A modular SQL linter and auto-formatter with support for multiple dialects and templated code.

A unified framework for machine learning with time series

I had began learning Android App development since Aug 2021. This is my first Android app project for practice development.

Perform data science on data that remains in someone else's server

A curated list of awesome self-supervised methods

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

📱 Collaborative List of Open-Source iOS Apps

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Natural Language Processing Best Practices & Examples

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

🚀 Build and manage real-life ML, AI, and data science projects with ease!

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

SwiftUI & Combine app using MovieDB API. With a custom Flux (Redux) implementation.

MVP and MVVM implementations and test code sample.

A library for developing deep generative models in a more concise, intuitive and extendable way

A concise resource repository for machine learning

Training course repository for iOS app development

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

Simple but Flexible Recommendation Engine in PyTorch

Natural Language Processing Tutorial for Deep Learning Researchers

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Stock Price Prediction using Machine Learning Techniques

メディカルAIコース オンライン講義資料

A hyperparameter optimization framework

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

Reinforcement learning resources curated