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Name: Zhenghui Jin
Type: User
Company: Amazon AI
Location: San Jose
Name: Zhenghui Jin
Type: User
Company: Amazon AI
Location: San Jose
Auto parallelization for large-scale neural networks
Packer configuration for building a custom EKS AMI
GluonNLP Notebooks for AMLC2020
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Test suite for the PyData Array APIs standard
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
Deploying P4d in EKS utilizing GPUDirectRDMA over EFA
EFA/NCCL base AMI build Packer and CodeBuild/Pipeline files. Also base Docker build files to enable EFA/NCCL in containers
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
NVIDIA GPU metrics exporter for Prometheus leveraging DCGM
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
PyTorch elastic training
NLP made easy
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Apache MXNet Examples
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
kaldi-asr/kaldi is the official location of the Kaldi project.
MXNet conda recipes
Optimized primitives for collective multi-GPU communication
NeMo: a toolkit for conversational AI
A python client for etcd
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Pytorch Lightning Distributed Accelerators using Ray
This repo is for demonstration purposes only.
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
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.