EasyLM by young-geng

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

created at Nov. 22, 2022, 12:55 p.m.

Python

41 +0

2,257 +9

233 +0

GitHub
levanter by stanford-crfm

Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax

created at May 24, 2022, 10:26 p.m.

Python

15 +0

454 +5

66 +0

GitHub
EasyDeL by erfanzar

Accelerate your training with this open-source library. Optimize performance with streamlined training and serving options with JAX. 🚀

created at April 9, 2023, 5:18 p.m.

Python

9 +0

158 -1

18 +1

GitHub
dynamiqs by dynamiqs

High-performance quantum systems simulation with JAX (GPU-accelerated & differentiable solvers).

created at Feb. 5, 2023, 5:04 p.m.

Python

6 +0

106 +1

11 +0

GitHub