A framework for few-shot evaluation of language models.

Code for the paper "Language Models are Unsupervised Multitask Learners"

The official Meta Llama 3 GitHub site

Inference code for Llama models

Unsupervised text tokenizer for Neural Network-based text generation.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

TensorFlow code and pre-trained models for BERT

A large-scale dataset of both raw MRI measurements and clinical MRI images.

Google Research

code for the paper "Improved Techniques for Training GANs"

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

A library for transfer learning by reusing parts of TensorFlow models.

An Open Source Machine Learning Framework for Everyone

GPT-3: Language Models are Few-Shot Learners

Code and hyperparameters for the paper "Generative Adversarial Networks"

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Implementation of Graph Convolutional Networks in TensorFlow

Scalable Feature Store