emachieng Goto Github PK

followers: 65.0 following: 45.0 repos: 189.0 gists: 2.0

Name: Emily Achieng

Type: User

Company: @sanggatalk @SITstudentengineers

Bio: "Always code as if the person who ends up maintaining, testing or using it is a violent human being who knows where you live."

Location: Switzerland

Blog: https://emachieng.github.io/

Hi there 👋

🔭 I’m currently working with containers and container orcherstration platforms like Docker, Kubernetes(k8s). I also work with backend technologies like Django, Flask, Java Springboot, PHP, Node JS, Golang.
🌱 Previously I worked extensively with Data. Doing Data Science and Practical and Theoretical Machine Learning and Artificial Intelligence
👯 I’m looking to collaborate on Golang, Rust and React or anything interesting
🤔 I’m looking for help with Software Testing and Analysis
💬 Ask me about Why I Code Like a Girl
😄 Pronouns: She/Her/Hers
📫 How to reach me: [email protected]

Emily Achieng's Projects

integrated-project

e-Commerce site using Django Python Web Framework

integrated-project2

Voting Web Application with Django (Datacamp)

internship-application-fullstack

introduction-to-machine-learning

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

introtoml

Introduction to Machine Learning Tutorial

javascript_touch_api_skeleton_master

jina

Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

joyslide

A demo showing how to create a slider using ViewPager

kaggle-machine-learning-challenge

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

kubernetes-the-hard-way

Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.

machinelearning_101

Machine Learning 101 Assignment and Practice - Pytorch Udacity

mathathon-2018-simplex-chains

Organizing for a math research cooperative hackathon around "open" problems with simplices

mentorship-backend

Mentorship System is an application that matches women in tech to mentor each other, on career development, through 1:1 relations during a certain period of time. This is the backend of this system.

ml-fairness-advanced-feb2022

Learn different techniques for mitigating fairness-related harms using Fairlearn.

ml-workshop-image-recognition

The resources for our ML Workshop about Image Recognition

naivecoin_building-cryptocurrencies

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

emachieng Goto Github PK

Hi there 👋

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