Paper replications for various classification and object detection tasks, all implemented from scratch using PyTorch. Additionally, I have pruned certain networks to enhance their real-time performance, allowing for a tunable trade-off between accuracy and efficiency.
Aug 20, 2024
Searched for the set of efficient deep neural architectures (FPGANets) for image classification with two constraints: arithmetic intensity and latency for FPGA. This approach outperformed many existing networks in terms of both latency and accuracy on ImageNet-1k.
Apr 4, 2024
EfficientNetV2 Optimization Pruned 88% of channels of EfficientNetV2, resulting in a model that is 14x smaller, 2.5x faster, with 14x fewer parameters and just a 2% loss in accuracy.
Jan 2, 2024
The dataset contains images of 49 famous individuals from Nepal, including actors, actresses, singers, and social figures. The individuals vary in age, gender, and profession. Potential uses for this dataset include face recognition, face detection, emotion recognition, and training machine learning models related to facial analysis.
May 20, 2023
Prepared a dataset containing Normal, Tuberculosis (TB), and Pneumonia lung X-rays, and implemented a Deep Neural Network (DNN) to accurately classify these three categories. The challenge was to tackle the class imbalance inherent in the dataset.
Apr 4, 2023
Finance Portfolio Manager Developed a Flask web app for stock trading, enabling user registration, querying for stocks, buying, selling, viewing the portfolio, and their transaction history with security features.
Oct 26, 2022