From 4f12e4609d7633f047e8d606838e02417b65fa90 Mon Sep 17 00:00:00 2001 From: Nicholas Vadivelu Date: Mon, 29 Apr 2024 23:13:14 -0400 Subject: [PATCH] Update readme.md --- readme.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/readme.md b/readme.md index 1f73c16..d1d0b94 100644 --- a/readme.md +++ b/readme.md @@ -115,8 +115,7 @@ This section contains libraries that are well-made and useful, but have not nece - [QDax](https://github.com/adaptive-intelligent-robotics/QDax) - Quality Diversity optimization in Jax. - [JAX Toolbox](https://github.com/NVIDIA/JAX-Toolbox) - Nightly CI and optimized examples for JAX on NVIDIA GPUs using libraries such as T5x, Paxml, and Transformer Engine. - [Pgx](http://github.com/sotetsuk/pgx) - Vectorized board game environments for RL with an AlphaZero example. -- [EasyDeL](https://github.com/erfanzar/EasyDeL) - EasyDeL 🔮 is an OpenSource Library to make your training faster and more Optimized With cool Options for training and - serving (Llama, MPT, Mixtral, Falcon ...) in JAX +- [EasyDeL](https://github.com/erfanzar/EasyDeL) - EasyDeL 🔮 is an OpenSource Library to make your training faster and more Optimized With cool Options for training and serving (Llama, MPT, Mixtral, Falcon, etc) in JAX - [XLB](https://github.com/Autodesk/XLB) - A Differentiable Massively Parallel Lattice Boltzmann Library in Python for Physics-Based Machine Learning. - [dynamiqs](https://github.com/dynamiqs/dynamiqs) - High-performance and differentiable simulations of quantum systems with JAX.