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Name: Ayoade J.
Type: User
Company: BitwisePathway
Bio: I am an AI programmer and IoT enthusiast.
Location: Nigeria.
Blog: bipnov.com
Name: Ayoade J.
Type: User
Company: BitwisePathway
Bio: I am an AI programmer and IoT enthusiast.
Location: Nigeria.
Blog: bipnov.com
This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.
Study of DNN, CNN, RNN and LSTM
Here is the material for a course of two-weeks I will be giving in a Master of Data Science and AI
Codes of Machine Learning & Deep Learning with lectures and books
The repository for Deep Learning Project 1 Spring 2020
The repository for Deep Learnign Project 3 Spring 2020
The repository for Deep Learning Project 4 Spring 2020
The repository for Deep Learning Project 6 Spring 2020
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
ref -- A way to deploy ML through docker k8s on production.
Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine
Deploying ML model to Azure Kubernetes Service using Python SDK
This is a simple project to elaborate how to deploy a Machine Learning model using Flask API.
In this project , machine learning ,deep learning tools and technique were used to Analyze the MNIST dataset .MNIST is a large database of handwritten digits that is commonly used for training various image processing systems.
The project aim is to analyze disaster data from Figure Eight (https://appen.com) to build a model for an API that classifies disaster messages. the data set containing real messages that were sent during disaster events. Iām creating a machine learning pipeline to categorize these events and then send the messages to an appropriate disaster relief agency. The project also include a web app where an emergency worker can input a new message and get classification results in several categories. The web app also display visualizations of the data. The project done in three phases the first one the ETL pipeline: in this phase I have done loads the messages and categories the datasets, merges the two datasets, cleans the data, and stores it in a SQLite database. In the second, ML pipeline: in this phase I have done loads the data from the SQLite database, splits the dataset into training and test sets, builds a text processing and machine learning pipeline, trains and tunes a model, outputs results on the test set and exports the final model as a pickle file. The last one, the deployment process using Flask web application.
Django Crud, Django Crud Application, Django ajax CRUD,Django Boilerplate application, Django Register, Django Login,Django fileupload, CRUD, Bootstrap, AJAX, sample App
CRUD HTML/Python/Django base application (with Bootstrap)
Simple Django CRUD App
This project shows how to create an analytical dashboard in a Django application.
This is a Django project template to help you get up and running quickly.
Complete example code for an article for mkdev
Accompanying code to Django templates and Static files tutorial
A collection of practical handson jupyter notebooks on bigdata/ml/dl/rl/cv/nlp/ds/scipy/viz-lib/various command lines
Jupyter Notebooks from posts and ML/DL pipelines I've created
Repository containing Jupyter Notebooks for the TensorFlow in Practice specialization in Coursera
Repository for Jupyter Notebooks used for LG Deep Learning Course
Docker boilerplate with php/mysql/phpmyadmin with remote debug for Visual Studio Code
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.