32 open source projects by dmlc

NLP made easy

XGBoost Julia Package

Symbolic Expression and Statement Module for new DSLs

MXNet Tutorial for NVidia GTC 2016.

No description or website provided.

C++ interface for mxnet

cache-friendly multithread matrix factorization

A lightweight parameter server interface

NumPy interface with mixed backend execution

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

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

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

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

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.

Notebooks for MXNet

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

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

Gluon CV Toolkit

model compiler for decision tree ensembles

Reliable Allreduce and Broadcast Interface for distributed machine learning

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

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

RFC for common in-memory tensor structure and operator interface for deep learning system

Standalone TensorBoard for visualizing in deep learning

Deprecated

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

Distributed Factorization Machines

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

Visualization tool for Graph Neural Networks

MXNet Julia Package - flexible and efficient deep learning in Julia