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FromSystem's Projects

angel icon angel

A Flexible and Powerful Parameter Server for large-scale machine learning

awesome-mac icon awesome-mac

 Now we have become very big, Different from the original idea. Collect premium software in various categories.

benchm-ml icon benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

d2l-pytorch icon d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deblurgan icon deblurgan

Image Deblurring using Generative Adversarial Networks

dist-keras icon dist-keras

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

falcon icon falcon

An elastic parallelism-aware parameter server architecture.

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

hibench icon hibench

HiBench is a big data benchmark suite.

horovod icon horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

javacpp icon javacpp

The missing bridge between Java and native C++

libzmq icon libzmq

ZeroMQ core engine in C++, implements ZMTP/3.1

mnn icon mnn

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

multiverso icon multiverso

Parameter server framework for distributed machine learning

once-for-all icon once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

papers-notebook icon papers-notebook

:page_facing_up: :cn: :page_with_curl: 论文阅读笔记(分布式,虚拟化,容器,机器学习)

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