From 90dac85ee4b7a3649470cc792c596995fda97f31 Mon Sep 17 00:00:00 2001 From: al Date: Thu, 4 Feb 2016 23:06:47 +0700 Subject: [PATCH] Added MXNet --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index 404e8c9..6e00f98 100644 --- a/README.md +++ b/README.md @@ -235,6 +235,7 @@ For a list of free machine learning books available for download, go [here](http * [Cloudforest](https://github.com/ryanbressler/CloudForest) - Ensembles of decision trees in go/golang. * [gobrain](https://github.com/goml/gobrain) - Neural Networks written in go * [GoNN](https://github.com/fxsjy/gonn) - GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN +* [MXNet](https://github.com/dmlc/mxnet) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more. #### Data Analysis / Data Visualization @@ -385,6 +386,7 @@ For a list of free machine learning books available for download, go [here](http * [shaman](https://github.com/dambalah/shaman) - node.js library with support for both simple and multiple linear regression. * [ml.js](https://github.com/mljs/ml) - Machine learning and numerical analysis tools for Node.js and the Browser! * [Pavlov.js](https://github.com/NathanEpstein/Pavlov.js) - Reinforcement learning using Markov Decision Processes +* [MXNet](https://github.com/dmlc/mxnet) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more. #### Misc @@ -427,6 +429,7 @@ For a list of free machine learning books available for download, go [here](http * [Mocha](https://github.com/pluskid/Mocha.jl) - Deep Learning framework for Julia inspired by Caffe * [XGBoost](https://github.com/dmlc/XGBoost.jl) - eXtreme Gradient Boosting Package in Julia * [ManifoldLearning](https://github.com/wildart/ManifoldLearning.jl) - A Julia package for manifold learning and nonlinear dimensionality reduction +* [MXNet](https://github.com/dmlc/mxnet) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more. #### Natural Language Processing @@ -730,6 +733,7 @@ on MNIST digits[DEEP LEARNING] * [pgmpy](https://github.com/pgmpy/pgmpy) A python library for working with Probabilistic Graphical Models. * [DIGITS](https://github.com/NVIDIA/DIGITS) - The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models. * [Orange](http://orange.biolab.si/) - Open source data visualization and data analysis for novices and experts. +* [MXNet](https://github.com/dmlc/mxnet) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more. #### Data Analysis / Data Visualization @@ -956,6 +960,7 @@ on MNIST digits[DEEP LEARNING] * [XGBoost.R](https://github.com/tqchen/xgboost/tree/master/R-package) - R binding for eXtreme Gradient Boosting (Tree) Library * [Optunity](http://docs.optunity.net) - A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly to R. * [igraph](http://igraph.org/r/) - binding to igraph library - General purpose graph library +* [MXNet](https://github.com/dmlc/mxnet) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more. #### Data Analysis / Data Visualization