a3616001

rehashing

fast kernel evaluation in high dimensions via hashing

EntityQuestions

EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.org/abs/2109.08535

performer

Simply Numpy implementation of the FAVOR+ attention mechanism, https://teddykoker.com/2020/11/performers/

performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

rebias

Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

SimCSE

[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

universal-triggers

Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

DensePhrases

[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624

LM-BFF

[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

google-research

Google Research

luke

LUKE -- Language Understanding with Knowledge-based Embeddings

autoprompt

AutoPrompt: Automatic Prompt Construction for Masked Language Models.

pytorch-sentiment-classification

LSTM and CNN sentiment analysis

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.

BERT-Relation-Extraction

PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

Certified-Robustness-SoK-Oldver

This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular datasets and paper categorization.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

Literature-on-DNN-Verification-and-Testing

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

wise2017

International Workshop on Intelligent Software Engineering (WISE 2017)

self-augmented-net

Source code for "Modeling Surface Appearance from a Single Photograph using Self-augmented Convolutional Neural Networks"

image-based-relighting

Implementation of Image-based Relighting using Neural Networks, with Tensorflow

batch-ppo

Efficient Batched Reinforcement Learning in TensorFlow

awesome-computer-vision

A curated list of awesome computer vision resources

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.