Projects in Awesome Lists by HaseebUlHassan437
A curated list of projects in awesome lists by HaseebUlHassan437 .
https://github.com/haseebulhassan437/langchain-textsplitters
Explore different text splitting techniques in LangChain, including semantic, code-based, markdown, and PDF chunking.
google-gemini-embeddings pdf-splitter python-code-chunking semantic-chunker
Last synced: 16 Apr 2025
https://github.com/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.
Last synced: 04 Apr 2025
https://github.com/haseebulhassan437/number_plate_detection-_-_text_extraction-
Number_plate_detection _&_text_extraction
Last synced: 04 Apr 2025
https://github.com/haseebulhassan437/objectdetection_of_riped_strawberry_with_yolov5
Last synced: 04 Apr 2025
https://github.com/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.
json-schema langchain llm pydantic structured-outputs typeddict
Last synced: 27 Mar 2025
https://github.com/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."
conditional-chains langchain-workflows parallel-processing sequential-processing
Last synced: 04 Apr 2025
https://github.com/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.
Last synced: 04 Apr 2025
https://github.com/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
langchain-runnables parallel-sequential-processing-ai runnable-branch runnable-lambda runnable-parallel runnable-passthrough runnable-sequence
Last synced: 04 Apr 2025
https://github.com/haseebulhassan437/summary-using-langchain-prompt-stemplate-
Last synced: 04 Apr 2025
https://github.com/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.
Last synced: 04 Apr 2025
https://github.com/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.
Last synced: 04 Apr 2025
https://github.com/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.
Last synced: 04 Apr 2025
https://github.com/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.
Last synced: 04 Apr 2025