Kuldeep is a deep learning researcher at AIRA Matrix, applying computer vision to advance digital histopathology. His work focuses on image segmentation and domain generalization challenges, leading to robust algorithms for detecting anomalies and artifacts in the whole slide images. During his master's (by research) at IIT Hyderabad, he also explored the intersection of compilers and deep learning to enhance code comprehension and binary similarity, reflecting a strong interdisciplinary approach. With a solid foundation in Python and machine learning, he is now keen to explore more in the domains of computer vision and NLP.
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Indian Institute of Technology, HYD
- Hyderabad, Telangana
- https://kgautam01.github.io
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CodeForces-Scraper
CodeForces-Scraper PublicSelenium-Python-based scraper for scraping the source codes and other information of the problems.
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Automated-Essay-Scorer
Automated-Essay-Scorer PublicDeep learning & NLP based project, using word2vec model for creating word embeddings and using it to feed to LSTM neural network to predict the essay score awarded to a student.
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Kaggle-Competitions
Kaggle-Competitions PublicThis repo contains solutions to basic classification and regression-based Kaggle competitions. The projects were done in early stages, organized now into a single repository.
Jupyter Notebook
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Method-Name-Preprocessor
Method-Name-Preprocessor PublicThis repo contains trie-based implementation for preprocessing the incomplete/abbreviated method names to replace the originals with more meaningful ones.
Python
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DNN-Based-Face-Detection
DNN-Based-Face-Detection PublicA Deep Neural Net-based face detection project, making use of Caffe implementation of resnet10 architecture to detect the faces in the images, videos, or using a webcam with good accuracy.
Python 2
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