🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
May 25, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Deep Learning examples using the Jax ecosystem of libraries
Orbax provides common utility libraries for JAX users.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Accelerate your training with this open-source library. Optimize performance with streamlined training and serving options with JAX. 🚀
Flax Engine – multi-platform 3D game engine
Tevatron - A flexible toolkit for neural retrieval research and development.
Original Implementation of Prompt Tuning from Lester, et al, 2021
This is a JAX/Flax-based transformer language model trained on a Japanese dataset. It is based on the official Flax example code (lm1b).
Flax Engine Documentation compiled for static hosting
Flax Engine Documentation
Collection of example projects for Flax Engine
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
dataset, train, inference
Jax, Flax, examples (ImageClassification, SemanticSegmentation, and more...)
An experimental code base for system identification with Jax.
Yet another RL library built with FLAX modules
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