Top 25 Deep Learning Projects on GitHub with Dataset
Image Classification using CNN – Classify images into categories using convolutional neural networks.
Face Recognition System – Identify faces using deep learning and OpenCV datasets.
Object Detection using YOLO – Detect real-time objects using YOLO models.
Handwritten Digit Recognition (MNIST) – Recognize digits using neural networks.
Emotion Detection from Images – Detect facial emotions using CNN models.
Mask Detection System – Identify mask usage using image datasets.
Speech Recognition System – Convert speech to text using deep learning.
Neural Style Transfer – Apply artistic styles to images.
Image Caption Generator – Generate captions for images using RNN and CNN.
Chatbot using Deep Learning – Build conversational AI using LSTM models.
Fake News Detection – Detect fake news using deep learning NLP models.
Sentiment Analysis using LSTM – Analyze text sentiment using sequence models.
Autonomous Driving Simulation – Detect lanes and objects for self-driving cars.
Human Activity Recognition – Identify activities using sensor datasets.
Plant Disease Detection – Detect diseases using leaf image datasets.
Skin Cancer Detection – Classify skin lesions using medical datasets.
Video Classification System – Classify videos using deep learning models.
Pose Estimation System – Detect human body movements.
Super Resolution Imaging – Improve image quality using deep learning.
Text Summarization – Generate summaries using NLP models.
Language Translation Model – Translate languages using sequence-to-sequence models.
Recommendation System using Deep Learning – Suggest products or content.
Audio Classification – Classify sound signals using neural networks.
GAN-based Image Generator – Generate realistic images using GANs.
Traffic Sign Detection – Recognize road signs using deep learning.
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