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15-programming-laguage

Fifteen programming language are written in One Book form format. Such as the language is (Python, Ruby, PHP, Perl, Rust, R, Julia, Lua, Swift, C, C++, C#, Java, JavaScript, Go)

aaaastark

aaaastark

aaaastark.github.io

accelerometer-sensors-analysis

Time Series Analysis: Accelerometer Sensors of Object Inclination and Vibration. Time Series Analysis by using different (State of Art Models) Machine and Deep Learning. Recurent Neural Network with CuDNNLSTM Model, Convolutional Autoencoder, Residual Network (ResNet) and MobileNet Model.

acoustic-communication-mimicking-sea

Acoustic Communication Underwater Mimicking Sea Classification by Multiscale Deep Features Aggregation and Low Complexity, and Data Augmentation.

adversarial-network-attack-noise-on-mnist-dataset-pytorch

Adversarial Network Attacks (PGD, pixel, FGSM) Noise on MNIST Images Dataset using Python (Pytorch)

breast_cancer_analysis

Breast_Cancer_Analysis

cpp-caesar-cipher-encrypted-decrypted

The C++ project of Caesar Cipher in Encrypted and Decrypted.

cpp-cryptography-encrypted-decrypted

The C++ project of Cryptography in Encrypted and Decrypted.

cpp-object-oriented-programming

The OOP project for beginner in C++ programming language.

cpp-programming-fundamental

The all basic concept that are use in Programming Fundamental course of C++ program language.

customer_segmentation_r_project

Customer_Segmentation_R_Project

data-scientist-books

Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)

deep-learning

Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Deep-learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, machine vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance. Artificial neural networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems. ANNs have various differences from biological brains. Specifically, neural networks tend to be static and symbolic, while the biological brain of most living organisms is dynamic (plastic) and analog. The adjective "deep" in deep learning comes from the use of multiple layers in the network. Early work showed that a linear perceptron cannot be a universal classifier, and then that a network with a nonpolynomial activation function with one hidden layer of unbounded width can on the other hand so be. Deep learning is a modern variation which is concerned with an unbounded number of layers of bounded size, which permits practical application and optimized implementation, while retaining theoretical universality under mild conditions. In deep learning the layers are also permitted to be heterogeneous and to deviate widely from biologically informed connectionist models, for the sake of efficiency, trainability and understandability, whence the "structured" part.

detecting_fake_news_python_project

detecting_parkinson-s_disease_python_project

electronjs-desktop-application

Website convert into Desktop Application through the Electron JS

false-data-injection-attack

False Data Injection Attack (FDIA) with Long Sort Term Memory (LSTM) Model using Python

framingham_hart_study_cohort

Framingham_Hart_Study_Cohort

goal-kicker-notes-professional-programming-languages

Goal-Kicker-Notes-Professional-Programming-Languages (goal kicker)

gpt-researcher

GPT based autonomous agent that does online comprehensive research on any given topic

graph-convolution-network-with-dimensional-redaction-and-differential-algorithms-python

Graph Convolution Network GCN with Dimensional Redaction and Differential Algorithms using Python

hadoop-insallation-commands-wordcount

Hadoop: Installation, Commands and Word Count Example

human_resource_management_system

Website to Human Resource Management System of the Employee Dashboard.

hybrid-model-with-cnn-lstm-python

Hybrid Model with CNN and LSTM for VMD dataset using Python

hyperspectral_image_denoising_aafehdn

Hyperspectral Image Denoising using Attention and Adjacent Features Extraction Hybrid Dense Network

image_classification_and_convolution_neural_network

intrusion-detection-system

Attack Detection, Parameter Optimization and Performance Analysis in Enterprise Networks (ML Networks) for Intrusion Detection System IDS.

intrusion-detection-system-mqtt-enabled-iot

Intrusion Detection System for MQTT Enabled IoT.

life_expectancy_predication

Life_Expectancy_Predication