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java_atm-machine

ATM machine written in Java, with interface.

java_practice

Java OOP VendingMachine Items

java_practice-it

This is for online practice questions from http://practiceit.cs.washington.edu/practiceit/index.jsp

learncplusplus

C++ assignments from Programming Fundamentals class

learning-notes

Notes on books I read, talks I watch, articles I study and papers I love

lprnet_pytorch

Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.

machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

medsegdiff

Medical Image Segmentation with Diffusion Model

miccai2019-opensourcepapers

MICCAI 2019 Open Source Papers

ml_all.ipynb

All python notebooks

object-oriented-programming-lab-solutions

This repository contains the solutions to the labsheets and the labtests of the course Object Oriented Programming in BITS Pilani. All the codes are written in JAVA.

online-resume_zhoujingchun03

Online Resume

plain-academic

A truly simple website template for academics

practical-ml-w-python

Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

python-mini-projects

A collection of simple python mini projects to enhance your python skills

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

sacm

salbenchmark

Salient Object Detection: A Benchmark

self-driving-car-sim

A self-driving car simulator built with Unity

solomon-breckon-book

Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab - Solomon / Breckon, 2010

speed-estimation-of-vehicles-with-plate-detection

The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed b

text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

top-universities

understand-dl-book

Understanding Deep Learning - Simon J.D. Prince

uni-notes

:mortar_board: Sunway University BSc in CS notes :memo: (201701 intake)