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ecir2017-fusion

Design Patterns for Fusion-Based Object Retrieval

elastic_transformers

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

elasticsearch

Open Source, Distributed, RESTful Search Engine

elasticsearch-learning-to-rank

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

electra_pytorch

Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)

embeddingforir

try embeddings in information retrieval

emmental

A deep learning framework for building multimodal multi-task learning systems.

emnlp2017-relation-extraction

Context-Aware Representations for Knowledge Base Relation Extraction

end2end_neural_el

english2cypher

A model to transform english into Cypher queries, based off the CLEVR-graph dataset

entity-linking-query

Query Expansion module using Entity Linking via Knowledge Bases

entity2rec

entity2rec generates item recommendation using property-specific knowledge graph embeddings

entity2vec

Semantic embeddings of entities

entitylinking_recenttrend

Recent trends of Entity Linking, Disambiguation, and Representation.

ernie

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

evaluation-framework

It is an evaluation framework for evaluating and comparing graph embedding techniques

event-driven-stock-prediction-using-deep-learning

A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements

excalibur

A web interface to extract tabular data from PDFs

expert_finding

Python package for the paper "New datasets and a benchmark of document network embedding methods for scientific expert finding" (https://arxiv.org/pdf/2004.03621.pdf)

explain-bert-qa

Code for the CIKM 2019 Paper: How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations

facets

Visualizations for machine learning datasets

fact-extractor

Fact Extraction from Wikipedia Text

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

faiss

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

falcon2.0

Falcon 2.0 is a joint entity and relation linking tool over Wikidata.

fastbook

Draft of the fastai book

fdrnn

Deep Direct Reinforcement Learning for Financial Signal Representation and Trading

fewshotpapers

This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.

fgec

Updated code for abhipec/fnet

fiber

Distributed Computing for AI Made Simple