Pinned Loading

1. ResNetInception-CNN-Classifier-For-TinyImageNetDataset ResNetInception-CNN-Classifier-For-TinyImageNetDataset Public

   CNN-based image classification using a ResNet-Inception hybrid model on the TinyImageNet dataset, including extensive hyperparameter tuning and performance comparison

   Jupyter Notebook 4 2

2. Twitter-Emotion-Classifier-using-Transformer-Encoder Twitter-Emotion-Classifier-using-Transformer-Encoder Public

   Forked from Seyed07/Twitter-Emotion-Classifier-using-Transformer-Encoder

   "A Transformer-based deep learning model for advanced emotion detection in tweets — combining powerful GloVe embeddings with custom text preprocessing for high accuracy classification."

   Jupyter Notebook 3

3. GAN-Model-For-Estimate-Cultivated-Areas-of-Strategic-Crops GAN-Model-For-Estimate-Cultivated-Areas-of-Strategic-Crops Public

   Utilized Google Earth satellite images as input data | Implemented GAN (Generative Adversarial Network) for segmentation | Enhanced results using Dense Conditional Random Fields (Dense CRF)

   Jupyter Notebook 3

4. Speech-Emotion-Recognition-using-Wav2Vec2 Speech-Emotion-Recognition-using-Wav2Vec2 Public

   Forked from Seyed07/Speech-Emotion-Recognition-using-Wav2Vec2

   A deep learning-based Speech Emotion Recognition (SER) system leveraging Wav2Vec2 and a combination of popular emotional speech datasets. Detects emotions like happy, sad, angry, and more from raw …

   Jupyter Notebook 3

5. MNIST-Deep-Learning-Saliency-Maps-and-FGSM-Attacks MNIST-Deep-Learning-Saliency-Maps-and-FGSM-Attacks Public

   Forked from Seyed07/MNIST-Deep-Learning-Saliency-Maps-and-FGSM-Attacks

   Deep learning project for MNIST digit classification with model training, saliency map visualization, and robustness evaluation using FGSM adversarial attacks.

   Jupyter Notebook 3

6. Line-Tracker-Rescue-Robot Line-Tracker-Rescue-Robot Public

   Built on ATmega128, designed to autonomously follow lines and rescue victims | Includes full codebase, schematics, and competition-ready hardware design.

   C 3