Peter Prettenhofer

nut. Natural language Understanding Toolkit

bolt. Bolt Online Learning Toolbox

pydata-gbrt-tutorial. IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"

sklearn_pycon2014. Repository containing files for my PyCon 2014 scikit-learn tutorial.

dataset-shift-osdc16. Support material for my OSDC London 2016 talk on Dataset Shift in Machine Learning

aml-class-19. Lviv Data Science Summer School 2019 lecture on Automated Machine Learning

scikit-learn. scikit-learn main repo

pyFM. Factorization machines in python

grpc-kubernetes-skl-tutorial. A work-in-progress tutorial on how to expose a sklearn model via gRPC and deploy it via kubernetes

statsmodels. Statsmodels: statistical modeling and econometrics in Python

sketchd. Twisted server to sketch data streams

scikit-learn-tutorial. Applied Machine Learning in Python with scikit-learn

scikit-learn-speed. Continuous benchmark suite for the scikit-learn project.

vbench. vbench: A tool for benchmarking your code through time, for showing performance improvement or regressions

hamer. HaMeR: Reconstructing Hands in 3D with Transformers

hackaton-sentiment-summarizer. A simple sentiment summarizer as a Chrome extension

pandas. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

benchm-ml. R

txredisapi. redis client for twisted

ipython-notebooks. Collection of IPython Notebooks

crfsuite. CRFsuite: a fast implementation of Conditional Random Fields (CRFs)