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Best Practices on Recommendation Systems
A curated list of multi party computation resources and links.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A topic-centric list of HQ open datasets.
Computation of the semantic interpretability of topics produced by topic models.
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
A complete daily plan for studying to become a machine learning engineer.
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.