Projects in Awesome Lists by zamaex96

https://github.com/zamaex96/hybrid-cnn-lstm-with-spatial-attention

This documents the training and evaluation of a Hybrid CNN-LSTM Attention model for time series classification in a dataset. The model combines convolutional neural networks (CNNs) for feature extraction, long short-term memory (LSTM) networks for sequential modeling, and attention mechanisms to focus on important parts of the sequence.

attention cnn-classification hybrid lstm-model machine-learning

Last synced: 08 Jan 2026

https://github.com/zamaex96/spoof-detect-using-vit

This comprehensive code implements a deep learning solution for spoofing detection using a Vision Transformer (ViT) architecture. The system leverages transfer learning by fine-tuning a pre-trained ViT model for binary classification, distinguishing between genuine and spoofed images in a specialized security dataset.

image-classification machine-learning spoofing vision-transformer

Last synced: 08 Jan 2026

https://github.com/zamaex96/ml-lstm-cnn-rnn-mlp

Fundamental files to train and evaluate a simple LSTM, MLP, CNN, and RNN model which can be trained on a time-series dataset composed of n input features and m outputs classes.

cnn confus dataset infer lstm-model machine-learning-algorithms mlp rnn split training

Last synced: 08 Jan 2026

https://github.com/zamaex96/pythonprojectsms

Last synced: 08 Jan 2026

https://github.com/zamaex96/adventure-into-ai-ml-mastery

Stepping into the AI/ML universe might feel like trying to tame a dragon, but with this slick roadmap, you’ll be slaying it like a pro in no time. We’re talking a step-by-step glow-up from newbie to ML wizard, and all you need is this dope YouTube playlists to light the way. Ready to level up? Let’s roll!

ai learn-to-code learning-by-doing machine-learning ml-foundations

Last synced: 08 Jan 2026

https://github.com/zamaex96/explainable-ai-xai-hybridcnnlstmwithattention

This setup provides a basic integration of SHAP into your model training process, enabling you to gain insights into how different features affect the model's predictions. You can further customize and extend the XAI component based on your specific needs and requirements.

ai explainable-ai hybridcnnlstm

Last synced: 08 Jan 2026

https://github.com/zamaex96/bch-vlc

The provided code is written in Embedded C and is designed for an AVR microcontroller (likely ATmega128A), focusing on implementing a BCH (31,16) error-correcting code for encoding and decoding messages. It also includes UART communication for data transmission and uses timers for timing operations.

atme- bch-codes embedded-c vlc

Last synced: 18 May 2026