Vijay Gill's repositories
GillSoft.XmlComparer
Library for Comparing and Patching (work in progress) XML files
angular-canvas-area-draw
Simple library to draw polygons over image with canvas
Cake.Parallel
Run your cake tasks in parallel
docker-dns
Simple, self-contained, automatic Docker DNS
docker-duckdns
🦆 Automatic Duck DNS IP Address Updates in Docker
docker-letsencrypt
đź“ś Automatic SSL Certificate Generation for Duck DNS Domains
docker-makemkv
Docker container for MakeMKV
docker-openvpn
đź”’ OpenVPN server in a Docker container complete with an EasyRSA PKI CA
docker-openvpn-monitor
The trusted multi-platform web-based OpenVPN Monitor docker image.
FCOS-tensorflow
FCOS: Fully Convolutional One-Stage Object Detection.
ffmpeg-tensorflow
Dockerfile for FFMpeg with Libtensorflow
FluentScheduler
Automated job scheduler with fluent interface for the .NET platform.
Human-Image-Segmentation-with-DeepLabV3Plus-in-TensorFlow
DeepLabV3+ with squeeze and excitation network for human image segmentation in TensorFlow 2.5.0
image-segmentation
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
maskrcnn-from-scratch
Building a maskrcnn from scratch using tensorflow and keras
Object-Detection-Tensorflow
Object Detection API Tensorflow
openvpn-monitor-ip2location
its same as orginl repo but added ip2location and few other options
regex-storm
Regex Storm, online .NET-based regular expressions tester and resource.
retinanet-tensorflow2.x
TensorFlow2.x implementation of RetinaNet
rockpi_sata
Scripts for the Rockpi Quad Sata controller using overlays for Raspberry Pi 4
Semantic-Image-Segmentation
Applying the 100 Layer Tiramisu on the Camvid Dataset
Surgery-Robot-Detection-Segmentation
Object detection and segmentation for a surgery robot using Mask-RCNN on Python 3, Keras, and TensorFlow..
tensorflow_fcos
FCOS: Fully Convolutional One-Stage Object Detection
the-gan-zoo
A list of all named GANs!