Jayant Toleti 's starred repositories
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
full-stack-RAG-app
building rag app using Langchain js and open ai apis
Amazon-apparel-recommendations
recommend fashion products based on the features extracted from image and text, using both distance based algorithms and collaborative filtering techniques.
Amazon-Fashion-Discovery
Apparel Recommendation
Amazon-Fashion-Discovery-Engine-content-based-recommendation
A Content-based Recommendation system from scratch which suggests similar products to the given product using NLP text-based model and deep learning visual similarity model.
Amazon-Fashion-Discovery-Engine
A content based recommendation system to recommend similar clothing based on data from amazon.com
Amzon-Product-Recommendation
Building Recommendation Model for the electronics products of Amazon
Product-Recommendation-using-DRL
Amazon Fashion Product Recommendation using Deep Reinforcement Learning
Optimizing-Production-Profitability-through-Deep-Reinforcement-Learning-Driven-Quality-Prediction
Reinforcement Learning, specifically Deep Q-Networks, was applied to semiconductor manufacturing data to efficiently identify substandard products, with a model optimized using the F1-Metric achieving 87% accuracy and a 22.4% time-saving, highlighting RL's potential in enhancing manufacturing processes.
Deep_Learning_for_Manufacturing
Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems
msc-thesis
Online Reinforcement Learning for Flight Control - Thesis Research
gym-jsbsim
A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model
Phyiscs-informed_Reinforcement_Learning
Novel Physics-informed approach to RL for physics-based control tasks
BDD-X-dataset
Berkeley Deep Drive-X (eXplanation) dataset
SUIM_Image_Segmentation_and_Classification
Research on Semantic Segmentation for Underwater Imagery (SUIM) using Swin Transformer, ConvMixer, and UNet architectures.
Underwater-Image-Segmentation-using-deep-learning
This project is developed in python and explores different yolo models, particularly yolo v5, v7, v8 in the area of underwater image masking and segmentation
SemanticSegmentationOfUnderwaterImages
Computer Vision project
Underwater-Image-Segmentation
This project is part of the Major Project done by Sai Krishna Anand, Pranav Vigneshwar Kumar and Rohith Saji at NITK Surathkal
UnderWaterU-Net
UnderWaterU-Net is a dedicated deep learning repository optimized for underwater image segmentation.
color-correction
A simple algorithm for underwater image color segmentation for object detection