Derick Greyling's repositories
3D-Unet--Tensorflow
3D Unet for Isointense Infant Brain Image Segmentation
Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
celery-director
Simple and rapid framework to build workflows with Celery
covid19_dashboard
Create your own dashboard web app with free resources
docker-mapproxy
A docker recipe for http://mapproxy.org/
Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
GeoHealthCheck
Service Status and QoS Checker for OGC Web Services
geoserver-rest
Python library for management for geospatial data in GeoServer. The geoserver-rest docs is available here,
HRNet-Semantic-Segmentation
High-resolution representation learning (HRNets) for Semantic Segmentation
J.A.R.V.I.S
python powered Intelligent System
lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
libact
Pool-based active learning in Python
localtileserver
🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium. Also a Flask application under the hood for use in lightweight web apps with CesiumJS
machine_learning_examples
A collection of machine learning examples and tutorials.
Multi-Scale-Attention
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
ObstructionRemoval
[CVPR 2020] Learning to See Through Obstructions
pydis
A redis clone in Python 3 to disprove some falsehoods about performance.
Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
schedule
Python job scheduling for humans.
screenpoint
Project an image centroid to another image using OpenCV
vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.