nazif2021

nazif2021's Stars

• biyonik/angular-hangman-game

  Language:TypeScript1

• Numan-karabela/nArchitecture-RenACar-

  Language:C#2

• naderjavid/OAuth2_IdentityServer

  Language:C#4

• aishwaryanr/awesome-generative-ai-guide

  A one stop repository for generative AI research updates, interview resources, notebooks and much more!

  8.5k1.9k

• sarah-sameh/Car-Rental-AngularWebsite

  Language:HTML1

• thieu1995/iot_dataset

  2718

• Al-tekreeti/intrusion-detection

  Colab notebooks for intusion detection in IoT networks.

  Language:Jupyter Notebook1

• vikkey321/Applying-Machine-Learning-on-IOT-Data

  In this tutorial, I am going to show you how to apply machine learning on data collected from your IoT endpoints , in our case it is nodemcu. In the previous tutorial, we already got data from nodemcu on google spreadsheet using google apps script api. We connected a temperatures sensor to nodemcu, and we were updating the data on the google spreadsheet. We will be using jupyter notebook in this tutorial and write a python code that will predict the future temperature data based upon the data history we have.

  Language:Jupyter Notebook810

• Nabila-Nabil/Learnify-backend-E-Learning-Management-System-api

  A comprehensive backend system for an e-learning management platform, enabling seamless course management, user authentication, and content delivery.

  Language:C#2

• thisisnabi/DigitalWallet

  The E-Commerce User Wallet Service designed in ASP.NET Core

  Language:C#18853

• langchain-ai/rag-from-scratch

  Language:Jupyter Notebook2.4k724

• rell384/Library-Management-System

  Language:C#3

• infiniflow/ragflow

  RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

  Language:Python18.7k1.9k

• engindemirog/WebApi

  Language:C#243

• Mkhubaiib/Machine-Learning-Model-to-predict-attack-in-IOT-Devices

  I developed a machine learning model for predicting SHA, DFA, SFA, SYA, and VNA attacks on IoT devices.

  Language:Jupyter Notebook53

• eshaan90/iot-analytics

  Machine Learning Projects on IOT sensor data

  Language:Jupyter Notebook84

• kahramankostas/CNN-based-IoT-Device-Identification

  Multi-class classification via CNN using fingerprints extracted from IoT devices captures data.

  Language:Jupyter Notebook41

• Shauqi/Attack-and-Anomaly-Detection-in-IoT-Sensors-in-IoT-Sites-Using-Machine-Learning-Approaches

  Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats and attacks in these infrastructures are also growing commensurately. Denial of Service, Data Type Probing, Malicious Control, Malicious Operation, Scan, Spying and Wrong Setup are such attacks and anomalies which can cause an IoT system failure. In this paper, performances of several machine learning models have been compared to predict attacks and anomalies on the IoT systems accurately. The machine learning (ML) algorithms that have been used here are Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN). The evaluation metrics used in the comparison of performance are accuracy, precision, recall, f1 score, and area under the Receiver Operating Characteristic Curve. The system obtained 99.4% test accuracy for Decision Tree, Random Forest, and ANN. Though these techniques have the same accuracy, other metrics prove that Random Forest performs comparatively better.

  Language:Jupyter Notebook4521

• Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

  Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

  Language:Jupyter Notebook620111

• mnsalim/IoT-Related-Dataset-and-Resources

  This project will list the publicly available datasets in IoT domain and other resources that are required to do research in IoT domain

  163

• saisubhasish/Transformers

  Language:Jupyter Notebook1

• graykode/nlp-tutorial

  Natural Language Processing Tutorial for Deep Learning Researchers

  Language:Jupyter Notebook14.1k3.9k

• Prerna5194/IMDB_BERT_TRANSFORMER

  IMDB Classification using BERT and Hugging Face

  Language:Jupyter Notebook42

• MLphile/BERT_on_Movie_Reviews

  Sentiment analysis on IMDB movie reviews using BERT.

  Language:Jupyter Notebook12

• SrishtiVashishtha/Fuzzy-Rule-based-Unsupervised-Sentiment-Analysis-from-Social-Media-Posts

  Sentiment analysis of social media posts particularly tweets using a novel fuzzy rule based system.

  Language:Python1514

• ashishpatel26/LLM-Finetuning

  LLM Finetuning with peft

  Language:Jupyter Notebook2.1k584

• rushikeshmuley/Complete-Langchain-Tutorials

  Language:Jupyter Notebook11

• harshithvarmapothuri/GEN_AI_NEWS_ARTICLE_PDF_ANALYZER_2024

  Language:Jupyter Notebook1

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook37.9k4k

• TirendazAcademy/Bert-Text-Classification-Gradio-App

  End-to-end text classification project with Transformers, Comet ML, and Gradio

  Language:Jupyter Notebook32