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datasciencecoursera

datasharing

The Leek group guide to data sharing

dbpedia

DBPedia Setup and Data Extraction in Python

deep_learning_with_tensorflow_keras

For Education, Extech,inc Casual Learning

distribution_hypothesis

自然言語処理の機械学習

dive_into_deep_learning_20211209-

To read and practice in the book of Dive_into_Deep_Learning.

dockerhandson

e-laws-lod

e-snli

eliza

Eliza, or Doctor, program was originally developed by Joseph Weizenbaum at MIT in 1964 -1966. Peter Norvig published the Common Lisp version on PAIP (1992).

entailment-with-tensorflow

Accompanying notebook for the Entailment with Tensorflow article.

epidemic-simulation

An interactive inspired by 3Blue1Brown's 'Simulating an Epidemic' video.

eraserbenchmark

A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/

evidence-inference

Data and code from our "Inferring Which Medical Treatments Work from Reports of Clinical Trials", NAACL 2019. This work concerns inferring the results reported in clinical trials from text.

examples

Grakn Example Projects and Tutorials

fever

FEVER (Fact Extraction and VERification) Annotation Platform and Baselines

fintech

frame

This folder includes XRL by Charniak, Riesbeck, McDermott, Meehan.

google-scholar-_hiromitsu_ota

This is my academic works.

gps

GPS program in PAIP modified for modern Common Lisp

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gradient-checkpointing

Make huge neural nets fit in memory

graph-pattern-learner

Evolutionary Graph Pattern Learner that learns SPARQL queries for a given set of source-target-pairs from an endpoint.

graphsage

Representation learning on large graphs using stochastic graph convolutions.

grover

Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/

handbook

Handbook for Computer Experiments

hannari_nlp_hands_on_2022

Here are codes on hands-on in hannari python.

holographic-embeddings

Code for experiments in the AAAI 2016 paper "Holographic Embeddings of Knowledge Graphs"

how-reasonable-are-common-sense-reasoning-tasks

Datasets to use the evaluation protocol for the Winograd Schema Challenge defined in the EMNLP2019 paper "How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG".

huggingface-nlp-demo