I'm a research scientist at @google-deepmind , working in optimization and machine learning
mord. Ordinal regression algorithms
274minirank. Ranking and ordinal regression algorithms in Python
135yep. Profiler for Python extensions
126memory_profiler. Monitor Memory usage of Python code
89hoag. Hyperparameter optimization with approximate gradient
65group_lasso. Python
39overview_optalgs. JavaScript
29pytron. Trust Region Newton optimization in Python
27pysofia. old repository, maintained version is at https://github.com/rth/pysofia
27nbgallery. JavaScript
21xmpp-shell. Python
19mash_2016_sklearn_intro. Material for the MASH course on introduction to scikit-learn
16ProxASAGA. Proximal Asynchronous SAGA
13hrf_estimation. HRF estimation
13DSOML_2017. Jupyter Notebook
12scikit-learn. Machine Learning in Python
9libpurple-examples. C
7thesis. sources for my PhD thesis
5TuftePelican. A pelican theme that attempts to use the [Tufte CSS](http://www.daveliepmann.com/tufte-css/) provide by Dave Liepmann. I hope I do him justice.
5coordinate_descent. Generalized linear models via coordinate descent
3scipy-lecture-notes. Notes used to give tutorials (for example at Euroscipy 2010)
3fabianp.
2gco_python. Python wrappers for GCO alpha-expansion and alpha-beta-swaps
2ml-benchmarks. Benchmarks for various machine learning packages
2rogues. A Python / Numpy / Scipy port of Prof. Nick Higham's m*lab 'gallery' matrices plus extras
2nipy. Neuroimaging in python
2numpy. Numpy main repository
1constopt-pytorch. Python
1joblib. Python function as pipeline jobs.
1JSAT. Java Statistical Analysis Tool, a Java library for Machine Learning
1hyperparam_bench. Benchmark of hyperparameter optimization methods
1copt. composite optimization in Python
1multitask. Python
1cnn-dailymail. Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization
1openreview-py. Official Python client library for the OpenReview API
1oreg. Ordinal Regression algorithms
1scipy. Scipy main repository
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