vdantu Goto Github PK
Name: Vamshidhar Dantu
Type: User
Company: Amazon
Twitter: vdan123
Location: San Francisco, CA
Name: Vamshidhar Dantu
Type: User
Company: Amazon
Twitter: vdan123
Location: San Francisco, CA
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker
HTTP(S) benchmark tools, testing/debugging, & restAPI (RESTful)
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Transformer related optimization, including BERT, GPT
Compiler for Neural Network hardware accelerators
Tools for monitoring NVIDIA GPUs on Linux
gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
Mirror of Apache Ignite
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Katacoda Scenarios
Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS
Model Server for Apache MXNet is a tool for deploying neural net models for inference
Visualizer for deep learning and machine learning models
Netty project - an event-driven asynchronous network application framework
OctoGram is an unofficial messaging app that uses Telegram's API.
ONNX model format support for Apache MXNet
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
This support code is used for making machine learning frameworks (e.g. MXNet, TensorFlow) run on Amazon SageMaker.
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon 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.
Model Serving on PyTorch
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
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.