Ecosyste.ms: Awesome

Projects in Awesome Lists by himalayaashish

A curated list of projects in awesome lists by himalayaashish .

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https://github.com/himalayaashish/lumbar-detection

The Lumbar Detection Project leverages advanced deep learning techniques to accurately identify and segment lumbar bones in medical imaging data. Using instance segmentation with the Mask R-CNN algorithm and semantic segmentation with the UNet architecture, the project aims to enhance diagnostic accuracy in spinal imaging.

computer-vision detectron2 object-detection tensorflow tensorflow2

Last synced: 05 Nov 2024

https://github.com/himalayaashish/anomaly-detection

This project focuses on implementing anomaly detection techniques using TensorFlow to identify outliers in various datasets. The model leverages deep learning algorithms, such as autoencoders and recurrent neural networks, to effectively recognize patterns and detect deviations from normal behavior. Optimized for performance.

encoder encoder-decoder-architecture tensorflow tensorflow2 time-series

Last synced: 05 Nov 2024

https://github.com/himalayaashish/chatwithyourdata

This project focuses on building a conversational agent that allows users to interact with PDF documents using natural language. By leveraging LangChain for orchestrating conversations and OpenAI's LLMs (Large Language Models), the system enables intelligent querying and summarization of PDF content.

embeddings langchain langchain-python llama2 llama3 tensorflow2

Last synced: 20 Oct 2024

https://github.com/himalayaashish/faceblur

This project focuses on implementing face blurring techniques using YOLO (You Only Look Once) and TensorFlow to enhance privacy in images and video streams. The system utilizes YOLO for real-time object detection to accurately identify faces within a given frame. Once detected, TensorFlow is applied

image segmentation tensorflow tensorflow2 unet unet-image-segmentation yolo yolov5 yolov8

Last synced: 05 Nov 2024

https://github.com/himalayaashish/colortrend

This project focuses on altering hair color in images using YOLO (You Only Look Once) and TensorFlow, showcasing innovative techniques in image processing and computer vision. The system leverages YOLO for real-time object detection to accurately identify and segment hair regions within images.

instance-segmentation object-detection tensorflow tensorflow2 unet unet-image-segmentation yolov5 yolov8

Last synced: 05 Nov 2024