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100-nlp-papers

100 Must-Read NLP Papers

ake-datasets

Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.

al-cpl-dataset

Dataset for active learning for concept prerequisite learning

automatickeyphraseextraction

Data for Automatic Keyphrase Extraction Task

awesome-gpt4

A curated list of prompts, tools, and resources regarding the GPT-4 language model.

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-nlprojects

List of projects related to Natural Language Processing (NLP) that make a geek smile for they exist

bert-kpe

bert-sentiment

bert-sentiment-pytorch

IMDB50K review sentiment analysis using bert in pytorch

cmeb

"Using prerequisites to extract concept maps from textbooks", cikm 2016

concept-prerequisite-papers

List of papers on concept prerequisite learning.

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

cpr-gat

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

d2l-pytorch-sagemaker

Automatically Generated Notebook for Sagemaker

deeplearning-models

A collection of various deep learning architectures, models, and tips

eaai17-cpr-recover

Data used in "Recovering Concept Prerequisite Relations from University Course Dependencies" (Liang et al. 2017)

gnn4nlp-papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

lecturebank

LectureBank Dataset

llmspracticalguide

made-with-ml

Learn how to responsibly develop, deploy and maintain production machine learning applications.

nmt-english-to-piglatin

English to pig-latin machine translation using sequence to sequence mechanism

node2vec

papers-on-concept-prerequisite-learning

"Aristotle, and most of the other Greek philosophers, on the other hand, did not like the idea of a creation because it smacked too much of divine intervention."― Stephen Hawking

prereq-iaai-19

Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)

prettyplots

Design your own matplotlib stylefile interactively

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!