ashuein
I work in the area of Computational Biology and Mathematical modelling as a PhD student. Writing codes and watching computers obey you is an awesome experience
Indian Institute of Technology, New DelhiNew Delhi, India
Pinned Repositories
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-math
A curated list of awesome mathematics resources
awesome-network-analysis
A curated list of awesome network analysis resources.
awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
biotools
A list of useful bioinformatics resources
choose
A human-friendly and fast alternative to cut and (sometimes) awk
Cluster_Ensembles
A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a consensus clustering is reformulated in terms of approximation algorithms for graph or hyper-graph partitioning.
ClusterEnsembles
A Python package for cluster ensembles
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
ashuein's Repositories
ashuein/deeplearning-biology
A list of deep learning implementations in biology
ashuein/iterativeWGCNA
Extension of the WGCNA program to improve the eigengene similarity of modules and increase the overall number of genes in modules.
ashuein/bdr
Perform bayesian distribution regression
ashuein/2017-DSGRN-IdentifyingRobustHysteresisInNetworks
ashuein/keras-gcn
Keras implementation of Graph Convolutional Networks
ashuein/ising-model
Modeling Ising Models onto Pandas dataframes and applying Monte Carlo Algorithms to predict system behavior
ashuein/graph-based-nn
Graph Convolutional Networks (GCNs)
ashuein/semi-supervised-graph-based-classification
A collection of semi-supervised graph-based classification models in Python
ashuein/heuristic_optimization
Heuristics for derivative-free optimization
ashuein/FiraCodeiScript
Mashup Font of FiraCode and Script12
ashuein/pygtrie
Python library implementing a trie data structure.
ashuein/proximity
Drug-disease proximity based therapeutic effect screening and analysis
ashuein/ModuleExtraction
ashuein/MDplot
MDplot: Visualise Molecular Dynamics
ashuein/uniprot
retrieve protein sequence identifiers and metadata from http://uniprot.org
ashuein/Redundant-Mutually-Connected-Giant-Component
ashuein/CommunityDetection
Community detection in graphs (Stochastic block model, Bethe Hessian, Spectral clustering)
ashuein/Network-Algorithms
Mathematical algorithms developed in python
ashuein/complex_network
The source code involved in complex network analysis.
ashuein/RNASeq_Trinity_Tuxedo_Workshop
materials for the RNA-Seq workshop on Trinity and Tuxedo, covering de novo and genome-guided transcript assembly and downstream analysis.
ashuein/planetoid
Semi-supervised learning with graph embeddings
ashuein/python-backbone-network
Extracting the multiscale backbone of complex weighted networks (Serrano et al. 2009)
ashuein/fastviz
Fast filtering and animation of large dynamic networks
ashuein/GalaxyFill
A program for filling up the missing part of protein structure
ashuein/langchangetrack
Package for Statistically significant linguistic change
ashuein/py-must-watch
Must-watch videos about Python
ashuein/Gene4x
Community detection on gene multiplex
ashuein/rnaseq_tutorial
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.
ashuein/vecpy
Vectorizing Python for concurrent SIMD execution.
ashuein/PyGNA
We aim to develop a transformative computational method for automatic discovery of a set of dynamical rules that best captures both state transition and topological transformation in the data of spatio-temporal evolution of a complex network.