Alex Kim's starred repositories
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
DataEngineering_Projects
Data Engineering Portfolio
self-operating-computer
A framework to enable multimodal models to operate a computer.
kafka_spark_structured_streaming
Get data from API, run a scheduled script with Airflow, send data to Kafka and consume with Spark, then write to Cassandra
e2e-data-engineering
An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.
Twitter-Data-Pipeline-using-Airflow-and-AWS-S3
An end-to-end Twitter Data Pipeline that extracts data from Twitter and loads it into AWS S3.
data-engineer-roadmap
Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups
Spark-Programming-In-Python
Apache Spark 3 - Spark Programming in Python for Beginners
screenshot-to-code
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
Deep-Learning-Paper-Review-and-Practice
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
data-engineering-interview-questions
More than 2000+ Data engineer interview questions.
technical-interview-prep
These are coding solutions for problems I study while preparing for technical interviews at tech companies
PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
SearchWithOpenAI
Quick start. Index multiple documents in a repository using HuggingFace embeddings. Save them in Chroma and / or FAISS for recall. Choose OpenAI or Azure OpenAI APIs to get answers to your questions - Q&A with OpenAI and Azure OpenAI.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
recommenders
Best Practices on Recommendation Systems
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.