Name: shivakrishna karnati
Type: User
Company: Hochschule Mittweida
Bio: Applied Mathematics student, a Machine Learning enthusiast, and worked as a software developer.
Location: Mittweida, Germany
Blog: https://www.student.hs-mittweida.de/~skarnati/index.html
shivakrishna karnati's Projects
This repository contains multiple object detection models, try to detect the custom objects in the environment. Here the video is recorded in ".mcap" file from ros-humble.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Hypothesis Test, One sample and Two sample tests, 1-Way-ANOVA, 2-way-ANOVA, 3-Way-ANOVA
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Find the Python code for specified symbols
The task at hand is a machine learning project that aims to make predictions on the taxi fares during peak times in New York City. This particular project was the subject of a Kaggle competition back in 2018, and further details can be found through the following link. https://www.kaggle.com/competitions/new-york-city-taxi-fare-prediction/overview
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
The Ultimate FastAPI Tutorial
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
Codes to complement YouTube videos and blog posts on Medium.