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Computer Science, Korea Univ.
- Seoul, Korea
Starred repositories
Resource Allocation for Dynamic Demands
Pluggable in-process caching engine to build and scale high performance services
An integrated power, area, and timing modeling framework for multicore and manycore architectures
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
This is a repository of public data sources for Recommender Systems (RS).
Neural Graph Collaborative Filtering, SIGIR2019
FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
Neural Collaborative Filtering
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Curated coding interview preparation materials for busy software engineers
Everything you need to know to get the job.
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,โฆ
๐ Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.
๐ถ๐ป ์ ์ ๊ฐ๋ฐ์ ์ ๊ณต ์ง์ & ๊ธฐ์ ๋ฉด์ ๋ฐฑ๊ณผ์ฌ์ ๐
๐ฆ ๐ง Technical-Interview guidelines written for those who started studying programming. I wish you all the best. ๐พ
VIP cheatsheets for Stanford's CS 230 Deep Learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
A complete daily plan for studying to become a machine learning engineer.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
๐๋งค์ผ๋งค์ผ ๊ณต๋ถํ ๋ด์ฉ์ ์ ๋ฆฌํ๋ ๊ณณ๐
Multiple samples showing the best practices in views-widgets on Android.
Algorithms and data structures in kotlin
Algorithms and data structures in Kotlin.
๐ These are android sample projects which are written in Kotlin. It covers video streaming, mp3 player, sqlite, location services, custom camera, o-notifications, simple compass etc.