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asko

Asko is a simple and minimalistic jekyll blogging theme.

awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

chapters

Perspectives on Data Science for Software Engineering

cnn-wpdp-appsci2019

dataset-CNN-WPDP_APPLSCI2019

covid-19

COVID-19 Drug Prediction

cpdp-slr

crispr-off-target-data-imbalance

cskyan.github.io

Personal Academic Website

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc

deeplearning

Deep Learning ABC

deeppurpose

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

dl-based-android-malware-defenses-review

Deep Learning for Android Malware Defenses: a SystematicLiterature Review

dl-based-intelligent-diagnosis-benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

dp

drugbank

User-friendly extensions of the DrugBank database

dti-cdf

A help file for DTI-CDF for DTIs prediction.

dti-mlcd

Predicting drug-target interaction using multi-label learning with community detection method (DTI-MLCD)

eaposter

Effort-aware ICSE2018 poster scripts and data

fair-smote

GitHub repo for FSE 2021 Paper - ``Bias in Machine Learning Software: Why? How? What to do?''

fairmetacbr

Fairness AND Meta Attributes AND Case-based Reasoning

fairness_metrics

Fairness Metrics: All you need to know

fairway

This repository contains the source code for ESEC/FSE 2020 Paper - ``Fairway: A Way to Build Fair ML Software''

hands-on-deep-learning-algorithms-with-python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

inconsistentlabels

jekyll-theme-dumbarton

Dumbarton is a Jekyll Theme developed by Tyler Butler. The theme is designed for academics and features a simple home page with an about me section, a blog, and an interactive highlights section to describe publications, coursework, courses taught, and projects. UI design with Bootstrap and Animate CSS. Dumbarton is not compatible with Github Pages at this time.

jmcglone.github.io

Data for jmcglone.com. Includes customization of Bootstrap 3.0. Blog and pages generated by Jekyll. Hosted on GitHub.

lrf-dtis

Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure

machine-learning-book-collections

Machine learning is the study and development of data-driven strategies to enhance task performance. AI includes it.