Saroj Bhattarai's repositories
ElectionPortal
Discover everything election! This Repo is committed for providing free, comprehensive, standardized, linked set of election data. Simple, authentic, faster.
finding_lanes
A project to find lanes of the road by python using OpenCV. A beginning step towards Machine Learning.
6.824-lecture-notes
6.824 Distributed Systems: Lecture notes (edited a little and formatted with Markdown)
Ai-in-enterprise
Only for durham assignment
AI-WinterSchool
Comprises of various lecture slides, papers, practical notebooks used during AI Winter school, organized by NAAMII at Pokhara, Nepal from December 10, 2019 to December 20, 2019.
classof2020.github.io
Website of the Class of 2020.
Classroom-Attendance-System-Utilizing-Viola-Jones-for-Face-Detection-and-LBPH-for-Face-Recognition
The face of a human is crucial for conveying identity. Computer scientists, Neuro scientists, and psychologists, all exploits this human feature using image processing techniques for commercial, and law enforcement applications. Likewise, this feature can be invited into classrooms to maintain records of students’ attendance. Con- temporary traditional way of recording attendance involves human intervention and requires cooperation of the students which is hectic and contribute towards waste of class time. An automated real-time classroom attendance system detects students from still image or video frame coming from a digital camera, and marks his/her attendance by recognizing them. The system utilizes Viola–Jones object detection framework which is capable of processing images extremely rapidly with high detec- tion rates. In the next stage, the detected face in the image is recognized using Local Binary Patterns Histogram.
Python-Self-Practice-
Practice of python programming and implementation of knowledge of python.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Election-Portal-Webapp
Django based web app to digitize election activities in Nepal.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
To-Do-App
To Do App using vanilla Javascript