Arun Sagar's repositories
TableNet-pytorch
Pytorch Implementation of TableNet
Siamese-Neural-Networks-for-One-shot-Image-Recognition
One Shot Learning Implementation
Instacart-Market-Basket-Analysis
End to End case study based on Kaggle problem.
Udacity-SCND-Programming-a-Real-Self-Driving-Car
Capstone Project : In this project, we implement a Real Self Driving Car in python to maneuver the vehicle around the track while following the traffic rules.
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
Basic-Deep-Learning-Projects
This is a practice repository, where i upload all my basic deep learning projects
BERT-keyphrase-extraction
Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10
data
Data and code behind the articles and graphics at FiveThirtyEight
Instance-Segmentation-using-PixelLib
A streamlit based webapp to perform SOTA instance segmentation on images, videos and live webcam feed
LeetCode-Submissions
My solutions for Leetcode questions
mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Neural-Style-Transfer
This Project uses transfer learning on pretrained VGG19 model to generate fusion of 2 images
streamlit-yolov7
Display predicted Video, Images and webcam using YOLO models (YOLOv7 & YOLOv8) with Streamlit
Udacity-SCND-Path-Planning-Project
Project - 7: In this Project we build a behavior planner which decides which lane is best on highway and navigate through the traffic
Udacity-SCND-PID-Control-Project
Project 8 - In this project we will implement a PID Controller in C++ to maneuver the vehicle around the lake race track.
Udacity-SDCND-Kidnapped-Vehicle-Project
Project 6: This project uses Particle Filter Algorithm to effectively localize the Vehicle.
Video-Analytics-Dashboard
Video Analytics dashboard built using YoloV5 and Streamlit
Yolo-Interface-using-Streamlit
A web interface for real-time yolo inference using streamlit. It supports CPU and GPU inference, supports both images and videos and uploading your own custom models.