bwegge

bwegge's Stars

• explosion/spaCy

  💫 Industrial-strength Natural Language Processing (NLP) in Python

  Language:Python29.8k5625.6k4.4k

• CSSEGISandData/COVID-19

  Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

  29.1k8663.8k18.4k

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4.1k47197622

• valentjn/vscode-ltex

  LTeX: Grammar/spell checker :mag::heavy_check_mark: for VS Code using LanguageTool with support for LaTeX :mortar_board:, Markdown :pencil:, and others

  Language:TypeScript800724627

• google-research-datasets/paws

  This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.

  Language:Python546141452

• ChunyuanLI/Optimus

  Optimus: the first large-scale pre-trained VAE language model

  Language:Python367133037

• marklagendijk/node-toogoodtogo-watcher

  Node.js cli tool for monitoring your favorite TooGoodToGo businesses. Docker image available.

  Language:JavaScript36325122116

• the-markup/location-data-industry

  This contains the data and methodology that we used for our story "There’s a Multibillion-Dollar Market for Your Phone’s Location Data ."

  711808

• florex/resume_corpus

  multi-labeled dataset of resumes

  691215

• areinhardt/tracebase

  The tracebase appliance-level power consumption data set

  362215

• YingzhenLi/VRbound

  code release for the NIPS 2016 paper

  Language:TeX252010

• gireeshkbogu/LAAD

  Uses LSTM-based autoencoders to detect abnormal resting heart rate during the coronavirus (SARS-CoV-2) infectious period using the wearables data.

  Language:Python9116

• pnbc/how-to-dp-fy-ml

  How to DP-fy ML tutorial

  Language:Jupyter Notebook62

• mozilla/rappor

  RAPPOR: Privacy-Preserving Reporting Algorithms

  Language:R3401