Distributed (Deep) Machine Learning Community의 공개 GitHub 발자국

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, Dask, Flink and DataFlow

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Gluon CV Toolkit

NLP made easy

An efficient video loader for deep learning with smart shuffling that's super easy to digest

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A lightweight parameter server interface

common in-memory tensor structure

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

NumPy interface with mixed backend execution

move forward to https://github.com/dmlc/mxnet

A common bricks library for building scalable and portable distributed machine learning.

Universal model exchange and serialization format for decision tree forests

Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.

moved to https://github.com/dmlc/ps-lite

Notebooks for MXNet

Reliable Allreduce and Broadcast Interface for distributed machine learning

MXNetJS: Javascript Package for Deep Learning in Browser (without server)

Standalone TensorBoard for visualizing in deep learning

MXNet Julia Package - flexible and efficient deep learning in Julia

Deprecated

Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets

XGBoost Julia Package

Distributed Factorization Machines

Pre-trained Models of DMLC Project

Visualization tool for Graph Neural Networks

Symbolic Expression and Statement Module for new DSLs

MXNet Tutorial for NVidia GTC 2016.

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Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on MXNet, Theano or TensorFlow.

C++ interface for mxnet

cache-friendly multithread matrix factorization

The repo to host all the web data including images for documents in dmlc projects.

Kernel Fusion and Runtime Compilation Based on NNVM

TL2cgen (TreeLite 2 C GENerator) is a model compiler for decision tree models

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Host custom actions; keep track of manual approval requests for CI jobs.

Caffe: a fast open framework for deep learning.

Benchmark speed and other issues internally, before push to deep-mark

MXNet Example

Machine learning, in numpy

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Drat Repository for DMLC R packages

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ccache – a fast compiler cache

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Optimized primitives for collective multi-GPU communication

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redirect mxnet.readthedocs.io to mxnet.io

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