Owaiskhan9654

Clinical-Trial-Article-Search

Search using Attention based Sentence Transformers

Covid-19-Prognosis

Early diagnosis is the single most important factor when determining any disease outcomes. Two thirds of diseases can be cured if diagnosed early. Canary uses proven biomarkers and proprietary Nano Sensors to map and uncover hidden data in your breath, so Covid-19,Cancers and other diseases can be detected early and treated more successfully.

Gene-Sequence-Primer-

Gene and Primer Sequence Analysis for SARS-CoV-2, EGFR(Non Small Lung Cancer Cell), Influenza DNAs ### How can I check my Oligo primers to ensure there are no significant primer design issues? - The difference between melting temperatures (Tm) of the primers should be less than 5°C. - The GC content should be between 35-80% or equivalent to the product being amplified. - The Delta G value of any self-dimers, hairpins, and heterodimers should be weaker (more positive) than -9.0 kcal/mole. Positive numbers indicate that the actual secondary structure shown will not form at all. - Avoid 3' complementarity between the two primers to prevent primer dimers. The IDT OligoAnalyzer APIs can be used to assess these different criteria for a proposed oligo. #### [Reference](https://sg.idtdna.com/pages/support/faqs/how-can-i-check-my-pcr-primers-using-the-oligoanalyzer-program-to-ensure-there-are-no-significant-primer-design-issues-)

Hierarchical-Multi-Label-Text-Classification

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

Multi-Label-Classification-of-Pubmed-Articles

The traditional machine learning models give a lot of pain when we do not have sufficient labeled data for the specific task or domain we care about to train a reliable model. Transfer learning allows us to deal with these scenarios by leveraging the already existing labeled data of some related task or domain. We try to store this knowledge gained in solving the source task in the source domain and apply it to our problem of interest. In this work, I have utilized Transfer Learning utilizing BertForSequenceClassification model. Also tried RobertaForSequenceClassification and XLNetForSequenceClassification models for Fine-Tuning the Model.

owaiskhan9654

This repo contains my achievements and tracks my progress and contributions to open source community

Owaiskhan9654.github.io

Sony-R.I.S.E-India-Hackathon-3rd-Place-Solution

Recent Sony RISE Research Team India organized and this is my Solution in which I secured 3rd Position. Recommender systems are among the most popular applications of data science today. They are used to predict the "rating" or "preference" that a user would give to an item. In this Challenge I have computed and extracted several Features in order to Build this Hybrid Collaborative Recommender System

Team-PYPI-Blue-sky-challenge-HackerEarth-Hackathon-

Yolo-V7-Custom-Dataset-Train-on-Kaggle

Owaiskhan9654/BERT-FINE-TUNING

BERT, stands for Bidirectional Encoder Representations from Transformers, is a Neural Network based technique for Natural Language processing pretraining .The breakthrough of BERT is in its ability to train language models based on the entire set of words in a sentence or query (bidirectional training) rather than the traditional way of training on the ordered sequence of words (left to right or combined left to right and right to left). BERT allows the language model to learn word context based on surrounding words rather than just the word that immediately precedes or follows it.

Owaiskhan9654/COVID19_VISUALIZATION

This is a visualization of spread of Corona Virus Till 21st may using Pyplot Lib. I have use DataSet from Kaggle . If you want to future data please download it from Kaggle

Owaiskhan9654/Discrete-Time-Markov-chains-on-Genotype-Evolution

"The System only remembers its history from previous unit of time". I have tried to implement Genotype Evolution Model in python. I have taken the Genotype probability Matrix from the book Modeling and Analysis of Stochastic Systems by V.G Kulkarni .Example 2.14 on page 24.

Owaiskhan9654/Dropout-in-Neural-Networks

Deep NNs with large number of parameters are powerful machine learning systems. But overfitting is a serious problem in these networks. These NNs are slow to use, making difficulties to deal with overfitting by combining the predictions of different large NNs at testing time. Dropout could be a technique to manage these problems.

Owaiskhan9654/fastdvdnet

FastDVDnet + Docker + Jupyter Notebook + Colab

Owaiskhan9654/Hierarchical-Multi-Label-Text-Classification

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

Owaiskhan9654/HumanActionRecognition_with_ErgonomicRisk

Owaiskhan9654/Keras-Group-Normalization

A Keras implementation of https://arxiv.org/abs/1803.08494

Owaiskhan9654/MACH

Extreme Classification in Log Memory via Count-Min Sketch

Owaiskhan9654/ML_DL-Tutorials

Supplementary Machine Learning and Deep Learning tutorial sessions with code to AMMI program 2019-2020 cohort.

Owaiskhan9654/Movies-Product-and-Restaurants-Reviews-implementing-BAG-of-Word-Model

In this code I am going to use Movie Reviews text,Amazon Reviews and Restaurants reviews. and I am going to implement bag of word model and develop a model that will help in predicting weather a review is good or bad.

Owaiskhan9654/natural-language-processing

Codes, datasets, and explanations for some basic natural language tasks and models.

Owaiskhan9654/Natural-Language-Processing-BASICS-

This code is to understand basics concept of NLP .

Owaiskhan9654/Owaiskhan96

Owaiskhan9654/Principle-Component-Analysis

Owaiskhan9654/Python-for-Signal-Processing

Notebooks for "Python for Signal Processing" book

Owaiskhan9654/SMS_SPAM_CLASSIFIER

I have used techniques from NLTK Library and implemented them in this Spam classifier

Owaiskhan9654/SSD-Tensorflow2.0

A Tensorflow2.0 implementation of Single Shot Detector

Owaiskhan9654/Testing-Singular-Value-Decomposition-SVD

I have taken 2X2 Matrix and tried to implement it explicitly without Linalg.SVD Library. Results are not Exactly same when compared with using Linalg.SVD Library Because of some error.

Owaiskhan9654/vector_engine

Build a semantic search engine with Transformers and Faiss

Owaiskhan9654/vtest

Owaiskhan9654/word2vec

word2vec is a pretrained model which helps in word embedding.word2vec model contains 2 methods mainly i.e continuous Bag of Word and SkipGram models

Owaiskhan9654/X-Transformer

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

Owaiskhan9654/cognitensor-test

I am Uploading 2 folders,File Upload React Flask Module and Flask owais Backend Module . File upload React Flask Module contains the way how to upload the file in react and do preprocessing on it in flask.What I want to you to do is to create a similar method with ARES UI so that once the file gets uploaded it will come to the server side.... and after that I will be able to implement Flask Owais Backend there.

Owaiskhan9654/generic-sku-detection-benchmark

Benchmark and Leaderboard for Generic SKU Detection

Owaiskhan9654/test2

Owaiskhan9654/web-wav-converter

MP3 to WAV audio converter (web app)