In PyTorch Learing Neural Networks Likes CNN、BiLSTM

Performed comparative analysis of BiLSTM, CNN-BiLSTM and CNN-BiLSTM with attention models for forecasting cases.

Transformer for Action Recognition in PyTorch

[ICTC'24] - "Voice-Based Age and Gender Recognition: A Comparative Study of LSTM, RezoNet and Hybrid CNNs-BiLSTM Architecture" by Nhut Minh Nguyen, Thanh Trung Nguyen, Hua Hiep Nguyen, Phuong-Nam Tran, Duc Ngoc Minh Dang

doctor_prescription_recognization_using_DeepLearning project for epics

The model leverages the strengths of both CNNs and BiLSTM networks to effectively capture spatial and temporal patterns in network traffic data. We trained and evaluated the model using a comprehensive dataset of cyber attacks. The model achieved a high accuracy of 99%.

Research repository for nervous smile detection deep learning algorithm. 2 models, a KNN-SVM and CNN-BiLSTM are compared.

Comparison of machine learning architectures for neural decoding of self-location | MSc dissertation project

Wanna know pov of customer see your competitor brands? here you are

The project of implementing different deep learning models on doing machine-generated text detection and even the mixed human-machine text detection

Final Year project: SafeSpace is a machine learning and NLP-based framework designed to detect cyberbullying behaviour in real-time, particularly focusing on Hinglish (Hindi + English) text.

A final year project on sentiment analysis of mental health text using machine learning, deep learning, and transformer models. Includes full code and datasets.

Developed a Dysgraphia Detection web app using React, Flask, and TensorFlow to detect dysgraphia from handwriting samples. Built a CNN-BiLSTM model achieving 91% accuracy and provided structured reports for user-friendly diagnosis.