abarbosa94

abarbosa94's Stars

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.5k951243.7k

• microsoft/nlp-recipes

  Natural Language Processing Best Practices & Examples

  Language:Python6.4k188211917

• PAIR-code/lit

  The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

  Language:TypeScript3.5k69137357

• huggingface/awesome-papers

  Papers & presentation materials from Hugging Face's internal science day

  2k3485119

• dssg/aequitas

  Bias Auditing & Fair ML Toolkit

  Language:Python7034291118

• understandable-machine-intelligence-lab/Quantus

  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

  Language:Jupyter Notebook5691013375

• allenai/unifiedqa

  UnifiedQA: Crossing Format Boundaries With a Single QA System

  Language:Python430144044

• h2oai/h2o-meetups

  Presentations from H2O meetups & conferences by the H2O.ai team

  Language:Jupyter Notebook4092260208

• quintoandar/butterfree

  A tool for building feature stores.

  Language:Python2891961436

• kamel-usp/dpasp

  Differentiable probabilistic answer set programming

  Language:C183104

• AnttiKarlsson/finnish_ulmfit

  Pretrained ulmfit for Finnish and a classification example

  Language:Jupyter Notebook7112

• danlessa/Portuguese-ULMFiT

  The weights for the embedding layer of a Portuguese ULMFiT Model trained on Wikipedia

  4201

• stevefox/meta-docker

  This is a docker image that builds this the MeTA NLP C++ library: https://meta-toolkit.org. This image uses the version of MeTA used by the Coursera Course, Text Mining and Analysis (https://www.coursera.org/learn/text-mining)

  3210