Pinned Repositories
gbm
Gradient boosted models
InvariantRiskMinimization
PyTorch code to run synthetic experiments.
molecule_classification
"Auto-sklearn for chemistry" - train and run machine-learned classifiers for molecular classification tasks.
pigrank
Apache Pig UDFs for ranking (ndcg, mrr, jaccard coefficient, cosine similarity, rank-biased overlap)
plotluck
R tool for automated creation of ggplots. Examines one, two, or three variables and creates, based on their characteristics, a scatter, violin, box, bar, density, hex or spine plot, or a heat map. Also automates handling of observation weights, log-scaling of axes, reordering of factor levels, and overlays of smoothing curves and median lines.
pymeter
Simple utilities for stream statistics and timing
pytorch_dsb2018
Pytorch code for the Data Science Bowl 2018 Challenge.
tabulator
A set of Unix shell command line tools for quick and convenient batch processing of tabular text files (a.k.a., tab-delimited, tsv, csv, or flat data file format) with a header line. Provides column reference by name, automatic delimiter and compression detection for per-line transformations, sql-like group-by operation and relational join.
stefan-schroedl's Repositories
stefan-schroedl/plotluck
R tool for automated creation of ggplots. Examines one, two, or three variables and creates, based on their characteristics, a scatter, violin, box, bar, density, hex or spine plot, or a heat map. Also automates handling of observation weights, log-scaling of axes, reordering of factor levels, and overlays of smoothing curves and median lines.
stefan-schroedl/tabulator
A set of Unix shell command line tools for quick and convenient batch processing of tabular text files (a.k.a., tab-delimited, tsv, csv, or flat data file format) with a header line. Provides column reference by name, automatic delimiter and compression detection for per-line transformations, sql-like group-by operation and relational join.
stefan-schroedl/molecule_classification
"Auto-sklearn for chemistry" - train and run machine-learned classifiers for molecular classification tasks.
stefan-schroedl/pigrank
Apache Pig UDFs for ranking (ndcg, mrr, jaccard coefficient, cosine similarity, rank-biased overlap)
stefan-schroedl/gbm
Gradient boosted models
stefan-schroedl/InvariantRiskMinimization
PyTorch code to run synthetic experiments.
stefan-schroedl/pymeter
Simple utilities for stream statistics and timing
stefan-schroedl/pytorch_dsb2018
Pytorch code for the Data Science Bowl 2018 Challenge.