shailesh-05 Goto Github PK
Name: Shailesh Nanisetty
Type: User
Company: University of Toronto
Bio: Ardent AI Enthusiast. Optimist. 2nd Yr CS Grad @UofT. Ex- IITKGP
Location: Toronto, Ontario, Canada
Shailesh Nanisetty's Projects
nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
object-detection-electric-meter-images
Built an Object Detection model using SSD Mobilenet V2 320x320 and YOLOV5 respectively to predict bounding boxes (region of interest) and further used it to extract readings (digit recognition) from the electric meter images.
predictive-process-mining-using-clustering-techniques
Built a hybrid framework of clustering and supervised algorithm for classifying the process data of patients in a hospital.
procnets-youcook2
Source code for paper "Towards Automatic Learning of Procedures from Web Instructional Videos"
shailesh-05-predicting-house-prices-using-advanced-regression-techniques-and-ann-kaggleproject
Hi Guys.I am deep learning enthusiast and like to apply my learnt knowledge by solving practical problems.
shailesh-05.github.io
My personal website
shailesh-s-website
Code that'll help you kickstart a personal website that showcases your work as a software developer.
simsr-deep-reinforcement-learning
AAAI-22 paper: SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning
single-network-panoptic-segmentation
Single Network Panoptic Segmentation for Street Scene Understanding
supervised-learning-with-spiking-neural-networks
Building a Spiking Neural Network (SNN) based model to predict real time frequency based data of Blood Pressure and other biometric measures.
table-transfor
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.
text-prompted-3dgs-segmentation
Unofficial implementation of Segment Anything in 3D Gaussians, with the added functionality of text prompting and multi-view prompt initialization.
titanic-disaster-passenger-survival-classification
Building a binary classifier for predicting whether the passengers of Titanic ship are going to survive the disaster or not.
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