Explore @dmlc Open Source projects

Distributed (Deep) Machine Learning Community (@dmlc)

dmlc

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Registered about 9 years ago
Most used languages

C++
51.4 %

Python
27.0 %

Jupyter Notebook
8.1 %

TypeScript
2.7 %

JavaScript
2.7 %

Cuda 2.7 %

Julia
2.7 %

HTML
2.7 %

xgboost

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

dgl

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

gluon-cv

Gluon CV Toolkit

gluon-nlp

nnvm

decord

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

ps-lite

A lightweight parameter server interface

minpy

NumPy interface with mixed backend execution

mshadow

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

cxxnet

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

dmlc-core

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

dlpack

common in-memory tensor structure

treelite

Universal model exchange and serialization format for decision tree forests

minerva

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.

parameter_server

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

mxnet-notebooks

Notebooks for MXNet

Jupyter Notebook

rabit

Reliable Allreduce and Broadcast Interface for distributed machine learning

mxnet.js

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

MXNet.jl

MXNet Julia Package - flexible and efficient deep learning in Julia

tensorboard

Standalone TensorBoard for visualizing in deep learning

wormhole

mxnet-memonger

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

difacto

Distributed Factorization Machines

XGBoost.jl

XGBoost Julia Package

mxnet-model-gallery

Pre-trained Models of DMLC Project

GNNLens2

Visualization tool for Graph Neural Networks

HalideIR

Symbolic Expression and Statement Module for new DSLs

mxnet-gtc-tutorial

MXNet Tutorial for NVidia GTC 2016.

Jupyter Notebook

experimental-lda

MXNet.cpp

C++ interface for mxnet

experimental-mf

cache-friendly multithread matrix factorization

web-data

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

Jupyter Notebook

nnvm-fusion

Kernel Fusion and Runtime Compilation Based on NNVM

dmlc.github.io

cub

tl2cgen

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

mxnet-deepmark

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

mxnet-examples

xgboost-bench

drat

Drat Repository for DMLC R packages

nn-examples

gluon-nlp-notebooks

docs-redirect-for-mxnet

redirect mxnet.readthedocs.io to mxnet.io