FsLibLog
FsLibLog is a single file you can copy paste or add through Paket Github dependencies to provide your F# library with a logging abstraction. This is a port of the C# LibLog. (by TheAngryByrd)
equinox
Callable PyTrees and filtered JIT/grad transformations => neural networks in JAX. (by patrick-kidger)
Our great sponsors
| FsLibLog | equinox | |
|---|---|---|
| 1 | 12 | |
| 44 | 540 | |
| - | - | |
| 5.9 | 9.4 | |
| 26 days ago | 9 days ago | |
| F# | 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.
FsLibLog
Posts with mentions or reviews of FsLibLog.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-10.
equinox
Posts with mentions or reviews of equinox.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-14.
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[D] What JAX NN library to use?
Equinox! I am of course hugely biased, I am the author of Equinox...
See CONTRIBUTING.md for details on getting started, and how to build the documentation locally.
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[D] What useful personal projects have you made?
A neural network library for JAX: Equinox. IMO the simplest/most-generic one out there.
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[D] Should We Be Using JAX in 2022?
Author of Equinox here. I'm glad to see it being mentioned in the wild!
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[D] Current State of JAX vs Pytorch?
There's a good chance that you're interested in building neural networks. In this case be aware that JAX is roughly equivalent to just the torch namespace, and that you can/should choose from various external libraries for building neural networks. The two most popular are Flax and Haiku. Personally I use Equinox which is designed to be a lot more powerful, easier to use, more general etc. (Disclaimer: I am the author of Equinox -- it's something I wrote when I found that Flax/Haiku simply weren't suitable for my use cases.)
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[D] Ideal deep learning library
On the assumption that you're doing something neural network related: have a look at the examples section for one of its deep learning libraries. (e.g. this example trains an RNN on a toy classification problem)
So I made Equinox! It has a deliberately PyTorch-like feel, keeps init/call separate, and (unlike Haiku etc.) works with native JAX transformations like jit etc. out-of-the-box.
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[D] Are you using PyTorch or TensorFlow going into 2022?
I just started using equinox for neural networks in jax. It's really simple. I'd highly recommend you take a look!
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[D] Has anyone tried Deepmind haiku?
For a JAX neural network library, I'd recommend trying Equinox.
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[P] Treex: A Pytree-based Module system for Deep Learning in JAX
Equinox author here. Just chiming in on this comment:
What are some alternatives?
When comparing FsLibLog and equinox you can also consider the following projects:
treex - A Pytree Module system for Deep Learning in JAX
flax - Flax is a neural network library for JAX that is designed for flexibility.
fsharp - Native support for destructuring F# types when logging to Serilog.
TF_JAX_tutorials - All about the fundamental blocks of TF and JAX!
Roslyn - The Roslyn .NET compiler provides C# and Visual Basic languages with rich code analysis APIs.
Giraffe - A native functional ASP.NET Core web framework for F# developers.
the-ray-tracer-challenge-fsharp - F# implementations of the ray tracer found in The Ray Tracer Challenge book by Jamis Buck.
torchtyping - Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.