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Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known techniques for training and fine tuning LLMs.
This project contains a step-by-step guide on how to design an advanced agentic memory for your LLM based applications.
Analyzing and transforming a UK-based retail dataset (2010-2011) into a customer-centric format for customer segmentation using K-means clustering. Implementing a personalized recommendation system…
An urban traffic violation detection system using classical image processing techniques. Features include real-time traffic light recognition, adaptive night-time stop line detection, robust licens…
Telegram IMDb Bot: Python-based bot for Telegram. Features include movie search via IMDb API, watchlist management, and movie details retrieval. Check the demo video to see it in action.
In this repo, we analyze a dataset of heart patient metrics to build a model identifying heart disease risks. We prioritize high recall for comprehensive detection through EDA, preprocessing, and m…
Harnessing LSTM for gold price prediction from 2013-2022. Trained on 9 years of data, the model predicts prices for 2022. The repo contains detailed explorations, visualizations, and insights, achi…
An exploration of CIFAR-10 image classification using a CNN model built with Keras. This repository includes training, evaluation, and external image testing to understand model generalization.
In this repository by using Pytorch, I build, train and evaluate LSTM models for predicting Google stock prices
AI-powered tool for Facial Attribute Analysis. It accurately predicts age, gender, race, and emotions for unmasked faces. Enhanced to detect masked faces, ensuring reliable analysis in real-world s…
Data Science Tutorials with Python
Predictive modeling of hotel booking cancellations. Handling complex data preprocessing, feature engineering, and noise. Evaluating models for high F1-score and analyzing key features for interpret…
Dive into polynomial regression and its assumptions in car price prediction. This repo explores Linear, Polynomial, Ridge, Lasso, and Elastic-Net models on the CarDekho dataset for accurate estimat…
An extensive exploration and preprocessing of Flight data. The project encompasses detailed EDA (Univariate, Bivariate, and Multivariate analysis), along with comprehensive data preprocessing techn…
The project aims to predict employee resignations using XGBoost and CatBoost regressors. It involves extensive EDA, data preprocessing, model building, hyperparameter tuning, and model evaluation. …
In this repo, I will use GAN(Generative Adversarial Network) on Anime_image dataset.
Classification project to pinpoint potential loan customers from an imbalanced dataset. Emphasizes on penalized and tree-based algorithms, optimizing for both recall and precision to enhance campai…
This project is related to customer segmentation for loans
Launching a mobile company to rival giants like Apple & Samsung, we leverage sales data to discern price ranges for mobiles based on features via ML models like SVM, DT, & RF. Not aiming for exact …
This project leverages DCGANs and the CelebA dataset to create photorealistic, synthetic human faces. The DCGAN model crafts new faces that, although similar to the celebrities in the training set,…
This project is related to the division of countries For donations
In this repository by using tensorflow, I build, train and evaluate LSTM models for predicting Google stock prices