krangelie

krangelie's Stars

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python37.6k3773186k

• github/copilot-docs

  Documentation for GitHub Copilot

  23.3k40802.4k

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  19.1k379271.6k

• cjhutto/vaderSentiment

  VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

  Language:Python4.5k1471201k

• zedr/clean-code-python

  :bathtub: Clean Code concepts adapted for Python

  Language:Python4.5k16514781

• zjukg/KG-LLM-Papers

  [Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

  1.5k539116

• studio-ousia/luke

  LUKE -- Language Understanding with Knowledge-based Embeddings

  Language:Jupyter Notebook70725137101

• Babelscape/rebel

  REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).

  Language:Python50547773

• ad-freiburg/qlever

  Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search. It's faster than engines like Blazegraph or Virtuoso, especially for queries involving large result sets.

  Language:C++4262040652

• allenai/kb

  KnowBert -- Knowledge Enhanced Contextual Word Representations

  Language:Python373133751

• cardiffnlp/tweeteval

  Repository for TweetEval

  Language:Jupyter Notebook358112080

• wangcunxiang/LLM-Factuality-Survey

  The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>

  3274428

• nyu-dl/bert-gen

  Language:Jupyter Notebook32010649

• zhao-tong/graph-data-augmentation-papers

  A curated list of graph data augmentation papers.

  3008022

• EdisonLeeeee/Awesome-Fair-Graph-Learning

  Paper List for Fair Graph Learning (FairGL).

  1336013

• McGill-NLP/bias-bench

  ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.

  Language:Python12642241

• nd-ball/py-irt

  Bayesian IRT models in Python

  Language:Python12463044

• eribean/girth

  An Item Response Theory Package for Python

  Language:Python10737716

• NAR-tutorial/acl2022

  Language:HTML95906

• nyu-mll/BBQ

  Repository for the Bias Benchmark for QA dataset.

  Language:Python898821

• mainlp/awesome-human-label-variation

  A curated list of awesome datasets with human label variation (un-aggregated labels) in Natural Language Processing and Computer Vision, accompanying The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation (EMNLP 2022)

  76828

• allenai/tailor

  Language:Python31654

• JianGuanTHU/CommonsenseStoryGen

  Implementation for paper "A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation"

  Language:Python24524

• allenai/unqover

  UnQovering Stereotyping Biases via Underspecified Questions - EMNLP 2020 (Findings)

  Language:Jupyter Notebook19537

• weiguowilliam/CEAT

  Language:Python16314

• iPieter/biased-rulers

  A survey of fairness in contextualized language models

  Language:Jupyter Notebook9210

• jwaladhamala/BOLD-Bias-in-open-ended-language-generation

  A dataset for measuring biases in open ended language generation

  8100

• dlab-projects/annotator_sensitivity_irt

  Language:Jupyter Notebook4601

• morioka/LAMA

  LAnguage Model Analysis

  Language:Python2002

• pruksmhc/lm-evaluation-harness

  A framework for few-shot evaluation of autoregressive language models.

  Language:Python1000