juliennyambal Goto Github PK

activity_recognition

artificial-neural-network

Small ANN

autoscaler

Autoscaling components for Kubernetes

bigdata

c6-data-science-lecture-backpack

C6 Data Science Lecture Backpack containing all content covered in lecture sessions

caffe

Caffe: a fast open framework for deep learning.

coms-1021-a-2019

These are use cases of linked lists

cv

My latex CV

data-strutures-python

Data Structures Using C++ from DS Malik

detecting_coins

Detecting coins using Neural networks

django_crud_example

This is a simple demonstration of using Django with REST

docker-cheat-sheet

Docker Cheat Sheet

docker-hadoop

A Docker container with a full Hadoop cluster setup with Spark and Zeppelin

docker-kube-amqp-autoscale

Dynamically scale kubernetes resources using length of an AMQP queue

docker_fun

docker_for_fun

dumb_test

dumb_test

dvc_example

fast-rcnn

Fast R-CNN

generate_fake_data_from_titanic_kaggle

get_memory_address_python

Get the memory address of a Python object.

indaba-2018

Practical Notebooks for the Deep Learning Indaba 2018

juliennyambal

Config files for my GitHub profile.

juliennyambal.github.io

multi_container_docker

parking-space-detection-poster-honours

perceptron

This is a very very simple perceptron that learns a number. The is no bias parameter.

perceptron_analytics

Basic implementation of a perceptron

powerbi-docs

presence_detection

This repo is a simulation of incoming sensor data to some basics scikit-learn estimators

proposal_presentation

Final Proposal Presentation