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Name: Yijie Zhuang
Type: User
Company: @awslabs @aws
Location: Seattle, WA
Name: Yijie Zhuang
Type: User
Company: @awslabs @aws
Location: Seattle, WA
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
A curated list to learn about distributed systems
A lightweight & open source framework for personalization https://www.banditml.com
Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
A common bricks library for building scalable and portable distributed machine learning.
A clone of the popular stock-trading app Robinhood, allowing for the simulation of trades for all stocks listed on the NASDAQ and NYSE exchanges, using real-time market data
Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation(Unfinished)
A booklet on machine learning systems design with exercises
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
The friendly PIL fork (Python Imaging Library)
PRML algorithms implemented in Python
Reliable Allreduce and Broadcast Interface for distributed machine learning
A system for parallel and distributed Python that unifies the ML ecosystem.
Reinforced Recommendation toolkit build around pytorch 1.4
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
A library for training and deploying machine learning models on Amazon SageMaker
A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.
A Spark library for Amazon SageMaker.
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
A Tiny, Pure Python implementation of Gradient Boosted Trees.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
Distributed XGBoost on Ray
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.