Genomics · Quantitative Biology
MeFiT: Merging and Filtering Tool for Illumina Paired-End Reads for 16S rRNA Amplicon Sequencing
Hardik I. Parikh, Vishal N. Koparde, Steven P. Bradley, Gregory A. Buck +1
2015-12-11
Genomics · Quantitative Biology
Computational Performance of a Germline Variant Calling Pipeline for Next Generation Sequencing
Jie Liu, Xiaotian Wu, Kai Zhang, Bing Liu +7
2020-04-03
Machine Learning · Computer Science
FMTK: A Modular Toolkit for Composable Time Series Foundation Model Pipelines
Hetvi Shastri, Pragya Sharma, Walid A. Hanafy, Mani Srivastava +1
2025-12-02
Machine Learning · Computer Science
FedKit: Enabling Cross-Platform Federated Learning for Android and iOS
Sichang He, Beilong Tang, Boyan Zhang, Jiaoqi Shao +3
2024-02-19
Graphics · Computer Science
Dr.Jit: A Just-In-Time Compiler for Differentiable Rendering
Wenzel Jakob, Sébastien Speierer, Nicolas Roussel, Delio Vicini
2026-05-26
Genomics · Quantitative Biology
Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO)
Gaurav Gupta, Minghao Yan, Benjamin Coleman, Bryce Kille +4
2022-05-03
Systems and Control · Electrical Eng. & Systems
FiltPIM: In-Memory Filter for DNA Sequencing
Marcel Khalifa, Rotem Ben-Hur, Ronny Ronen, Orian Leitersdorf +2
2022-06-03
Databases · Computer Science
ERA: Efficient Serial and Parallel Suffix Tree Construction for Very Long Strings
Essam Mansour, Amin Allam, Spiros Skiadopoulos, Panos Kalnis
2011-10-03
Information Retrieval · Computer Science
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering
Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung +3
2022-11-09
Programming Languages · Computer Science
Compilation Forking: A Fast and Flexible Way of Generating Data for Compiler-Internal Machine Learning Tasks
Raphael Mosaner, David Leopoldseder, Wolfgang Kisling, Lukas Stadler +1
2022-06-29
Genomics · Quantitative Biology
MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph
Dinghua Li, Chi-Man Liu, Ruibang Luo, Kunihiko Sadakane +1
2014-12-24
Instrumentation and Detectors · Physics
Flexible and Scalable Data-Acquisition Using the artdaq Toolkit
Kurt Biery, Eric Flumerfelt, John Freeman, Wesley Ketchum +6
2018-06-20
Machine Learning · Computer Science
The Fast Kernel Transform
John Paul Ryan, Sebastian Ament, Carla P. Gomes, Anil Damle
2021-06-09
Numerical Analysis · Computer Science
Inv-ASKIT: A Parallel Fast Diret Solver for Kernel Matrices
Chenhan D. Yu, William B. March, Bo Xiao, George Biros
2016-02-04
Artificial Intelligence · Computer Science
Data-Prep-Kit: getting your data ready for LLM application development
David Wood, Boris Lublinsky, Alexy Roytman, Shivdeep Singh +20
2024-11-14