ChanwooJeong's repositories
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
autokeras
accessible AutoML for deep learning.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-fashion-ai
A repository to curate and summarise research papers related to fashion and e-commerce
awesome-flutter
An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.
awesome-ocr
Links to awesome OCR projects
awesome-sentence-embedding
A curated list of pretrained sentence(and word) embedding models
cifar-10-cnn
Play deep learning with CIFAR datasets
Data-Science--Cheat-Sheet
Cheat Sheets
Deep_learning_2019
Deep learning 2019 study
gcn
Implementation of Graph Convolutional Networks in TensorFlow
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
Interview_Question_for_Beginner
:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:
mlflow-examples
Basic MLflow examples
MT-Reading-List
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
prometheus
The Prometheus monitoring system and time series database.
prometheus-anomaly-detector
A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)
pyqtgraph
Fast data visualization and GUI tools for scientific / engineering applications
science-parse
Science Parse parses scientific papers (in PDF form) and returns them in structured form.
scisumm-corpus
Scientific Document Summarization Corpus and Annotations from the WING NUS group.
spark-standalone-cluster-on-docker
Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. :zap:
tensorflow-recommendation-wals
An end-to-end solution for website article recommendations based on Google Analytics data. Uses WALS matrix-factorization in TensorFlow, trained on Cloud ML Engine. Recommendations served with App Engine Flex and Cloud Endpoints. Orchestration is performed using Airflow on Cloud Composer. See the solution tutorials at: