Bioinformatis

1day-notebooks

2021_QSARcovid

Небольшой проект с попыткой найти что-то нормальное среди молекул

Acute-Toxicity-QSAR

Predictive Models for Acute Oral Systemic Toxicity.

adversarial-learning-robustness

Contains materials for workshops pertaining to adversarial robustness in deep learning.

code

Compilation of R and Python programming codes on the Data Professor YouTube channel.

ComputationalBio-Informal

2-1 Informal SOP under Aduri Sir. Based on Computational Biology and Machine Learning

convolutional_neural_networks_essentials

Contains presentation deck and notebooks showcasing fundamental concepts and hands-on examples for Convolutional Neural Networks

data

kumpulan data

data_science_for_all

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

Practical-Machine-Learning-and-Image-Processing

Source Code for 'Practical Machine Learning and Image Processing' by Himanshu Singh

Bioinformatis/1day-notebooks

Bioinformatis/Acute-Toxicity-QSAR

Predictive Models for Acute Oral Systemic Toxicity.

Bioinformatis/ComputationalBio-Informal

2-1 Informal SOP under Aduri Sir. Based on Computational Biology and Machine Learning

Bioinformatis/convolutional_neural_networks_essentials

Contains presentation deck and notebooks showcasing fundamental concepts and hands-on examples for Convolutional Neural Networks

Bioinformatis/data_science_for_all

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

Bioinformatis/deep-rules

Ten Simple Rules for Deep Learning in Biology

Bioinformatis/deep_transfer_learning_nlp_dhs2019

Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019

Bioinformatis/DVA

Computational methods for drug re-positioning identify potential anti-virals treatments against COVID-19

Bioinformatis/explainable_artificial_intelligence

Slides, code and resources for model interpretation methods in machine learning and deep learning

Bioinformatis/feature_engineering_session_dhs18

Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better Machine Learning Models' where we look at two interesting case studies on how to effectively leverage feature engineering and use a structured approach to build good machine learning models. This is created for th

Bioinformatis/Generation-of-Novel-Drug-Molecules-with-Specific-Protein-Targets-Through-a-Graph-Network-and-Custom-

ABSTRACT Creation of novel drug molecules is a time consuming and expensive process. Current methods require manually synthesizing thousands of molecules to develop a single viable lead candidate. In silico prediction of drug–target interactions (DTI) is necessary for the development of new drugs. In this research, I developed a novel artificial

Bioinformatis/HERG-QSAR-Model

Bioinformatis/ML_QSAR-1

Applying machine learning models to QSAR problems

Bioinformatis/notebooks

Bioinformatis/OSM-QSAR

Classify ligands (drug-like chemicals) as potential drugs for use against Malaria and Schistosomiasis

Bioinformatis/parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

Bioinformatis/predicting-activity-by-machine-learning

Activity From Virtual Screening Code Repository

Bioinformatis/QSAR_Mixtures_ML

Application of different machine learning approaches to predict acute toxicity for binary chemical mixtures

Bioinformatis/QSARtoxicity

A work about molecular toxicity based on fingerprints

Bioinformatis/stanford-statistical-learning

Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey to finally try and complete this course after leaving it mid-way atleast 3-4 times due to other commitments!

Bioinformatis/TeachOpenCADD

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data