Manish Yadav's Portfolio on Github.io
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Updated
May 15, 2023 - HTML
Manish Yadav's Portfolio on Github.io
Complex Network Analysis using Machine Learning
R package associated with paper "Component response rate variation underlies the stability of highly complex finite systems" (Duthie, AB. 2020. Sci. Rep. 10:8296, https://www.nature.com/articles/s41598-020-64401-w). This repository contains all manuscript text and supplemental information, and all code for recreating analyses.
SUTD Class of 2022 Teammate Retention Rate Study
Here you can find material for the workshop on network science and its applications in biology and medicine taught in MSc on Bioinformatics, University of Crete
Mirror of the py3plex project (https://py3plex.readthedocs.io/en/latest/)
Resources for the book "Complex Networks: A Networking and Signal Processing Perspective"
Lecture material for part (4/12) of the lecture **Network Dynamics & Complex Systems - Theoretical and Computational Tools** given during winter semester 2016/17 at Georg-August-Universität Göttingen
Complex Network Analysis Using Machine Learning
ICML 18 workshop - Evolutionary Strategy Gradient Decent for Designing Gene Circuit
Graphs and passing networks in football.
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