This project offers an easy, flexible, modular PyTorch implementation for semantic segmentation to minimize configuration, automate training and deployment, and enable customization of models, encoders, losses and datasets through its modular design.

This is a classification model and a post-processing method of any object detection model for false positive elimination.

A framework to accelerate AI/ML development 🚀

🥈12th place solution on G2Net Detecting Continuous Gravitational Waves🥈

Develope a robust and high-performance model utilizing computer vision techniques to classify images as either fraudulent or non-fraudulent within the context of insurance claims

building a multitask training platform based on Pytorch

Implementation of Barlow Twins: Self-Supervised Learning via Redundancy Reduction with `timm` integration

Image search engine

Low-code machine learning and deep learning

Sudoku Analysis Software

Android application used for organizing, sorting and localizing of pictures of landmarks, as well as identifying similar images to the photos made by the user

PyTorch implementation of 'ViViT' (Arnab et al., 2021) from scratch.

This repository is the implementation of the paper: ViT2 - Pre-training Vision Transformers for Visual Times Series Forecasting. ViT2 is a framework designed to address generalization & transfer learning limitations of Time-Series-based forecasting models by encoding the time-series to images using GAF and a modified ViT architecture.

Streamlit app that performs binary and multiclass classification of gravitational lensing images along with dark matter halo mass prediction.

An easy classification implement to explain how triton work

Deep learning based color transfer between images.

PetFinder.my - Pawpularity Contest 13/3537 solution

The AI framework for software engineers