Tej Partap Singh's repositories
DeeplabV3-
This is Keras implementation of Deeplab V3+ model for semantic segmentation. This is based on the paper [Chen, L. C., Zhu, Y., Papandreou, G., Schroff, F., & Adam, H. (2018). Encoder-decoder with atrous separable convolution for semantic image segmentation. arXiv preprint arXiv:1802.02611.]
grocery_list
A web application that let user create/ edit a grocery list. The application has a single page frontend designed with React and backend designed with Django.
Image-Blur-Detection
This is a kersa implementation of Image-Blur-Detection using deep learning
Kaggle-Titanic-Implementation
Keras Implementation
lets-get-job-frontend
Frontend for a web application that helps a job aspirant to keep track of things to get a job.
SegNet-Keras-Implementation
This is implementation of SegNet-A dense segmentation network which uses maxpooling indices instead of whole encoder values for segmentation.
Unsteady-State-heat-conduction-problem
Finite Difference Method-Unsteady state
Bomb
This is the solution to an assignment.
chat-application-using-django
This is a chat app developed in django framework and also uses a little bit of AJAX
Debit-Machine-using-STM32L432KC
A prototype implementation of a debit machine whose code was written in C using Stm32Cube development toolchain. The functionality was built around a state machine design where each stage represented an action being performed by the user(Eg: Enter Pin) in response to which the system transitioned from one state to other(Eg: Move to state Transaction successful or Transaction declined)
embedded-quiz
Quiz Submission for Embedded Software Engineer position.
LSTM-Diesel-Price-Prediction
This is Keras implementation of Diesel price prediction using LSTM. The model takes in input data from previous 90 days and predicts price for the next day
Patch_Maker
This repo makes patches of given image.
Pathfinder
This program finds the shortest path between two nodes selected on a graph. This is a conglomeration of various datastructures and algorithms ranging from vector to maps and priority queues. The two main algorithms used in this program are Dijkstra's algorithm to find shortest path between two points and Kruskal's algorithm to draw the minimal spanning tree for the map.
tensorflow-deeplab-lfov
DeepLab-LargeFOV implemented in tensorflow
Understanding-clouds-from-satellite-images
This is a repo of my code for the competition hosted on Kaggle _ Understanding clouds from satellite images
webdev-challenge
To better gauge your skills as a web developer, we would like you to complete the following challenge.