elegy
scenic
elegy | scenic | |
---|---|---|
5 | 5 | |
463 | 3,010 | |
0.0% | 3.9% | |
0.0 | 8.6 | |
over 1 year ago | 5 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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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
scenic
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Vid2Seq: A pretrained visual language model for describing multi-event videos
Anyone figured out how to run this against a video?
https://github.com/google-research/scenic/tree/main/scenic/p... has an example showing how to "train Vid2Seq on YouCook2" using "python -m scenic.projects.vid2seq.main", but I couldn't see the recipe for using it against a video to return a description.
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[D] SE for machine learning reaserch
There are a few libraries/frameworks that one can use and allow to reuse the same code for datasets, logging, training loop etc.... . E.g. Lightning or Scenic. Maybe you can use one of these or at least get some inspiration for your own code.
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Google Research Proposes an Artificial Intelligence (AI) Model to Utilize Vision Transformers on Videos
Quick Read: https://www.marktechpost.com/2022/11/25/google-research-proposes-an-artificial-intelligence-ai-model-to-utilize-vision-transformers-on-videos/ Paper: https://openaccess.thecvf.com/content/ICCV2021/papers/Arnab\_ViViT\_A\_Video\_Vision\_Transformer\_ICCV\_2021\_paper.pdf Github link: https://github.com/google-research/scenic/tree/main/scenic/projects/vivit
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Google Research Introduces ‘SCENIC’: An Open-Source JAX Library For Computer Vision Research
GitHub: https://github.com/google-research/scenic
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[R] Google Open-Sources SCENIC: A JAX Library for Rapid Computer Vision Model Prototyping and Cutting-Edge Research
The SCENIC code, etc., has been open-sourced on the project’s GitHub. The paper SCENIC: A JAX Library for Computer Vision Research and Beyond is on arXiv.
What are some alternatives?
dm-haiku - JAX-based neural network library
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
equinox - Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
manga-ocr - Optical character recognition for Japanese text, with the main focus being Japanese manga
flax - Flax is a neural network library for JAX that is designed for flexibility.
EasyCV - An all-in-one toolkit for computer vision
runtime - A performant and modular runtime for TensorFlow
asreview - Active learning for systematic reviews
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers
LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation