tun-lin

ActiveAndroid

Active record style SQLite persistence for Android

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.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

data-science-ipython-notebooks

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, AWS, and various command lines.

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.

SwifterSwift

A handy collection of more than 500 native Swift 3 extensions to boost your productivity.

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tun-lin/AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

tun-lin/awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

tun-lin/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

tun-lin/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.

tun-lin/ai_from_data_to_device

BigDataX Hands-on Workshop on end to end Machine Learning Engineering

tun-lin/amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

tun-lin/annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

tun-lin/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.

tun-lin/awesome-dash

A curated list of awesome Dash (plotly) resources

tun-lin/awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

tun-lin/awesome-mlops

A curated list of references for MLOps

tun-lin/awesome-tools

curated list of awesome tools and libraries for specific domains

tun-lin/awesome-TS-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

tun-lin/best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

tun-lin/breeze

Breeze is a numerical processing library for Scala.

tun-lin/CE7454_2018

Deep learning course CE7454, 2018

tun-lin/CE9010_2018

Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18

tun-lin/Data-Science--Cheat-Sheet

Cheat Sheets

tun-lin/deeplearning-models

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

tun-lin/examples

TensorFlow examples

tun-lin/featuretools

automated feature engineering

tun-lin/Java

All Algorithms implemented in Java

tun-lin/Mastering-spaCy

Mastering spaCy, published by Packt

tun-lin/mlops-demo

tun-lin/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.

tun-lin/production-data-science

Workflow for collaborative data science aimed at production

tun-lin/python-patterns

A collection of design patterns/idioms in Python

tun-lin/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

tun-lin/ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

tun-lin/workshop

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker