Simple examples done in MxNet
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Updated
Oct 20, 2017 - Jupyter Notebook
Simple examples done in MxNet
An unofficial implementation of FPN in gluon-cv style.
Tool to Create Custom Raspbian Images with AWS Tools (Greengrass, Neo, Kinesis, TF, MXnet)
Lookahead Optimizer: k steps forward, 1step back for MXNet
Personal scripts for quick computer vision prototypes
A python package that consists of implementations of several neural networks and methods which assist in applying deep learning along with computer vision
Face mask detector for detect mask faces on realtime processing. implementation in python and 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.
Naïve transition-based dependency parser in Gluon
An open source iOS application that uses CoreML to classify images and send the results to a custom nodeJS backend
Deep learning architectures related to video ++.
Various techniques are compared for retrieving an image from existing dataset which is similar to the test image.
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