A purely functional programming language with first class types

A purely functional programming language with first class types

Support for TypeScript's path mapping in Vite

Reversibly transform unserializable values into serializable ones. Includes Redux middleware.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

A Python package to assess and improve fairness of machine learning models.

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

A web framework for Rust.

Merlin Models is a collection of deep learning recommender system model reference implementations

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Used Hypothesis Testing to gather analytical insights about Manhattan Yelp and Inspection Grade data. Additionally, Used Machine Learning Classification techniques such as Logistic Regression, Deci…

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommen…

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair…

A playbook for systematically maximizing the performance of deep learning models.

PySpark test helper methods with beautiful error messages

Tools for diffing and merging of Jupyter notebooks.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

Solutions to Recommender Systems competitions

The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX

NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference i…

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

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

Google Chrome Extension to rearrange your tabs using customizable keyboard shortcuts

Machine Learning algorithm implementations from scratch.

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.