dotfiles
My dotfiles for vim, bash and others (by ljalil)
flax
Flax is a neural network library for JAX that is designed for flexibility. (by google)
Our great sponsors
| dotfiles | flax | |
|---|---|---|
| 3 | 9 | |
| 3 | 5,497 | |
| - | 4.7% | |
| 0.0 | 9.6 | |
| almost 3 years ago | 3 days ago | |
| Vim Snippet | Python | |
| - | 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.
dotfiles
Posts with mentions or reviews of dotfiles.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-12.
- Weird artifact with rofi launcher
-
[D] Why is tensorflow so hated on and pytorch is the cool kids framework?
I mainly use vim as my editor and UltiSnips to manage my snippets. By typing specific keywords then expanding them with a single click, it inserts my pre-made snippet and put me in the right places to edit what needs to be edited (e.g. Network architecture, optimizer, epochs, …). I use the same approach for basically everything that includes highly repetitive code: plotting, LaTeX templates,… Here are my snippets.
- Command for setting keyboard layout in i3 config doesn't work.
flax
Posts with mentions or reviews of flax.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-11.
-
What is the JAX/Flax equivalent of torch.nn.Parameter?
https://github.com/google/flax/discussions/919 https://flax.readthedocs.io/en/latest/_modules/flax/linen/attention.html
-
Announcing flax 0.2 - A fully featured ECS
Just as an FYI, you might be competing against another big open source project with the same name https://github.com/google/flax
-
Flax: How to use one linen module inside another for training?
I have asked the same question on the Flax discussion page on Github as well.
-
[D] Should We Be Using JAX in 2022?
What's your favorite Deep Learning API for JAX - Flax, Haiku, Elegy, something else?
-
PyTorch vs. TensorFlow in 2022
As a researcher in RL & ML in a big industry lab, I would say most of my colleagues are moving to JAX 0https://github.com/google/jax], which this article kind of ignores. JAX is XLA-accelerated NumPy, it's cool beyond just machine learning, but only provides low-level linear algebra abstractions. However you can put something like Haiku [https://github.com/deepmind/dm-haiku] or Flax [https://github.com/google/flax] on top of it and get what the cool kids are using :)
- [D] Getting Started with Deep Learning in JAX with Treex in 16 lines
-
[D] JAX learning resources?
- https://github.com/google/flax/tree/main/examples
- Why would I want to develop yet another deep learning framework?
-
[D] Why is tensorflow so hated on and pytorch is the cool kids framework?
Any thoughts on Flax?
What are some alternatives?
When comparing dotfiles and flax you can also consider the following projects:
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
dm-haiku - JAX-based neural network library
semver - Semantic Versioning Specification
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
trax - Trax — Deep Learning with Clear Code and Speed
equinox - Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
objax
jaxline
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/