A library to conduct ranking experiments with transformers.

A simple way to demo Flask apps from your machine.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

TPU index is a package for fast similarity search over large collections of high dimension vectors on TPUs

Getting recommendations from natural language

Datasets I have created for scientific summarization, and a trained BertSum model

Pylab-style utilities for PyTorch and Matplotlib, among others.

Scripts for testing various CPU-GPU-CPU transfer techniques and libraries using Pytorch

Library for faster pinned CPU <-> GPU transfer in Pytorch

Mesh TensorFlow: Model Parallelism Made Easier

Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"

Text Summarizer implementation with Tensorflow 2.0 using conditional GAN

Medical Q&A with Deep Language Models

just finna make some shit u kno how it is

Code for my blog post on Generating Words from Embeddings

Representing research papers as vectors / latent representations.