first repository

mxnet-tutorial reorganised by myself.

learning notes and summary from cs231n and @mli gluon tutorial

Gomoku implemention of reinforcement learning by AlphaZero methods using mxnet cpp-package.

A python package that consists of implementations of several neural networks and methods which assist in applying deep learning along with computer vision

Lua language binding for MXNet

State-of-the-art 2D and 3D Face Analysis Project

This repo shows how to implement a training on CIFAR10 dataset with different Deep Learning frameworks: FastAI, JAX, Keras, MXNet, PaddlePaddle, Pytorch and Pytorch-lightning. An article was written to compare the ease of implementation (user friendly coding, ease of finding information online, etc.), time per epoch, memory and GPU usage, etc.

Character Embeddings Recurrent Neural Network Text Generation Models

Jupyter Notebook Code for MXNet Deep Learning Framework Study

Deep Learning projects using Apache MXNet. Covers basics and advanced concepts of deep learning using a series of IPython notebooks.

punakawan consists 4 figures, I use a simple system that can classify them, i use mxnet using R to get the classification result

Tools for ML/MXNet on Kubernetes. Rework of original tf-operator to support MXNet framework.

Generate image features using resnetv2_18 from MXNet GluonCV

Implementation of Attention models

Automated approach from feature engineering to modeling on the Kaggle Home Credit Default Risk competition dataset

A deep learning model to detect passion fruit diseases, deployed to android

Script for MNIST prediction using MXNET and H2o in R.

MXNET Presentation & Demo