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Name: Sai Parthasarathy Miduthuri
Type: User
Company: Amazon Web Services
Name: Sai Parthasarathy Miduthuri
Type: User
Company: Amazon Web Services
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
A set of Docker images that include popular frameworks for machine learning, data science and visualization.
This support code is used for making the MXNet framework run on Amazon SageMaker.
Support code for allowing inference and serving with MXNet in SageMaker.
A library for training and deploying machine learning models on Amazon SageMaker
Docker container for running PyTorch scripts to train and host PyTorch models on SageMaker
Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
This support code is used for making the TensorFlow framework run on Amazon SageMaker.
A TensorFlow Serving solution for use in SageMaker.
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
An Open Source Machine Learning Framework for Everyone
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.