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BenchML: an extensible pipelining framework for benchmarking
  representations of materials and molecules at scale

BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale

4 December 2021
C. Poelking
Felix A Faber
Bingqing Cheng
ArXivPDFHTML

Papers citing "BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale"

1 / 1 papers shown
Title
Meaningful machine learning models and machine-learned pharmacophores
  from fragment screening campaigns
Meaningful machine learning models and machine-learned pharmacophores from fragment screening campaigns
C. Poelking
G. Chessari
C. Murray
Richard J. Hall
Lucy J. Colwell
M. Verdonk
27
5
0
25 Mar 2022
1