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Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.
:memo: An awesome Data Science repository to learn and apply for real world problems.
The open source version of the AWS Cloud9 User Guide. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.
The open source version of the AWS CloudFormation User Guide
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.
AWS EC2 Container Service Hands-on Workshop
Spring Boot
Learn Amazon SageMaker
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Python Data Science Handbook: full text in Jupyter Notebooks
Here be automations
Sentiment analysis with SageMaker and MXNet
Statistical Data Analysis in Python
Train a state-of-the-art yolov3 object detector from scratch!
Collection of scripts corresponding to LucidProgramming YouTube tutorials
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.