classification

[AAAI'25] The implementation of paper "Federated Foundation Models on Heterogeneous Time Series" | The first work to explore time series foundation models on federated setting.

Build a Large Language Model From Scratch

A Streamlit-powered machine learning playground that automatically detects classification or regression tasks, builds pipelines with preprocessing, trains models interactively, and visualizes metrics using Plotly. Backward-compatible, fully responsive, and deployable on Streamlit Cloud or Docker.

Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles

Code and supplementary materials for the research paper titled 'Advancing Geological Image Segmentation: Deep Learning Approaches for Rock Type Identification and Classification', published in Applied Computing and Geosciences (Elsevier).

Deep Learning and Computer Vision application for chessboard detection and chess pieces classification.

CatIss is an intelligent tool for automatic categorization of issue reports based on the RoBERTa model.

MultiModal Classifier Hierarchy (MMoCHi)

Engineered an advanced deep learning model to automate the classification of financial documents, including Balance Sheets, Cash Flow and Income Statements using Bidirectional LSTM and TensorFlow. The model achieved an impressive accuracy of 96.2%, enhancing efficiency and reducing errors in document management for the finance and banking sectors.

DistilBERT model with Sequence Classification on 9 newsgroup datasets for the Nepali language with 95.475% accuracy.

Deep learning models(CNN, LSTM, BERT) for image and text classification task with Tensorflow and Keras

This repo shows how to classify crack images and discuss the result with grad-cam