Adding Levanter, EasyLLM, and the Discord

Adding some important projects and a community discussion.

readme.md

@@ -32,6 +32,8 @@ 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">
+- [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">
 - [Chex](https://github.com/deepmind/chex) - Utilities to write and test reliable JAX code. <img src="https://img.shields.io/github/stars/deepmind/chex?style=social" align="center">
 - [Optax](https://github.com/deepmind/optax) - Gradient processing and optimization library. <img src="https://img.shields.io/github/stars/deepmind/optax?style=social" align="center">
@@ -264,6 +266,7 @@ This section contains papers focused on JAX (e.g. JAX-based library whitepapers,
 
 ## Community
 
+- [JaxLLM (Unofficial) Discord](https://discord.com/channels/1107832795377713302/1107832795688083561)
 - [JAX GitHub Discussions](https://github.com/google/jax/discussions)
 - [Reddit](https://www.reddit.com/r/JAX/)