Mobassir's Projects
predicting appendicitis disease using machine learning
A curated list of awesome Deep Learning tutorials, projects and communities.
banglish spell checker
Classify the components of handwritten Bengali....competition link : https://www.kaggle.com/c/bengaliai-cv19
i worked on this project during watching this tutorial of siraj raval : https://www.youtube.com/watch?v=giF8XoPTMFg&t=57s
Using Weka API This System Is developed for early detecting ovarian cancer and cervical cancer of a patient and to recommend when to approach nearby doctor for treatment, before they completely develop cancer.
android app to predict patients cervical cancer status,dataset for cervical cancer was collected from UCI repository
This software uses pre-trained vgg16 with U-NET convolutional neural network (CNN) architecture to recognise tuberculosis on chest x-rays with having model accuracy 97% and validation accuracy 88% and The model is trained on a Dataset of 800 images(which is very small dataset) from two sources Shenzhen and Montgomery respectively. the app is live here : https://chestscanner.cfapps.io/
Aiming to achieve ultimate Multilingual TTS pipeline with main focus on releasing COQUI🐸TTS(Text-to-Speech) based high performing neural voice cloning systems for Bangla for the first time, supporting different SOTA models for Bangla and also Multilingual (Arabic+Bengali) code mixed TTS pipeline.
Fundamentals of computer algorithms
The main aim of this repository is to find similarities between different religious scriptures. specially for Quran and Bible using NLP.
Practice/Demo Code for Some Interesting Deep Learning Problems
step by step process to learn how to deploy your trained TensorFlow 2.x models using Amazon SageMaker
A simple rest api using django for crosslingual sentiment analysis/toxic comment classification (NLP)
Efficient Autocorrect attempts to Split words that are not recognized by autocorrect (spell checker) into largest possible compounds
EDA
in this project i have prepared a simple fundriser web app using django.to run this project follow the steps below :
a simple project in Django that prints 'hello dear' in the browser
Kaggle housing price prediction solution
hands on tensorflow and deep learning works with google ai developers,link to the udacity course : https://classroom.udacity.com/courses/ud187
Hands on deep learning/neural network practice with professor andrew ng and google brain AI advocate "Laurence Moroney",link of this coursera course : https://www.coursera.org/learn/introduction-tensorflow#utm_source=email&utm_medium=dl.aiGeneralListCTA&utm_campaign=TFSC1Announcement
3 projects here, 1. Creating A Simple JSP Web Application. 2. Creating a JSP Web Application with a Form & 3. Creating A JSP Web Application That Inserts Data Into A Database.
code for kaggle competition,titled "RSNA Screening Mammography Breast Cancer Detection"
Jigsaw monolingual Toxic Comment Classification Experiments
learning ml algorithms through Kiril's udemy course,working with Kiril for learning algorithms using python
I've taken handwritten notes from Andrew ng's Machine Learning Course on Udemy (ref link : https://www.coursera.org/learn/machine-learning) and Some of professor ng's stanform university classes lectures (ref link : https://www.youtube.com/watch?v=UzxYlbK2c7E&list=PLA89DCFA6ADACE599).
in this repository frequently i will be uploading my collection of machine learning/deep learning/natural Language Processing based research papers i am highly interested in
About me :)