jax-resnet
elegy
jax-resnet | elegy | |
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1 | 5 | |
98 | 463 | |
- | 0.0% | |
0.0 | 0.0 | |
almost 2 years ago | over 1 year ago | |
Python | Python | |
MIT License | MIT License |
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jax-resnet
elegy
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is Elegy framework for JAX abandoned?
I wonder if https://github.com/poets-ai/elegy is still an active project or dead because it hasn't had a commit in almost a year. Would be too bad if abandoned because I like it.
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[D] Any less-boilerplate framework for Jax/Flax/Haiku?
Elegy might be worth a look.
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PyTorch vs. TensorFlow in Academic Papers
JAX is really cool, but still somewhat immature. I would love to see it taking more ground and improving wrt e.g. integration with tensorboard and getting all the goodies we have in tensorflow. If you are looking for a higher level framework, I would recommend elegy [0] which is very close to the keras API.
[0] https://github.com/poets-ai/elegy
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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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Best sources to learn JAX?
For a Module library checkout Flax or Haiku, they are well maintained. For a Trainer interface like Keras / Pytorch Lightning checkout Elegy: https://github.com/poets-ai/elegy
What are some alternatives?
dm-haiku - JAX-based neural network library
flaxmodels - Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
equinox - Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
pax - A stateful pytree library for training neural networks.
flax - Flax is a neural network library for JAX that is designed for flexibility.
faceswap - Deepfakes Software For All
scenic - Scenic: A Jax Library for Computer Vision Research and Beyond
HJxB - Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)
runtime - A performant and modular runtime for TensorFlow
DeepFake-Detection - Towards deepfake detection that actually works
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers