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An open API service indexing awesome lists of open source software.

Projects in Awesome Lists by aaaastark

A curated list of projects in awesome lists by aaaastark .

https://github.com/aaaastark/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.)

ai artificial-intelligence datascience deeplearning dl ds gans lstm machinelearning ml probability python r statistics tsf

Last synced: 03 Apr 2025

https://github.com/aaaastark/genai-hub-space

Unlock peak productivity and navigate the GenAI-Hub-Space with confidence. This repository is your central hub for carefully curated AI tools, models, and learning resources designed to help developers, researchers, and professionals work smarter, not harder.

artificial-intelligence audio-processing automation autonomous-agents computer-vision data-science deep-learning generative-ai image-editing image-generation llm machine-learning music-generation natural-language-processing reinforcement-learning research-and-development speech-recognition speech-to-text text-to-speech voice-assistant

Last synced: 11 Apr 2026

https://github.com/aaaastark/human_resource_management_system

Website to Human Resource Management System of the Employee Dashboard.

css database django heroku herokuapp html javascript js json jsx mysql python sass sql

Last synced: 18 Feb 2026

https://github.com/aaaastark/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.

accelerator accelerometer convolutional-autoencoder cudnnlstm inclination keras markov-transition-fields matplotlib moblienet pandas python recurrent-neural-network residual-network sensor sensors-data-collection skleran tensorflow time-series-analysis vibration-analysis vibration-sensor

Last synced: 07 Apr 2026

https://github.com/aaaastark/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.

Last synced: 05 Mar 2025

https://github.com/aaaastark/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)

Last synced: 19 Mar 2026

https://github.com/aaaastark/aaaastark

aaaastark

aaaastark nvidia

Last synced: 19 Mar 2026

https://github.com/aaaastark/natural-language-processing

Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that studies how machines understand human language.Natural Language Processing (NLP) makes it possible for computers to understand the human language. Probably, the most popular examples of NLP in action are virtual assistants, like Google Assist, Siri, and Alexa. NLP understands and translates the human language, like “Hey Siri, where is the nearest gas station?” into numbers, making it easy for machines to understand.

Last synced: 21 May 2026

https://github.com/aaaastark/nemo-weightsbiases-tts

Training and Tunning a Text to speech model with Nvidia NeMo and Weights and Biases

fastpitch hifigan nemo nvidia-nemo text-to-speech weights-and-biases

Last synced: 05 Mar 2025

https://github.com/aaaastark/restaurant-dish-menu

Write a python program that display the menu of restaurant. Ask the user to choose the item from the menu list and keep choosing until user press N or enter no. If user chose burger category print all the names of burger along with its price assuming user have selected Beef burger ask for the quantity. Then ask again burgers or steaks or exit. At the end once user done with the menu display the total bill that includes the dish name, price(if quantity=2 then just display the total cost of that dish) and tax along with service charge . Also write the final bill in bill.txt

Last synced: 27 Jan 2026

https://github.com/aaaastark/nvidia-cuda-google-colab

Deployment of NVIDIA-CUDA on Google Colab. With in examples codes (Vector Addition and Matrix Multiplication).

c cpp cuda googlecolab googlecolaboratory matrix-multiplication nvidia python vector-addition

Last synced: 16 Apr 2026

https://github.com/aaaastark/top-password-secruity-system

The project base in three different Algorithm base. 1: Cryptography 2: Caesar Cipher 3: Vigenere Cipher. The OOP(C++) language use in this project building.

Last synced: 04 Jun 2026

https://github.com/aaaastark/mpi-openmp

MPI and OpenMP program run in CPP programming language. Operating System: Linux

cpp linux mpi openmp openmpi

Last synced: 21 Apr 2026

https://github.com/aaaastark/nbart-multilingual-translator

This repository contains a Python script that uses a pre-trained NBART (Neural Bidirectional AutoRegressive Transformer) model to perform multi-lingual translation tasks between several languages. The model was trained on multiple language pairs using data parallelism, allowing it to learn representations across all languages simultaneously.

bart huggingface llm llm-agent llms multilingual-models multilingual-translations nbart nlp-translation-ai-tensorflow-keras pytorch text-translation translation

Last synced: 23 Apr 2026

https://github.com/aaaastark/kotlin-full-course-codes

Kotlin is a cross-platform, statically typed, general-purpose programming language with type inference. Kotlin is designed to interoperate fully with Java, and the JVM version of Kotlin's standard library depends on the Java Class Library, but type inference allows its syntax to be more concise. Kotlin mainly targets the JVM, but also compiles to JavaScript (e.g., for frontend web applications using React) or native code (via LLVM); e.g., for native iOS apps sharing business logic with Android apps. Language development costs are borne by JetBrains, while the Kotlin Foundation protects the Kotlin trademark.

Last synced: 06 Jun 2026

https://github.com/aaaastark/cpp-cryptography-encrypted-decrypted

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

Last synced: 06 Jun 2026

https://github.com/aaaastark/cpp-caesar-cipher-encrypted-decrypted

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

Last synced: 07 Jun 2026

https://github.com/aaaastark/restaurant-management-system

The restaurant management system in c++ programming language.

Last synced: 06 Mar 2026

https://github.com/aaaastark/customer_segmentation_r_project

Customer_Segmentation_R_Project

r r-language

Last synced: 12 Jul 2025

https://github.com/aaaastark/machine-learning

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of Computer Programs that can change when exposed to new data. Machine Learning in Python by using four python library (Scikit-Learn, Matplotlib, Scipy and Seaborn).

Last synced: 04 Jun 2026

https://github.com/aaaastark/cpp-object-oriented-programming

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

Last synced: 05 Mar 2025

https://github.com/aaaastark/electronjs-desktop-application

Website convert into Desktop Application through the Electron JS

css electronjs html javascript js json jsx reactjs sql

Last synced: 07 Apr 2026

https://github.com/aaaastark/perceptron-neural-network

Artificial Natural Network Perceptron (Forward Pass and Back Propagation). Weights and Bias. Forward Pass: Net Input Function, Activation Function (Sigmoid). Threshold. Back Propagation: Binary Cross Entropy Loss, Computing Gradients/ Slopes/ Derivatives, Gradient Descent Step, Epoch.

artificial-neural-networks bias epoch gradient-descent perceptron python sigmoid threshold

Last synced: 15 May 2026

https://github.com/aaaastark/cpp-programming-fundamental

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

Last synced: 05 Mar 2025

https://github.com/aaaastark/textclassification-nlp-project

Dataset preparation, Feature Engineering, Model Building, Summary Statistics, Data Exploration by Visualizations, and Save File CSV

matplotlib nltk numpy pandas python seaborn sklearn textblob wordcloud

Last synced: 11 Apr 2026