Code release for ConvNeXt model

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

Library for Knowledge Intensive Language Tasks

ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

A Python wrapper for the ROUGE summarization evaluation package

Contrastive Language-Image Pretraining

Reformer, the efficient Transformer, in Pytorch

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

The implementation of DeBERTa

Fast Block Sparse Matrices for Pytorch

Data augmentation for NLP

Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data

Transformer-based image captioning extension for pytorch/fairseq

A library for efficient similarity search and clustering of dense vectors.

End-to-End Object Detection with Transformers

GPT-3: Language Models are Few-Shot Learners

LibKGE - A knowledge graph embedding library for reproducible research

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

A pytorch implementations of Adversarial attacks and utils

[CVPR2020] Adversarial Latent Autoencoders

The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Strategies for Pre-training Graph Neural Networks