the scikit-learn sidekick

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores

RSS to ActivityPub bridge

The "breathing k-means" algorithm with datasets and example notebooks

Competing Risks and Survival Analysis

Tools for diagnostics and assessment of (machine learning) models

Making your benchmark of optimization algorithms simple and open

the portable Python dataframe library

Quantile Regression Forests compatible with scikit-learn.

The breathing k-means algorithm (just one source file containing the algorithm as found on pypi)

Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.

Simple stochastic weight averaging callback for Keras

LDAP Authenticator Plugin for Jupyter

The Python programming language

an open-source python toolbox to analyze mobile phone metadata

Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning

🔧 Compute on demand in Docker containers

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

🚴 Call stack profiler for Python. Shows you why your code is slow!

Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Networks"

Exelixi is a distributed framework based on Apache Mesos, mostly implemented in Python using gevent for high-performance concurrency. It is intended to run cluster computing jobs (partitioned batch…

Repo for experiments on pyspark and sklearn

A recommender systems development and evaluation package by Mendeley

Fast Ensembles of Sparse Trees

Shared Memory Numpy ( Deprecated, See https://github.com/ContinuumIO/blaze )

Continuous benchmark suite for the scikit-learn project.