Md Abrar Jahin's Projects
Academic webpage of Md Abrar Jahin.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
A collection of awesome readme templates to display on your profile
It contains all important notebooks which will help to learn the basics of Python
Bangla NLP toolkit.
I have run Python 3 code on Jupyter, it's a function ciphertext=encryption(plaintext, key).
Cash Flow Forecasting Challenge held in 2020 on the popular TopCoder hackathon platform. I created my ML forecasting model using Python SciPy libraries. The step-by-step guide from data exploration to analysis has been shown in the notebook.
Google Android Development Challenge 2021 is back again. This is my first-time project submission for the Android Dev Challenge 2nd week task of creating a CountDown App using JetPack Compose with Android Studio Canary Build.
HackerEarth Machine Learning challenge: Love is love competition submission [Position: 31st]
The method of finding hash values and brute-forcing a hash function has been shown.
This is the first project to be completed in Upskill ISA Intelligent Machines. The project was done after the end of the competition. The XGBClassifier used in this model obtained 0.950844 public scores on Kaggle.
Upskill ISA (Income Sharing Agreement) collaborated with Intelligent Machines offering a "Machine Learning Course" where only 39 shortlisted candidates are provided with the opportunity to take this course for free. The assignments of this course completed by me are uploaded in this repository.
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam
Machine Learning with Python Track Datacamp
On 16th December, the Bangladeshis celebrate Victory Day as they achieved victory in the war of independence of 1971 on this date. As a tribute, I complied a code visualizing the map of Bangladesh.
Repository containing monthly challenges about quantum computing.
A machine learning model after detailed image processing applications that classifies a bee as either honey bee or bumble bee
I've made a project on Python using OpenCV that is CCTV Camera Software. To run this source code on the compiler, firstly make sure that the OpenCV is installed using !pip install OpenCV-python. Then importing cv2, time, win32gui, win32con the codes can be run successfully. After running this code, it'll ask for the intention. Press '1' to check the CCTV camera running background. Then just clicking the 'Esc' button can stop it or 'm' to minimize the window.
My Machine Learning Model got the accuracy of 87.38717% in the "HackerEarth Machine Learning challenge: Pet Adoption Hackathon" and my position was 401st among 24375 accepted submissions.
Qiskit Textbook (beta)