kurhula Goto Github PK
Name: Musa Baloyi
Type: User
Company: Madyondza Consulting
Location: Johannesburg
Musa Baloyi's Projects
kaggle-project
U.S. Census Return Rate Challenge
kaggle-quora-dup
Solution to Kaggle's Quora Duplicate Question Detection Competition
kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
katacoda-notebooks
O'Reilly Katacoda
katacoda-scenarios
Katacoda Scenarios
kcli
Wrapper around libvirt/aws/gcp/kubevirt/openstack/ovirt/vsphere
keras-io
Keras documentation, hosted live at keras.io
keras_rmac_plus
Keras implementation of R-MAC+ descriptors
khetha-django
Khetha on Django. Project board: https://trello.com/b/6ImY0M9f/project-khetha-dev
kitematic
Visual Docker Container Management on Mac & Windows
kneel
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
knockout
Knockout makes it easier to create rich, responsive UIs with JavaScript
kotlin
The Kotlin Programming Language
kubeflow
Machine Learning Toolkit for Kubernetes
kubernetes-engine-samples
Sample applications for Google Kubernetes Engine (GKE)
kubernetes-troubleshooting-oreilly
Follow along for Kubernetes Troubleshooting course
kubernetes-up-and-running-examples
Example code and files from "Kubernetes: Up and Running"
kubevirt
Kubernetes Virtualization API and runtime in order to define and manage virtual machines.
kubevirt-ansible
Set of Ansible roles & playbooks for KubeVirt deployment
kubevirt-tutorial
Demo that guides users through an end to end KubeVirt experience.
kubevirtci
Contains cluster definitions and client tools to quickly spin up and destroy ephemeral and scalable k8s and ocp clusters for testing
kurhula.github.io
Blog
kustomize
Customization of kubernetes YAML configurations
labs
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
landmark-recognition
Google Landmark Recognition Challenge
landmark-recognition-1
Landmarks classification models built with TensorFlow Keras
landmark-recognition-2
Landmark recognition algorithm to predict landmark labels directly from image pixels
landmark-recognition-challenge
Source code used for the google landmark recognition challenge on kaggle [19th place]
landmark2019-1st-and-3rd-place-solution
The 1st Place Solution of the Google Landmark 2019 Retrieval Challenge and the 3rd Place Solution of the Recognition Challenge.
langchain
🦜🔗 Build context-aware reasoning applications
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