https://github.com/animesh/ngless • Science 13%

NGLess: NGS with less work

https://github.com/animesh/ngsngs • Science 13%

NGSNGS: Next generation simulator for next generation sequencing data

https://github.com/animesh/nf-encyclopedia • Science 13%

A NextFlow pipeline for chromatogram library DIA proteomics workflows

https://github.com/animesh/nextdenovo • Science 23%

Fast and accurate de novo assembler for long reads

https://github.com/animesh/neural-structured-learning • Science 10%

https://github.com/animesh/neighborhood-attention-transformer • Science 10%

[Preprint] Neighborhood Attention Transformer, 2022

https://github.com/animesh/neoflow • Science 13%

NeoFlow: a proteogenomics pipeline for neoantigen discovery

https://github.com/animesh/mup • Science 10%

maximal update parametrization (µP)

https://github.com/animesh/multimae • Science 10%

Code and pre-trained models for MultiMAE: Multi-modal Multi-task Masked Autoencoders

https://github.com/animesh/msqrobhurdlepaper • Science 23%

https://github.com/animesh/multiclasspairs • Science 23%

Build single sample pair-based (rule-based) classifiers using top-score pairs or random forest for multi-class problems.

https://github.com/animesh/msms_rt_score_integration • Science 23%

Code, Data and Results of the publication: "Probabilistic Framework for Integration of Tandem-Mass Spectrum and Retention Time Information in Small Molecule Identification" by Bach et al. 2020

https://github.com/animesh/ms1searchpy • Science 13%

https://github.com/animesh/mogutda • Science 10%

Topological Data Analysis in Python: Simplicial Complex

https://github.com/animesh/mmrf_commpass • Science 10%

A collection of scripts used to recreate files and graphs used in the MMRF CoMMpass analysis.

https://github.com/animesh/mnist1d • Science 10%

A 1D analogue of the MNIST dataset for measuring spatial biases and answering "science of deep learning" questions.

https://github.com/animesh/mmrfbiolinks • Science 13%

https://github.com/animesh/ml-pen-and-paper-exercises • Science 10%

Pen and paper exercises in machine learning

https://github.com/animesh/miscast_v1_data • Science 13%

https://github.com/animesh/miniprot • Science 10%

Align proteins to genomes with splicing and frameshift