loop_tool

Posts with mentions or reviews of loop_tool. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-03.

What are some alternatives?

When comparing nnabla and loop_tool you can also consider the following projects:

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

black - The uncompromising Python code formatter

shumai - Fast Differentiable Tensor Library in JavaScript and TypeScript with Bun + Flashlight

openpilot - openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

jittor - Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]