Popular GitHub Repositories for Leetcode Pyspark

Simple and Distributed Machine Learning

State of the Art Natural Language Processing

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Hopsworks - Data-Intensive AI platform with a Feature Store

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

PySpark + Scikit-learn = Sparkit-learn

?机器学习/深度学习/Python/大模型/多模态/LLM/deeplearning/Python/Algorithm interview/NLP Tutorial

Build reliable AI and agentic applications with DataFrames

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL

This is the LeetCode Challenge, a collaborative project by @caio-andres, @matheusaudibert, and @enzowxl. Fork this project and join us!

Distributed scikit-learn meta-estimators in PySpark

This repo is meant to serve as a detailed guide for Machine Learning/AI interviews.

MorphL Community Edition uses big data and machine learning to predict user behaviors in digital products and services with the end goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization

Isolation Forest on Spark

Toolkit for Apache Spark ML for Feature clean-up, feature Importance calculation suite, Information Gain selection, Distributed SMOTE, Model selection and training, Hyper parameter optimization and selection, Model interprability.

This project aims to build an enterprise-grade offline data warehouse solution based on e-commerce platform order data.

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics