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An experiment on gaze tracker system, based on OpenCV, which shows how to control mouse pointer using eyes and gaze estimation
This repository contains code for the hands-on sessions on Natural Language Processing course offered at the Digital University Kerala
This repository contains a fully functional speech-to-speech chatbot pipeline that supports conversation in Malayalam. The chatbot allows users to interact in Malayalam, both in spoken form and thr…
TAG-Bench: A benchmark for table-augmented generation (TAG)
An open source implementation of CLIP.
Material Design icons by Google (Material Symbols)
This repository contains demos I made with the Transformers library by HuggingFace.
Implementation of Vision Transformer to solve image captioning task, a simple way to achieve SOTA, in Pytorch
Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning
A fuzzy distance-based ensemble of deep models for cervical cancer detection published in Computer Methods and Programs in Biomedicine, Elsevier
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Notebooks & Example Apps for Search & AI Applications with Elasticsearch
Overview and tutorial of the LangChain Library
✨✨Latest Advances on Multimodal Large Language Models
1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuch…
[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
SoftCTM won 3rd place in the OCELOT 2023 Challenge. Multi-organ H&E-based deep learning model for cell detection, applicable for tumor cellularity/ purity/ content estimation.
This repo provides the pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
Apply object detection with Faster R-CNN to classify predetermined objects using objects name and/or to use the likelihood of the object.
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.