Tun Lin's repositories
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
ai_from_data_to_device
BigDataX Hands-on Workshop on end to end Machine Learning Engineering
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
awesome-aws
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
awesome-dash
A curated list of awesome Dash (plotly) resources
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
awesome-mlops
A curated list of references for MLOps
awesome-tools
curated list of awesome tools and libraries for specific domains
awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
CE7454_2018
Deep learning course CE7454, 2018
CE9010_2018
Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18
Data-Science--Cheat-Sheet
Cheat Sheets
deeplearning-models
A collection of various deep learning architectures, models, and tips
featuretools
automated feature engineering
Mastering-spaCy
Mastering spaCy, published by Packt
Practice-SQL-with-SQLite-and-Jupyter-Notebook
Practice basic SQL syntax with Jupyter notebook. SQL is particularly useful in handling structured data where there are relations between different entities/variables of the data. SQL is a very important tool for data scientists to have in their repertoire.
production-data-science
Workflow for collaborative data science aimed at production
python-patterns
A collection of design patterns/idioms in Python
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition