Muhammad Allah Rakha's Projects
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
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 Underwater Mimicking Sea Classification by Multiscale Deep Features Aggregation and Low Complexity, and Data Augmentation.
Adversarial Network Attacks (PGD, pixel, FGSM) Noise on MNIST Images Dataset using Python (Pytorch)
Breast_Cancer_Analysis
The C++ project of Caesar Cipher in Encrypted and Decrypted.
The C++ project of Cryptography in Encrypted and Decrypted.
The OOP project for beginner in C++ programming language.
The all basic concept that are use in Programming Fundamental course of C++ program language.
Customer_Segmentation_R_Project
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 (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.
Website convert into Desktop Application through the Electron JS
False Data Injection Attack (FDIA) with Long Sort Term Memory (LSTM) Model using Python
Framingham_Hart_Study_Cohort
Goal-Kicker-Notes-Professional-Programming-Languages (goal kicker)
GPT based autonomous agent that does online comprehensive research on any given topic
Graph Convolution Network GCN with Dimensional Redaction and Differential Algorithms using Python
Hadoop: Installation, Commands and Word Count Example
Website to Human Resource Management System of the Employee Dashboard.
Hybrid Model with CNN and LSTM for VMD dataset using Python
Hyperspectral Image Denoising using Attention and Adjacent Features Extraction Hybrid Dense Network
Attack Detection, Parameter Optimization and Performance Analysis in Enterprise Networks (ML Networks) for Intrusion Detection System IDS.
Intrusion Detection System for MQTT Enabled IoT.
Life_Expectancy_Predication
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent