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0plot

Use 0plot to automatically build matplotlib plots using ChatGPT.

attention_with_linear_biases

Code for the ALiBi method for transformer language models (ICLR 2022)

awd-lstm-lm

big-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

composer

library of algorithms to speed up neural network training

dl4mt-tutorial

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

levit_alibi

LeViT + ALiBi

megatron-deepspeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

ofirpress.github.io

Build a Jekyll blog in minutes, without touching the command line.

partialshuffle

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

recurrenthighwaynetworks

Recurrent Highway Networks - Author implementation for Tensorflow and Torch

sandwich_transformer

This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer Models by Reordering their Sublayers.

self-ask

Code and data for "Measuring and Narrowing the Compositionality Gap in Language Models"

shortformer

Code for the Shortformer model, from the ACL 2021 paper by Ofir Press, Noah A. Smith and Mike Lewis.

snowballed_hallucination

sockeye

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow_with_latest_papers

Implementation of Newest RNN and Seq2Seq Features

the-gan-zoo

A list of all named GANs!

tstl_t5_bias

This is our implementation of the T5 bias for fairseq.

usingtheoutputembedding

Code for the EACL paper "Using the Output Embedding to Improve Language Models" by Ofir Press and Lior Wolf

youmaynotneedattention

Code for the Eager Translation Model from the paper You May Not Need Attention