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MINITORCH IMPLEMENTATION
MINITORCH IMPLEMENTATION
Course: Advanced Machine Learning (CS 691 -IV)
Mentor: Prof. Anirban Dasgupta
Reimplemented a minimal library from scratch to help understand the Dynamic Computational Graph of PyTorch.
Designed and internalized concepts of deep learning systems such that the developed library can run the PyTorch code efficiently.
FACE RECOGNITION AND CLASSIFICATION
FACE RECOGNITION AND CLASSIFICATION
Course: Probability & Random Processes (ES 331)
Mentor: Prof. Shanmuganathan Raman
Applied the classic Viola Jones algorithm for the detection of faces
Conceived an algorithm for the classification of detected faces using the Eigenface concept
IMAGE DENOISING
IMAGE DENOISING
Course: Probability & Random Processes (ES 331)
Mentor: Prof. Shanmuganathan Raman
Performed Image Denoising method for removing noise from the image, using a nonlocal means algorithm
Compared results after image denoising with the Gaussian filtering method.
PREDICTION OF AGRICULTURE PRODUCTION
PREDICTION OF AGRICULTURE PRODUCTION
Course: Sustainability & Environment (CE 202)
Mentor: Prof. Udit Bhatia & Prof. Vimal Mishra
Acquired datasets from various sources, reduced the complexity and redundancy using Principal Component Analysis (PCA) and SVD, and looked into the correlation of production and climatic variables.
Predicted the agriculture yield and obtained a relative error of less than 20% by using multilinear, Lasso, and LGB regressors across several crops and seasons for all districts in Gujarat
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