Malware detection using performance counters' data and deep learning time series classification methods. (POC)
Keras version implementation of Multi-column CNN for crowd counting.
Crowd estimator using MCNN, implemented with Keras for Chulalongkorn University ICE project.
Stereo matching with Deep learning Network(GCNet)
Assignments and Projects done in summer elective on Neural Networks.
PyTorch training and evaluation framework for crowd counting density estimation models (CSRNet, resSFCN, MCNN) on standard and custom datasets.
A Python Tkinter desktop application integrating YOLOv5 and MCNN density estimation models for real-time crowd counting, video stream detection, and classification.
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