charudatta10
I work at NITG. My areas of interest span across AI-ML, hardware accelerators, IP, web design, cryptography, network security, blockchain, and Web 3.
NIT GoaIndia
Pinned Repositories
7-Zip
7-Zip source code repository
AlpineWSL
Alpine Linux based WSL distribution. Supports multi-install. Lightest WSL distribution.
Download_Folder_Cleaner
cleanup python script
GenAI_GAN
Generative AI examples using GAN networks
hand_written_devnagari_script_recognition
This repository is an open-source project focused on recognizing handwritten Devanagari script characters. Devanagari is the script used for writing several Indian languages, including Hindi, Marathi, and Sanskrit.
PGAN-DNN
In this study, we propose Perceptual Generative Adversarial Networks (PGANs) for image-to-image transformations. Different from existing application driven algorithms, PGAN provides a generic framework of learning to map from input images to desired images, such as a rainy image to its de-rained counterpart, object edges to photos, and semantic labels to a scenes image. The proposed PAN consists of two feed-forward convolutional neural networks: the image transformation net- work T and the discriminative network D. Besides the generative adversarial loss widely used in GANs, we propose the perceptual adversarial loss, which undergoes an adversarial training process between the image transformation network T and the hidden layers of the discriminative network D. The hidden layers and the output of the discriminative network D are upgraded to constantly and automatically discover the discrepancy between the transformed image and the corresponding ground truth, while the image transformation network T is trained to minimize the discrepancy explored by the discriminative network D. Through integrating the generative adversarial loss and the perceptual adversarial loss, D and T can be trained alternately to solve image-to-image transformation tasks. Experiments evaluated on several image-to-image transformation tasks (e.g., image de- raining and image inpainting) demonstrate the effectiveness of the proposed PAN and its advantages over many existing works.
Portfolio
Charudatta's blog, hosted on GitHub, features a collection of insightful articles and musings. Charudatta, an AI-ML engineer from India, delves into topics like privacy, data security, and GANs. With a focus on open source and a penchant for learning, Charudatta shares valuable insights and experiences. Explore the blog here ¹. 📚🔗
readme-generator
Generate readme for github repos
Task_Manager
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