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Projects in Awesome Lists by dmlc

A curated list of projects in awesome lists by dmlc .

https://github.com/dmlc/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

distributed-systems gbdt gbm gbrt machine-learning xgboost

Last synced: 28 Oct 2024

https://github.com/dmlc/dgl

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

deep-learning graph-neural-networks

Last synced: 28 Oct 2024

https://github.com/dmlc/decord

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

video-loader

Last synced: 29 Oct 2024

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

A lightweight parameter server interface

Last synced: 09 Oct 2024

https://github.com/dmlc/minpy

NumPy interface with mixed backend execution

Last synced: 07 Aug 2024

https://github.com/dmlc/mshadow

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

Last synced: 26 Sep 2024

https://github.com/dmlc/cxxnet

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

Last synced: 26 Sep 2024

https://github.com/dmlc/dlpack

common in-memory tensor structure

deep-learning operator tensor

Last synced: 02 Aug 2024

https://github.com/dmlc/dmlc-core

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

dmlc

Last synced: 26 Oct 2024

https://github.com/dmlc/treelite

Universal model exchange and serialization format for decision tree forests

Last synced: 02 Aug 2024

https://github.com/dmlc/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.

Last synced: 26 Oct 2024

https://github.com/dmlc/parameter_server

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

Last synced: 31 Oct 2024

https://github.com/dmlc/mxnet-notebooks

Notebooks for MXNet

Last synced: 07 Aug 2024

https://github.com/dmlc/mxnet.js

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

Last synced: 04 Aug 2024

https://github.com/dmlc/MXNet.jl

MXNet Julia Package - flexible and efficient deep learning in Julia

Last synced: 03 Aug 2024

https://github.com/dmlc/tensorboard

Standalone TensorBoard for visualizing in deep learning

mxnet tensorboard visualization

Last synced: 07 Aug 2024

https://github.com/dmlc/mxnet-memonger

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

Last synced: 07 Aug 2024

https://github.com/dmlc/XGBoost.jl

XGBoost Julia Package

Last synced: 04 Aug 2024

https://github.com/dmlc/mxnet-model-gallery

Pre-trained Models of DMLC Project

Last synced: 09 Aug 2024

https://github.com/dmlc/mxnet-gtc-tutorial

MXNet Tutorial for NVidia GTC 2016.

Last synced: 07 Aug 2024