hybrid-model

[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

VAAS is an inference-first, research-driven library for image integrity analysis. It integrates Vision Transformer Attention Mechanisms with patch-level self-consistency analysis to enable fine-grained localization and detection of visual inconsistencies across diverse image analysis tasks.

📖 mmCIF support for hybrid/integrative models

This repository began as a 7th-semester minor project and evolved into our 8th-semester major project, "Advanced Stock Price Forecasting Using a Hybrid Model of Numerical and Textual Analysis." It utilizes Python, NLP (NLTK, spaCy), ML models, Grafana, InfluxDB, and Streamlit for data analysis and visualization.

[MICCAI 2024] HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training

This repository implements a Deep Joint Source-Channel Coding (JSCC) system using Vision Transformers (SemViT) for semantic communications. It supports various channel models (AWGN, Rayleigh, Satellite, etc.) and hardware implementation via USRP.

Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach

Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in multi-physics modeling of soft tissues.

We use our VDEmodel. Our purpose is that predict the distance between car based on Deep-Learning.

HybridVision is a real-time traffic sign recognition system built with a hybrid deep learning pipeline for both detection and classification. I created a custom Bangladeshi traffic sign dataset by collecting and annotating 9,133 images, organized into 29 traffic sign categories using Roboflow.

The main aim of the project is to develop a sentiment analyzer that can be used on twitter data to classify it as positive or negative. Our project takes care of the challenge of bilingual comments, where people tweet in two languages, in this case Hindi and English, in the Latin Alphabet.

This repository is the official implementation of the Hybrid Self-Attention NEAT algorithm. It contains the code to reproduce the results presented in the original paper: https://link.springer.com/article/10.1007/s12530-023-09510-3

An ML-driven EV battery optimization system that predicts energy consumption, enhances range efficiency, and intelligently adapts to driving conditions for sustainable performance.

https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

A Hybrid Neural Network Approach for Increasing the Absolute Accuracy of Industrial Robots

Django React Boilerplate Template - Hybrid Model, with Session authentication and CSRF Protection

Movie and Series Streaming Android Application