🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
Jun 6, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
NAACL '24 (Demo) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Code I used for my YouTube videos
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 – multi-platform 3D game engine
This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.
Accelerate your training with this open-source library. Optimize performance with streamlined training and serving options with JAX. 🚀
Orbax provides common utility libraries for JAX users.
A Library for Uncertainty Quantification.
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
A cross-platform launcher for the Flax game engine.
Yet another RL library built with FLAX modules
Tevatron - A flexible toolkit for neural retrieval research and development.
Clean single-file implementation of offline RL algorithms in JAX
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
An experimental code base for system identification with Jax.
Flax Engine Documentation
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