Anik Sen's repositories
Laravel-VueJS-VueRouter-Example
Laracast VueRouter Example
Angular2-AdminLTE
An Angular 4 version of the AdminLTE theme
CNN_GRU
Using a CNN with Grated recurrent units and Time distributed wrappers over MNIST data
Deep-Learning-A-Z-Udemy
Contains the programming exercises and assignments for Deep Learning A-Z course on Udemy. Includes Artificial Neural Network, Convolutional Neural Network, Recurrent Neural Networks, Self Organizing Maps, Auto Encoders and Boltzmann Machines
deep-learning-in-computer-vision
Course work from Deep Learning in Computer Vision from National Research University Higher School of Economics
L5-Pos
Laravel based point of sale system
laratrust
Handle roles and permissions in your Laravel application
laravel-ng2-vue
Source Code of my "Laravel + Angular 2 / Vue.js" Series on YouTube
laravel-page-speed
Package to optimize your site automatically which results on a 35%+ optimization
laravel-passport-auth
Server side API authentication using Laravel Passport
laravel-vue-pos
Laravel and Vue point of sales system written for my blog.
laravel5.7-vue-cli3-boilerplate
Boilerplate / Starter kit. Laravel 5.7, Vue CLI 3 — Authentication with Email Verification. REST API.
Monthly
A jQuery based responsive calendar
ng2-select
Angular2 based replacement for select boxes
passport_auth_client
Laravel Passport 5.x & VueJS 2.x Authentication (Client Side Code) Example
passport_auth_server
Laravel Passport 5.x & VueJS 2.x Authentication (Server Side Code) Example
SB-Admin-BS4-Angular-5
Simple Dashboard Admin App built using Angular 5 and Bootstrap 4
VideoNet
CNN+RNN video classification
Volume-Control-using-Hand-Gestures-Recognition
Gesture recognition helps computers to understand human body language. This helps to build a more potent link between humans and machines, rather than just the basic text user interfaces or graphical user interfaces (GUIs). In this project for gesture recognition, the human body's motions are read by computer camera. The computer then makes use of this data as input to handle applications. The objective of this project is to develop an interface which will capture human hand gesture dynamically and will control the volume level. For this, Deep Learning techniques such as Yolo model, Inception Net model+LSTM, 3-D CNN+LSTM and Time Distributed CNN+LSTM have been studied to compare the results of hand detection. The results of Yolo model outperform the other three models. The models were trained using Kaggle and 20% of the videos available in 20 billion jester dataset. After the hand detection in captured frames, the next step is to control the system volume depending on direction of hand movement. The hand movement direction is determined by generating and locating the bounding box on the detected hand.
vuetable-2
data table simplify! -- datatable component for Vue 2.x