PyTorch
4 projects use this
Multi-Class Animal Classification with CNNs
Trained and refined a multi-class CNN classifier using validation tracking, Adam optimization, learning rate scheduling, and regularization techniques to improve animal image recognition performance.
Real-Time Trail Segmentation Model for An Autonomous Robot
Implemented deep learning-based semantic segmentation in PyTorch to classify outdoor trails, benchmarking multiple CNN architectures and optimizing LEDNet for accurate real-time robotic perception.
Transformer-Based English-to-French Translation
Built a custom Transformer architecture for machine translation using deep learning and NLP techniques, implementing attention mechanisms, positional encoding, and decoding strategies for language generation.
Robust Visual Navigation Using Semantic Segmentation and Sensor Fusion
Developed a ROS2 autonomous navigation pipeline using Python, OpenCV, PyTorch, and LEDNet for real-time trail segmentation, combining YOLOv7, lidar, and camera fusion for pedestrian-aware robotic navigation.