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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.Yolo-V7-Custom-Dataset-Train-on-Kaggle
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-)owaiskhan9654
This repo contains my achievements and tracks my progress and contributions to open source communitySony-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 SystemTeam-PYPI-Blue-sky-challenge-HackerEarth-Hackathon-
Utilizing-BioBERT-for-PICO-Evidence-Summarization
Statistical-Inference-Multivariate-Techniques-Python-Implementation
Python ImplementationWeb-Scraping-from-Used-Car-website-in-UAE-Region
Here I am Scraping data from https://www.drivearabia.com/ and this code is in sync with the website currently (FEB 2023).subject_verb_object_extract
Autogen-Kaggle
Search-using-Corpus-embeddings-Generated-from-Sentence-Transformers-and-BM25-Gene-Score-BRAF-V600E
PelicanV3
PigeonXT-Custom-Satellite-images-labelling
test222
tests
BIOASQ-Task-9A-Elastic-Search-Indexing
In BIOASQ TASK 9A total Number of articles present are 15,559,157 which is around 25.6 GB in size and Total Number of MeSH Covered in These articles are 29,369Training-of-EEG-Schizophrenia-Disorder-using-CNN-
Pandas-Profiling-on-Credit-card-lead-prediction-dataset
Owaiskhan96
Clinical-Trial-Article-Search
Search using Attention based Sentence TransformersPDF_EXTRACTOR
PDF EXTRACTORDistilled-Bert-Search-using-Attention-based-Sentence-Transformers
PICO-CLASSIFIER
object-detection-cognitensor
Owaiskhan9654.github.io
Principle-Component-Analysis
Wobb-Text-Based-Image-Recommendation1
PDF-EXTRACTOR-PARSER-For-Client
Hacker-Earth-India-Automobile-Hackathon-by...Mitsubishi-Co-
Natural-Language-Processing-BASICS-
This code is to understand basics concept of NLP .DigiGene-Live-Feed
Lux_PM_DATA_Science-INterview-Assignment
Cogniternsor-Project
All the modules are working fineLung-Cancer-AI
Amazon-Business-Research-Analyst-Hiring-Challenge
Pandas profileDigiGene
test
vtest
Networth-Corp-Assignment-Submission-Owais-Ahmad
Pelicanv2
COVID-XRAY
COVID XRAY IMAGE CLASSIFICATION USING DEEP LEARNING TECHNIQUES AND OTHER COMPLEX DEEP NEURAL NETWORKSCOVID19_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 Kagglet6est22
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.EagleView-Custom-Object-Detection
The-Mad-Dresser-
SMS_SPAM_CLASSIFIER
I have used techniques from NLTK Library and implemented them in this Spam classifierPelican-API-for-data-Processing-Canary-Global
This Repository is a small API which is created to find the difference in C1 raw and T1 raw. this will ensure that specific Gaussian Peak of width 2 is present in both the signals else it will return all other kind of random signal Data as Inconclusive. Keeping in mind this HTTP API is Specifically created to be integrated into flutter application.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.BERT-Q-A
The main idea of this project is of Transfer Learning. Bert large 24 encoder Questions Answering model was fine tuned on specific task of Questions Answering. Currently for Demo purposes it is Hosted on free Heroku platform. Please take a moment to catch up the twisting idea.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.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 modelsDiscrete-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.Happy-Monk
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.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.Love Open Source and this site? Check out how you can help us