JayantToleti

JayantToleti's Stars

• DopplerHQ/awesome-interview-questions

  :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

  71.5k1.7k628.9k

• Gor-Ren/gym-jsbsim

  A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model

  Language:Python178131587

• JinkyuKimUCB/BDD-X-dataset

  Berkeley Deep Drive-X (eXplanation) dataset

  104431

• LaxmiChaudhary/Amzon-Product-Recommendation

  Building Recommendation Model for the electronics products of Amazon

  Language:Jupyter Notebook925066

• sumitsinha/Deep_Learning_for_Manufacturing

  Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems

  Language:Jupyter Notebook426213

• marcointrovigne/WeatherDetection

  Language:Python15210

• dave992/msc-thesis

  Online Reinforcement Learning for Flight Control - Thesis Research

  Language:Jupyter Notebook9000

• HossamEldinx/full-stack-RAG-app

  building rag app using Langchain js and open ai apis

  Language:JavaScript95

• seanny1986/gym-aero

  OpenAI gym environments for learning flight guidance, navigation and control tasks using reinforcement learning

  Language:C73

• mangeshingle/Amazon-Fashion-Discovery-Engine

  A content based recommendation system to recommend similar clothing based on data from amazon.com

  Language:Jupyter Notebook6104

• itsjacobhere/Phyiscs-informed_Reinforcement_Learning

  Novel Physics-informed approach to RL for physics-based control tasks

  Language:Jupyter Notebook5201

• sagniknitr/color-correction

  A simple algorithm for underwater image color segmentation for object detection

  Language:C++5202

• janmayer15/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.

  Language:Jupyter Notebook4

• ioannispol/UnderWaterU-Net

  UnderWaterU-Net is a dedicated deep learning repository optimized for underwater image segmentation.

  Language:Python31152

• MustaphaDG/Semantic-Segmentation-of-Underwater-Images-A-Deep-Learning-Approach

  Language:Jupyter Notebook3

• Swetadas-1718/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.

  Language:Jupyter Notebook30

• kelesit/FinQA

  LLM finetuning for finance QA

  Language:Python2

• SanikaParanjpe/SemanticSegmentationOfUnderwaterImages

  Computer Vision project

  Language:Jupyter Notebook2

• vibhu12345/Product-Recommendation-using-DRL

  Amazon Fashion Product Recommendation using Deep Reinforcement Learning

  Language:Jupyter Notebook210

• 2003UJAN/Semantic-Segmentation-of-Underwater-Imagery-using-YOLOv8

  Language:Jupyter Notebook10

• abhinay141/Amazon-apparel-recommendations

  recommend fashion products based on the features extracted from image and text, using both distance based algorithms and collaborative filtering techniques.

  Language:Jupyter Notebook10

• Cicil-denny/SUIM_Image_Segmentation_and_Classification

  Research on Semantic Segmentation for Underwater Imagery (SUIM) using Swin Transformer, ConvMixer, and UNet architectures.

  Language:Jupyter Notebook1

• desilva23/Underwater-Image-Segmentation-using-YOLO-V8

  Language:Jupyter Notebook1

• kanmani143/Exploratory-Data-Analysis-Olympics-Data-2024

  Language:Jupyter Notebook1

• Khalid-Metwally/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

  Language:Jupyter Notebook1

• SaiKrishna1207/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

  Language:Python1100

• sharduldabhane/B_657_Computer_Vision_Project_Semantic_Segmentation_of_Underwater_Images

  Language:Jupyter Notebook1

• sradheya99/Amazon-Fashion-Discovery

  Apparel Recommendation

  Language:Jupyter Notebook1

• sujithkumar2003/Underwater_Image_Segmentation_and_Detection

  Language:Jupyter Notebook1

• TiwariLaxuu/RL_Papers_Finance

  1100