Distributed (Deep) Machine Learning Community
A Community of Awesome Distributed Machine Learning Projects
Pinned repositories
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
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, Flink and DataFlow
Pure NumPy practice with third-party operator integration
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
Intermediate Computational Graph Representation for Deep Learning Systems
The repo to host all the web data including images for documents in dmlc projects.
the homepage http://dmlc.ml
A common bricks library for building scalable and portable distributed machine learning.
Drat Repository for DMLC R packages
MXNet Julia Package - flexible and efficient deep learning in Julia
Pre-trained Models of DMLC Project
CPP wrapper for MXNet interface
redirect mxnet.readthedocs.io to mxnet.io
Reliable Allreduce and Broadcast Interface for distributed machine learning
Kernel Fusion and Runtime Compilation Based on NNVM
A lightweight parameter server interface
caffe
Forked from BVLC/caffeCaffe: a fast open framework for deep learning.
Benchmark speed and other issues internally, before push to deep-mark
XGBoost Julia Package
cache-friendly multithread matrix factorization
Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets
MXNet Tutorial for NVidia GTC 2016.
MXNet Example
Distributed Factorization Machines
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.
Deprecated
MXNetJS: Javascript Package for Deep Learning in Browser (without server)
