Tangent Alternatives
Similar projects and alternatives to tangent
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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memoized_coduals
Shows that it is possible to implement reverse mode autodiff using a variation on the dual numbers called the codual numbers
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uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
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pennylane
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better tangent alternative or higher similarity.
tangent discussion
tangent reviews and mentions
Posts with mentions or reviews of tangent.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-25.
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[D] How AD is implemented in JAX/Tensorflow/Pytorch?
Thank you so much for the detail explaination! This remind me of tangent, an abandoned (?) SCT built by google couple of years ago. https://github.com/google/tangent
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Trade-Offs in Automatic Differentiation: TensorFlow, PyTorch, Jax, and Julia
No, autograd acts similarly to PyTorch in that it builds a tape that it reverses while PyTorch just comes with more optimized kernels (and kernels that act on GPUs). The AD that I was referencing was tangent (https://github.com/google/tangent). It was an interesting project but it's hard to see who the audience is. Generating Python source code makes things harder to analyze, and you cannot JIT compile the generated code unless you could JIT compile Python. So you might as well first trace to a JIT-compliable sublanguage and do the actions there, which is precisely what Jax does. In theory tangent is a bit more general, and maybe you could mix it with Numba, but then it's hard to justify. If it's more general then it's not for the standard ML community for the same reason as the Julia tools, but then it better do better than the Julia tools in the specific niche that they are targeting. Jax just makes much more sense for the people who were building it, it chose its niche very well.
Stats
Basic tangent repo stats
2
2,280
10.0
over 3 years ago
google/tangent is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of tangent is Python.
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