Welcome to the Tutorial for making your first Asset-Rx Edge Containers~
Repositories
jkjung-avt repositories
a CUDA accelerated litecoin mining application for NVIDIA Jetson TX2/TX1
An AWS DeepLens agent which sends a LINE notifier to me when it detects an event
DeepMind's DQN code + my tweaks (works on NVIDIA Jetson TX1)
My repository for testing how to merge/remove BatchNorm and Scale layers in trained caffe models
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
A collection of tools/scripts I use to process deep learning datasets
A Practical Introduction to Deep Learning with Caffe and Python (works on Jetson TX2)
My attempt to run DQN on Jetson TX1, which learns how to play Nintendo Famicom Mini games through reinforcement learning directly.
A tutorial on how to train a hand detector with TensorFlow Object Detection API
This repository contains the results and code for the MLPerf™ Inference v5.1 benchmark.
This repository is a collection of scripts/programs I use to set up the software development environment on my Jetson Nano, TX2, and Xavier NX.
My blog posts
A practical example of image classifier with Keras 2.x and TensorFlow backend, using the Kaggle Cats vs. Dogs dataset. By taking advantage of Keras' image data augmentation capabilities (and also random cropping), we were able to achieve 99% accuracy on the trained model with only 2,000 images in the training set.
A Keras implementation of YOLOv3 (TensorFlow backend), which I used to train an object detector for the Kaggle 2018 "Google AI Open Images - Object Detection Track" competition
Code for training Keras ImageNet (ILSVRC2012) image classification models from scratch
Caffe: a fast open framework for deep learning.
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet