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Update readme with deepmind's Penzai #103

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Update readme with deepmind's Penzai #103

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Expand Up @@ -32,6 +32,7 @@ This is a curated list of awesome JAX libraries, projects, and other resources.
- [HuggingFace](https://github.com/huggingface/transformers) - Ecosystem of pretrained Transformers for a wide range of natural language tasks (Flax). <img src="https://img.shields.io/github/stars/huggingface/transformers?style=social" align="center">
- [Equinox](https://github.com/patrick-kidger/equinox) - Callable PyTrees and filtered JIT/grad transformations => neural networks in JAX. <img src="https://img.shields.io/github/stars/patrick-kidger/equinox?style=social" align="center">
- [Scenic](https://github.com/google-research/scenic) - A Jax Library for Computer Vision Research and Beyond. <img src="https://img.shields.io/github/stars/google-research/scenic?style=social" align="center">
- [Penzai](https://github.com/google-deepmind/penzai) - Prioritizes legibility, visualization, and easy editing of neural network models with composable tools and a simple mental model. <img src="https://img.shields.io/github/stars/google-deepmind/penzai?style=social" align="center">
- [Levanter](https://github.com/stanford-crfm/levanter) - Legible, Scalable, Reproducible Foundation Models with Named Tensors and JAX. <img src="https://img.shields.io/github/stars/stanford-crfm/levanter?style=social" align="center">
- [EasyLM](https://github.com/young-geng/EasyLM) - LLMs made easy: Pre-training, finetuning, evaluating and serving LLMs in JAX/Flax. <img src="https://img.shields.io/github/stars/young-geng/EasyLM?style=social" align="center">
- [NumPyro](https://github.com/pyro-ppl/numpyro) - Probabilistic programming based on the Pyro library. <img src="https://img.shields.io/github/stars/pyro-ppl/numpyro?style=social" align="center">
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