mega002

mega002's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python135k1.1k16.1k27k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.4k2523.6k3.7k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16k601183k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.5k1752.8k3k

• srush/GPU-Puzzles

  Solve puzzles. Learn CUDA.

  Language:Jupyter Notebook9.9k19232856

• attardi/wikiextractor

  A tool for extracting plain text from Wikipedia dumps

  Language:Python3.8k74243967

• huggingface/knockknock

  🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

  Language:Python2.8k6442234

• facebookresearch/hiplot

  HiPlot makes understanding high dimensional data easy

  Language:TypeScript2.8k2889143

• michaelgutmann/ml-pen-and-paper-exercises

  Pen and paper exercises in machine learning

  Language:TeX1.9k313141

• dair-ai/nlp_paper_summaries

  ✍️ A carefully curated list of NLP paper summaries

  1.5k9325244

• yuezk/GlobalProtect-openconnect

  A GlobalProtect VPN client for Linux, written in Rust, based on OpenConnect and Tauri, supports SSO with MFA, Yubikey, and client certificate authentication, etc.

  Language:Rust1.4k17330154

• nikitakit/self-attentive-parser

  High-accuracy NLP parser with models for 11 languages.

  Language:Python8702098153

• EleutherAI/cookbook

  Deep learning for dummies. All the practical details and useful utilities that go into working with real models.

  Language:Python715131437

• siznax/wptools

  Wikipedia tools (for Humans): easily extract data from Wikipedia, Wikidata, and other MediaWikis

  Language:Python5742316378

• allenai/allennlp-models

  Officially supported AllenNLP models

  Language:Python527230176

• AkariAsai/learning_to_retrieve_reasoning_paths

  The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".

  Language:Python426192965

• argilla-io/spacy-wordnet

  spacy-wordnet creates annotations that easily allow the use of wordnet and wordnet domains by using the nltk wordnet interface

  Language:Python24913619

• rtmdrr/testSignificanceNLP

  Language:Python2294432

• qipeng/golden-retriever

  Authors' implementation of EMNLP-IJCNLP 2019 paper "Answering Complex Open-domain Questions Through Iterative Query Generation"

  Language:Python195101325

• KindXiaoming/BIMT

  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.

  Language:Jupyter Notebook1626027

• benbogin/spider-schema-gnn

  Author implementation of the paper "Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing"

  Language:Python14062345

• huminghao16/MTMSN

  A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning

  Language:Python8991223

• timoschick/self-debiasing

  This repository contains the code for "Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP".

  Language:Python861426

• eladsegal/strategyqa

  The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".

  Language:Python633913

• allenai/contrast-sets

  Language:Python57939

• allenai/amti

  A Mechanical Turk Interface (amti) 🤖

  Language:Python5561418

• eugeneware/suggestion

  Google suggest API

  Language:JavaScript32305

• raylin1000/drop-bert

  NABERT model for solving the DROP dataset

  Language:Python26244

• eladsegal/DROP-explorer

  A data explorer for DROP dataset

  Language:JavaScript22000

• yo-yo-yo-jbo/dangerous_dave

  Language:Python12101