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KRG's Projects

design-and-train-neural-network-from-scratch icon design-and-train-neural-network-from-scratch

Explore the Math behind it by designing a neural network, derive the parameter gradients with respect to loss function and update the parameter weights and update the weight parameters using the gradients without the help of in-built libraries.

financial_q-a_chatbot icon financial_q-a_chatbot

Q&A Chatbot capable of answering questions related to the financial reports of large public companies. This chatbot can be directly hosted in Heroku platform. The RAG (Retrieval-Augmented Generation) approach is used.

image-super-resolution icon image-super-resolution

Created a model that can increase the resolution of images by 4 times, using an SRResNet model provided by BasicSR framework and DIV2K data set. Multiple data augmentation techniques were used along with the MSE loss function. Obtained a PSNR value of 26.341 dB after 47 epochs.

recognition-and-classification-of-facial-attributes icon recognition-and-classification-of-facial-attributes

Created a classifier that can identify and classify 41 types of facial attributes, using an ImageNet pre-trained ResNext50 model provided by PyTorch and CelebA dataset. Multiple data augmentation techniques were used along with the MSE loss function. Obtained a training accuracy of 95.7% and test accuracy of 91.8%.

tensorrtx icon tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

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