flax
XLA.jl
| flax | XLA.jl | |
|---|---|---|
| 10 | 2 | |
| 5,520 | 46 | |
| 1.9% | - | |
| 9.7 | 10.0 | |
| 5 days ago | almost 4 years ago | |
| Python | Julia | |
| Apache License 2.0 | MIT License |
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flax
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Maxtext: A simple, performant and scalable Jax LLM
Is t5x an encoder/decoder architecture?
Some more general options.
The Flax ecosystem
https://github.com/google/flax?tab=readme-ov-file
or dm-haiku
https://github.com/google-deepmind/dm-haiku
were some of the best developed communities in the Jax AI field
Perhaps the “trax” repo? https://github.com/google/trax
Some HF examples https://github.com/huggingface/transformers/tree/main/exampl...
Sadly it seems much of the work is proprietary these days, but one example could be Grok-1, if you customize the details. https://github.com/xai-org/grok-1/blob/main/run.py
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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
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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
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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.
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[D] Should We Be Using JAX in 2022?
What's your favorite Deep Learning API for JAX - Flax, Haiku, Elegy, something else?
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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
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[D] JAX learning resources?
- https://github.com/google/flax/tree/main/examples
- Why would I want to develop yet another deep learning framework?
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[D] Why is tensorflow so hated on and pytorch is the cool kids framework?
Any thoughts on Flax?
XLA.jl
- PyTorch vs. TensorFlow in 2022
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Supercharged high-resolution ocean simulation with Jax
https://github.com/FluxML/XLA.jl
When in doubt, piggybacking on (or at least interoperating with) what the large technology companies are investing in is probably savvy, sort of what the OP did.
What are some alternatives?
dm-haiku - JAX-based neural network library
MATDaemon.jl
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
pyhpc-benchmarks - A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:
trax - Trax — Deep Learning with Clear Code and Speed
Oceananigans.jl - 🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
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
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets