nikhilvenkatkumsetty

Nikhil Venkat Kumsetty's repositories

TrashBox

Dataset of trash objects for waste classification and detection

Financial-Time-series-analysis-for-High-Frequency-Trading

Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market. In the field of High-Frequency Trading (HFT), forecasting for trading purposes is even a more challenging task since an automated inference system is required to be both accurate and fast. In this project, we have implemented a shallow-architecture methodology for the forecasting of financial time-series data, which gives state-of-the-art results. This architecture has been trained and tested on the benchmark Limit Order Book(LOB) FI-2010 dataset, and the corresponding results are compared and analyzed using a variety of measures.

Language:Jupyter NotebookMIT1300

TrashBox-testandvalid

Dataset of trash objects for waste classification and detection

600

Building-Damage-Detection-and-Classification-using-Deep-Learning

Language:Jupyter Notebook2 10

Salient-object-detection-using-MST

Language:C++200

E-commerce-application

MERN stack web application

Language:JavaScript100

Employee-Appraisal-Management-System

Mean stack web application to perform CRUD operations on employee database and on appraisal details

Language:TypeScript100

Mitigating-Unfairness-and-Bias-in-Cold-Start-Recommenders

to study bias and fairness in recommender systems have focused on improving fairness and mitigating bias only in situations and for items where a history of the user profile already exists. In this project, we explore the bias against new items without any feedback history which are added to recommender systems.

Language:Jupyter Notebook100