AmirhosseinHonardoust / Image-Captioning-CNN-LSTMView external linksLinks
An end-to-end image captioning project using a CNN encoder (ResNet-50) and LSTM decoder in PyTorch. Includes vocabulary building, preprocessing, training with BLEU evaluation, and inference. Generates natural language captions for images with saved metrics, model checkpoints, and visualization outputs.
☆43Sep 13, 2025Updated 5 months ago
Alternatives and similar repositories for Image-Captioning-CNN-LSTM
Users that are interested in Image-Captioning-CNN-LSTM are comparing it to the libraries listed below
Sorting:
- A hands-on project for forecasting time-series with PyTorch LSTMs. It creates realistic daily data (trend, seasonality, events, noise), p…☆25Sep 11, 2025Updated 5 months ago
- Synthetic sales data analysis with Python. Generate realistic sales transactions, clean and validate data, compute KPIs, and visualize re…☆29Oct 30, 2025Updated 3 months ago
- Analyze employee performance and productivity using SQL and Python. Build HR dashboards to evaluate departmental KPIs, efficiency trends,…☆30Oct 22, 2025Updated 3 months ago
- Customer churn prediction with Python using synthetic datasets. Includes data generation, feature engineering, and training with Logistic…☆25Sep 11, 2025Updated 5 months ago
- Hybrid AI is the future of explainable intelligence. This article explores how combining vector search, knowledge graphs, and retrieval-a…☆21Nov 1, 2025Updated 3 months ago
- A detailed educational article exploring how Streamlit revolutionizes AI app development. Learn how this Python framework bridges the gap…☆22Oct 30, 2025Updated 3 months ago
- Movie recommendation system with Python. Implements content-based filtering (TF-IDF + cosine similarity), collaborative filtering with ma…☆29Sep 11, 2025Updated 5 months ago
- I’m Amirhosein Honardoust, a passionate developer and data scientist with experience in Python, PyTorch, deep learning, and machine learn…☆39Jan 30, 2026Updated 2 weeks ago
- Customer reviews sentiment analysis with Python and NLP. Generates a synthetic dataset of positive, neutral, and negative reviews, applie…☆25Sep 11, 2025Updated 5 months ago
- An AI-driven productivity tracking app built with Python, Streamlit, SQLite, and Machine Learning. It logs and analyzes study sessions, p…☆30Nov 20, 2025Updated 2 months ago
- A comprehensive deep dive into how Variational Autoencoders (VAEs) learn to generate realistic synthetic tabular data. This project explo…☆20Nov 10, 2025Updated 3 months ago
- A comprehensive, professional guide explaining the differences, strengths, and best practices of Retrieval-Augmented Generation (RAG) and…☆24Oct 31, 2025Updated 3 months ago
- A deep technical article exploring how AI, feature engineering, and static smart-contract analysis uncover rugpull risks before humans de…☆19Nov 19, 2025Updated 2 months ago
- An explanation-first HR analytics system that reconstructs why employee exit becomes rational. Instead of predicting attrition, it genera…☆15Dec 18, 2025Updated last month
- Detect and classify fraudulent transactions using SQL and Python. Generate behavioral features with SQLite, train a Logistic Regression m…☆32Oct 21, 2025Updated 3 months ago
- Predict the profitability of potential coffee shop locations using SQL and Python. Combines data engineering with feature-rich regression…☆40Oct 23, 2025Updated 3 months ago
- Detect suspicious financial transactions using SQL and Python. Build user-level behavioral features in SQLite, apply Isolation Forest for…☆28Oct 21, 2025Updated 3 months ago
- Missing Data Doctor is a diagnostic and treatment toolkit for missing values in machine learning datasets. It profiles missingness patter…☆18Nov 15, 2025Updated 3 months ago
- Noise Injection Techniques provides a comprehensive exploration of methods to make machine learning models more robust to real-world bad …☆20Nov 15, 2025Updated 3 months ago
- An explainable AI system that combines Graph Intelligence, Vector Search, and Retrieval-Augmented Generation (RAG) to deliver grounded an…☆24Nov 1, 2025Updated 3 months ago
- A PyTorch implementation of a Deep Convolutional GAN (DCGAN) trained on MNIST. Includes training scripts, generator & discriminator model…☆28Sep 12, 2025Updated 5 months ago
- End-to-end sentiment analysis of tweets using BERT. Includes preprocessing, training, and evaluation with classification reports, confusi…☆39Sep 17, 2025Updated 4 months ago
- Image classification with PyTorch using Convolutional Neural Networks (CNNs). Trains on MNIST with convolution, pooling, and fully connec…☆26Sep 11, 2025Updated 5 months ago
- Forecast factory is an interactive AI-powered forecasting and simulation tool built with Python, Streamlit, Prophet, and SQL. It enables …☆21Nov 7, 2025Updated 3 months ago
- End-to-end demand forecasting with Python using synthetic time-series sales data. Includes data generation, cleaning, ARIMA/SARIMA model …☆26Sep 11, 2025Updated 5 months ago
- My profile☆25Updated this week
- bcm-user-daemon is a tool for testing and debugging Broadcom's SDK, working with the bcm.user executable. It helps developers verify func…☆20Jul 8, 2025Updated 7 months ago
- Predict stock prices using LSTM networks in PyTorch. This project covers data preprocessing, sliding window creation, model training with…☆38Sep 13, 2025Updated 5 months ago
- A full stack blog application built with Next.js 15, MongoDB, and Tailwind CSS featuring frontend, backend, and admin panel. 📚☆13Aug 25, 2025Updated 5 months ago
- A snake game for MS-DOS. 🐍☆19Sep 3, 2024Updated last year
- Un poco sobre mi perfil!☆11Feb 8, 2026Updated last week
- This repository houses my GitHub profile README, think of it as the central hub where I'm crafting the narrative of my coding journey and…☆45Jan 31, 2026Updated 2 weeks ago
- ✏️🎨 Coloring book application for every operating system where Java SE is avaible!☆22May 18, 2025Updated 8 months ago
- An End-to-End Machine Learning Pipeline that combines financial news sentiment analysis with historical stock price features to predict s…☆22Nov 3, 2025Updated 3 months ago
- Image denoising using both traditional FFT-based filtering and a deep learning approach with DnCNN for comparative performance analysis.☆12Mar 31, 2025Updated 10 months ago
- 👩💻 Front-End Developer | Creative Coder | Always learning & building 🚀☆57Updated this week
- A complete NLP and Machine Learning project to detect fake and real news using TF-IDF and Logistic Regression. Includes full training pip…☆49Oct 26, 2025Updated 3 months ago
- Accurate-Cyber-Defense-Assembly-Tool is a lightweight, high-performance cybersecurity utility developed using Assembly and C programming …☆32Jul 31, 2025Updated 6 months ago
- ☆24Oct 28, 2024Updated last year