HaseebUlHassan437/binary-classification-on-Magic-dataset-

Binary Classification and Visualization of Model Results for Different Parameter Values

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HaseebUlHassan437/fyp-SolveXpert

AI SolveXpert is an AI-powered platform for context-based math problem solving, featuring a RAG system for document-based Q&A with voice interaction and an integrated avatar. It aims to provide an immersive and intelligent learning experience

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HaseebUlHassan437/deep_rnns_and_difference-in_parameters

Exploring deep RNN architectures and parameter differences using TensorFlow/Keras — comparing stacked vs wider models for sequential data.

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HaseebUlHassan437/LSTM-next-word-predictor

A deep learning-based LSTM model for predicting the next word in a sequence using natural language processing techniques.

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HaseebUlHassan437/classification-cats-vs-dogs-using-kesras..

A deep learning project using Keras to classify images of cats and dogs with convolutional neural networks (CNNs).

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HaseebUlHassan437/Data-Augmentation-using-keras

A practical guide to image data augmentation using Keras' ImageDataGenerator and tf.data pipelines for deep learning models.

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HaseebUlHassan437/Hacker-rank-problem-s-solution

Simulates a queen's movement on a chessboard with obstacles, calculating how many squares she can attack.

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HaseebUlHassan437/recurrent-neural-networks-RNN

how neural networks do works example by code.....

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HaseebUlHassan437/pre-trained-Resnet18-and-Resnet50

This project demonstrates how to use pre-trained ResNet18 and ResNet50 models for image classification. ResNet18 is applied to the CIFAR-10 dataset, while ResNet50 performs top-5 predictions on custom images using ImageNet weights—all implemented in PyTorch via Google Colab.

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HaseebUlHassan437/padding_pooling-and-stride-using-keras-

📚 Visual demonstration of CNN concepts like padding, pooling, and stride using Keras and TensorFlow.

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HaseebUlHassan437/weights-initialization

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HaseebUlHassan437/dropouts-in-classifications_regression

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HaseebUlHassan437/Back-propogation-classification-and-regression-

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HaseebUlHassan437/MNIST-classification-using-keras

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HaseebUlHassan437/perceptron

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HaseebUlHassan437/LangChain-chromaDB

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HaseebUlHassan437/Langchain-textSplitters

Explore different text splitting techniques in LangChain, including semantic, code-based, markdown, and PDF chunking.

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HaseebUlHassan437/Streamlit-App-Number_plate_detection-_-_text_extraction-with-list-database-

"Streamlit app using YOLOv5 and EasyOCR for car number plate detection and management."

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HaseebUlHassan437/runnable-in-langchain

demonstrates LangChain Runnables for building modular AI workflows. It covers sequential execution, parallel processing, conditional branching, lambda-based transformations, and direct passthroughs using Google Gemini and OpenAI models. Each file showcases a different runnable: generating reports, summarization, joke creation and content writing

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HaseebUlHassan437/chains-in-Langchain

"Advanced LangChain workflows utilizing Google Gemini, OpenAI, and Anthropic for structured AI-driven text processing. This repository includes examples of sequential, parallel, and conditional chains for generating structured outputs, sentiment analysis, summarization, and interactive AI workflows."

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HaseebUlHassan437/structured-output-using-LangChain

Demonstrates enforcing structured outputs from LLMs using LangChain (Google Gemini & HuggingFace) with Pydantic, TypedDict, and JSON Schema. Includes standalone examples for data validation and schema‑driven text generation. Quickly run each script to see how to produce reliably formatted AI responses.

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HaseebUlHassan437/all-about-NLP

Code implementations for **“The Ultimate NLP Guide”** — a complete collection of Colab notebooks and Python scripts that mirror the PDF’s chapter‑by‑chapter tutorials, from text preprocessing and embedding models through attention mechanisms and transformer architectures.

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HaseebUlHassan437/local_Repo

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HaseebUlHassan437/git_demo

git setup

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HaseebUlHassan437/summary-using-LangChain-prompt-stemplate-

Streamlit‑powered research summarization tool using LangChain and Google Gemini (Gemini‑1.5‑Pro) for customizable, AI‑generated explanations of academic papers.

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HaseebUlHassan437/Chat-models-using-LangChain-Gemini-API-

A minimal example demonstrating LangChain integration with Google Generative AI (Gemini-1.5-Pro) for querying the most popular political leader of Pakistan. The script loads API keys from a `.env` file and prints the AI-generated response.

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HaseebUlHassan437/LangChain-using-api-of-different-models-

A minimal example demonstrating the integration of LangChain with OpenAI's GPT-3.5-turbo-instruct model. This script loads configuration from a .env file using dotenv and generates AI-powered explanations for topics like machine learning, deep learning.

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HaseebUlHassan437/Object_Detection_and_Segmentaion_of-_Brain_Tumor_using_Yolov5

A project focused on brain tumor detection using YOLOv5, converting COCO annotations to YOLO format for efficient object detection in MRI scans. The repository includes scripts for dataset preparation, model training, and inference.

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HaseebUlHassan437/objectDetection_of_riped_strawberry_with_Yolov5

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HaseebUlHassan437/TransferLearning_pre_trained_resNet18

Classify images of ants and bees using transfer learning with a pre-trained ResNet model. This project demonstrates efficient feature extraction and fine-tuning for accurate binary classification.

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HaseebUlHassan437/Number_plate_detection-_-_text_extraction-

Number_plate_detection _&_text_extraction

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HaseebUlHassan437/Object_Detection_and_Segmentaion_using_Yolov5

A project for detecting and segmenting strawberry diseases using YOLOv5, with instance segmentation on a custom dataset. The dataset is annotated with polygon points for six disease classes.

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