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

Deep Learning Paper Reading Meeting-Archive

Code repository for O'Reilly book

일주일에 한번씩 출제되는 알고리즘 문제 목록입니다.

cuDF - GPU DataFrame Library

Certified Kubernetes Administrator - CKA Course

단위 테스트 [생산성과 품질을 위한 단위 테스트 원칙과 패턴]

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Positive-Unlabeled Learning for Apache Spark

The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!

System design patterns for machine learning

A complete computer science study plan to become a software engineer.

The Natural Language Decathlon: A Multitask Challenge for NLP

A collection of various deep learning architectures, models, and tips

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

State-of-the-Art Text Embeddings

SPECTER: Document-level Representation Learning using Citation-informed Transformers

WIP: Roadmap to becoming a machine learning engineer in 2020

GraphVite: A General and High-performance Graph Embedding System

강화학습의 거의 모든 것

TensorFlow's Visualization Toolkit

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

code of HetGNN

Lecture summarization with BERT

Deep Keyphrase Extraction using BERT

Budget Constrained Bidding for Display Advertising using Model-free Reinforcement Learning

The text for those who want to study reinforcement learning in Korean