https://github.com/animesh/dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
https://github.com/animesh/deepqmc
Deep learning quantum Monte Carlo for electrons in real space
https://github.com/animesh/deepcell-tf
Deep Learning Library for Single Cell Analysis
https://github.com/animesh/deepdia
Using deep learning to generate in silico spectral libraries for data-independent acquisition analysis. You can also use the online service powered by Omicsolution.
https://github.com/animesh/decoupler
R package to infer biological activities from omics data using a collection of methods.
https://github.com/animesh/data_compression_course
A crash course on Data Compression.
https://github.com/animesh/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.
https://github.com/animesh/cpt
Cross-protein transfer learning for variant effect prediction
https://github.com/animesh/covidpred
Machine Learning-based prediction of COVID-19 diagnosis based on symptoms
https://github.com/animesh/covid-sim
This is the COVID-19 CovidSim microsimulation model developed by the MRC Centre for Global Infectious Disease Analysis hosted at Imperial College, London.
https://github.com/animesh/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
https://github.com/animesh/clusterprofiler
:bar_chart:statistical analysis and visualization of functional profiles for genes and gene clusters
https://github.com/animesh/ci-analysis-minimal-example
A minimal example of a data analysis using continuous integration via Github actions