ashislaha Goto Github PK

9-pebbles

9-Pebbles : Description : This is very simple game played by 2 players. You can play offline 2 players or play with Computer. Initially 9 pebbles are given to both player. Aim is to create a Straight Line either Horizontally or Vertically. When a Straight line is created, you claim a pebble from Opposition that must not belongs to a Straight line. When all pebbles are placed on desk, single movements starts. You will get 4 options "Left"/"Right"/"Top"/"Bottom" to move your pebble to create a Straight line. When you claim all pebbles from opposition then you will win the game. I added "Online" feature for simple conversation with online users. But for that, you have to login with your google account. Enjoy :-)

almodalstatus

ALModalStatus is framework used for demonstrating how to create a framework and distribute using Cocoapods.

animations

We will try to explore different iOS animations which are widely used.

ardemo

Create an AR Project with ARKit. Explored Tracking, Plane Detection, Hit Testing, Light Estimation, SCNNode Rendering etc.

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-tech-videos

:tv: A curated list of tech conferences from youtube, vimeo, etc for us to get inspired ;)

babypink

A basic template for e-commerce page where you will get a log in page, product list view, product selection category, product details page, making a product as your favourite product etc.

backgroundtaskwithnotificationmanagement

This project will help you to understand how we can schedule a background task for an iOS app. It is really useful to fetch the feed data behind when the app is not live and give immense pleasure to the user to get the latest content immediately. I am trying to solve a use-case where we can schedule multiple local notification using BGTask.

cardetection-ios

Using the .mlmodel in Xcode, that .mlmodel is converted from Keras / TensorFlow output. Please check https://github.com/ashislaha/CarDetection-Keras .

cardetection-keras

"Car Detection" is trained in Keras using Tensorflow as back-end. It's taking an image as input & gives a binary decision whether a car is present in the image or not.

chatbot-facebook-nodejs

coding-interview-university

A complete computer science study plan to become a software engineer.

concurrencyhandling

Basics of iOS concurrency with Operation, OperationQueue and DispatchGroup.

concurrencyinios

contactsapp

Contact App.

coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

craft_demo

Let's explore the basic animations based on data.

custom-progress-bar

Create a Custom Progress Bar using ShapeLayer.

digitrecognition

This is a Machine Learning project based on Convolutional Neural Network (CNN) & Dense Neural Network(DNN). I trained the model using MNIST data-set and used TensorFlow as a training back-end. Used mostly Keras ( wrapper of Tensorflow) to get the HDF5 output. Then convert the .h5 file into .mlmodel which can be used in xcode.

drawingcanvas

Let's create a Drawing Canvas for Kids and anyone who loves to draw. The project supports both iPad and iPhone with all version and all kinds of orientation.

ds-algo-in-swift

Solving DS-ALGO problems using swift language in play-ground. Problems regarding on Tree, Graph, Linked-list, Greedy-Algo, Dynamic Programming , ARC handling etc...

experimental

explore-node

In this project, I am exploring node.js to create a small server with multiple features.

explore-reactive-programming

Let's Explore Reactive Programming. (RxSwift and RxCocoa)

explore_postgres

In this sample project, explore multiple Postgres functionalities including schema and data migration.

facedirectionrecognition-using-ann

Determine FaceDirection with help of Artificial Neural Network (ANN). This is one of the good Machine Learning approach where it's demonstrated how ANN has been trained with training examples. I used back-propagation algorithm. For Image , use few image processing tools like Noise reduction (using Gaussain Filter), Edge detection (using Canny Algo) for better performance.

faceidentification_generic_approach_for_authentication

Step 1 : Register your Face : A. Take a video of few seconds of your face. B. Create samples of images from Video to train Convolutional Neural Network. C. Train the model with those images (class = 'YES') and some images that is not your face (class = 'NO') D. Convert the model output (.h5) into .mlmodel E. import it into your Xcode for Production. Step 2 : Next Time while log in A. Take image from Camera B. Give the image to CNN for calssification. C. If it's you then "Successful Log in" D. Other-wise show some pop-up like "It's not you"

fluentui-apple

UIKit and AppKit controls for building native Microsoft experiences

frameworkcreationanddistribution

Basic Concepts about iOS Frameworks : How to create framework ? How to distribute your framework ? How to update your framework after modifying the functionality ?

gocasts

Companion Repo to https://www.udemy.com/go-the-complete-developers-guide/