ssanders-evo

ssanders-evo's Stars

• scikit-learn-contrib/imbalanced-learn

  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

  Language:Python6.9k1.3k

• microsoft/AI-For-Beginners

  12 Weeks, 24 Lessons, AI for All!

  Language:Jupyter Notebook35.5k6.1k

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX61k9.8k

• facebookresearch/nevergrad

  A Python toolbox for performing gradient-free optimization

  Language:Python4k356

• pytorch/text

  Models, data loaders and abstractions for language processing, powered by PyTorch

  Language:Python3.5k811

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.6k3.1k

• facebook/lr-with-bins

  An experimental first-stage model used for quick and efficient inference on part of the data.

  Language:Jupyter Notebook168

• intuit/metriks

  Python package of commonly used metrics for evaluating information retrieval models.

  Language:Python2525

• intuit/fawkes

  🚀🚀 Fetch, parse, categorize, summarize user reviews 🚀🚀

  Language:Python9334

• intuit/bias-detector

  Language:Python4311

• facebook/prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  Language:Python18.7k4.6k

• pulearn/pulearn

  Positive-unlabeled learning with Python.

  Language:Jupyter Notebook22133

• lyst/lightfm

  A Python implementation of LightFM, a hybrid recommendation algorithm.

  Language:Python4.8k695

• anasalzogbi/T-CTR

  Temporal Collaborative Topic Regression for recommendation. Extends Collaborative Topic Modelling (Wang and Blei) to consider the temporal aspect in recommendation.

  Language:Python113