Sabarinathan's repositories
Facial-Attribute-Recognition-from-face-images
FacialAttributesExtractor is a Python library for precise facial attribute extraction, offering comprehensive insights into various features using OpenCV and Deep Learning. Enhance your image processing and real-time video applications with accurate analysis of age, gender, hair length, and more.
attribute-recognition
This repository contains a PyTorch implementation of a person attribute recognition model. The model has been trained to recognize various attributes such as age, gender, hair length, upper body features, lower body features, and accessories.
LightWeightModel
LightWeightModel_Spectral_Reconstruction
MultilevelHyper_Vision_Net
MOIR´E IMAGE RESTORATION USING MULIT LEVEL HYPER VISION NET
cheque-extract
automatic cheque extraction module using deep learning
Ultrasound-Image-Classification
Thyroid Nodule image Classification based on Geometric and Morphological Features
chatgpt-prompts
This repository contains the sample codes for prompt engineering
DePondFi24
This repository contains the sample codes for keypoint detection
diffusion_sample
This repository provides a sample implementation of a diffusion-based model for image generation and manipulation.
DualResidualAttention
Dual Residual Channel Attention Net for Spectral Reconstruction
Hiragana_OCR
This GitHub branch contains the Hiragana OCR module, which is a crucial component of our larger Japanese Character Recognition project. The main objective of this branch is to accurately recognize and convert handwritten or printed Hiragana characters into digital text format.
JapaneseNER
Named Entity Recognition (NER) is a key task in natural language processing (NLP) that focuses on identifying and classifying named entities (e.g., people, organizations, locations) in a given text.
Lighweight_Denoise
Lighweight Denoise model
OpenDocument
OpenDocument : Real time document processing library
Polyp-Segmentation-using-Efficient-net-
Efficient Supervision Net: Polyp Segmentation using Efficient net and Attention unit
TrimapExtraction
Light Weight Deep Learning Model For Trimap Prediction
att_squeeze_unet
Attention Squeeze U-Net
clean-ui2
Simple UI for Llama-3.2-11B-Vision & Molmo-7B-D
dsabarinathan
Profile
efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Fuji-chatbot
chatbot using the Japanese Language
Gender-and-Age-Detection
A Python project which can detect gender and age using OpenCV of the person (face) in a picture or through webcam.
keras_cv_attention_models
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam
lightslider
JQuery lightSlider is a lightweight responsive Content slider with carousel thumbnails navigation
PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
R1-V
Witness the aha moment of VLM with less than $3.
SARImageClassification
SAR+EO image classification using modified efficient
visualkeras
Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.