a-to-z-resources-for-students

✅ Curated list of resources for college students

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

assessment

technical assessment

autoencoder_clustering

Sample code to demonstrate clustering directly with an autoencoder, and nothing else

awesome-github-profile-readme-templates

This repository contains best profile readme's for your reference.

basics

📚 Learn ML with clean code, simplified math and illustrative visuals.

best-readme-template

An awesome README template to jumpstart your projects!

chart-utils

chart.js

Simple HTML5 Charts using the <canvas> tag

clustering_and_autoencoders

Cluster analysis on Fashion MNIST data with and without the usage of autoencoders

cs-video-courses

List of Computer Science courses with video lectures.

data-science-complete-tutorial

For extensive instructor led learning

dba-dash

DBA Dash - SQL Server Monitoring Tool

deep-autoencoder-based-clustering-of-histopathological-images

deep-convolutional-autoencoder

This is a tutorial on creating a deep convolutional autoencoder with tensorflow.

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deploy-ml-model-with-webapp

dojo

This is a repository for immersive learning, meditation or software development.

dropdown_formfield

A Flutter package that provides a dropdown form field using a dropdown button inside a form field.

e-commerce-app

e-commerce-mobile

example-externalized-configuration

facerecognition

implementing face recognition (using Dlib and OpenCV) on a video

flta-materials

The projects and the materials that accompany the Flutter Apprentice book

flutter-design-patterns

Flutter Design Patterns mobile application

flutter.plugins

flutter_alarm_app

Clock and Alarm App with Flutter

frontend-ld

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.