Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

Read, modify and write DICOM files with python code

A lightweight library for PyTorch training tools and utilities

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

Hyper-parameter optimization for sklearn

open-source feature selection repository in python

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Laroche…

Graph Convolutional Networks for Text Classification. AAAI 2019

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

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

sentence embedding by Smooth Inverse Frequency weighting scheme

An IPython magic extension for printing date and time stamps, version numbers, and hardware information

[CONTRIBUTORS WELCOME] Generalized Additive Models in Python

Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.

Package for managing conda environment-based kernels inside of Jupyter

A Python library for dynamic classifier and ensemble selection

scikit-learn inspired API for CRFsuite

One-shot Learning with Memory-Augmented Neural Networks

Code of Directional Self-Attention Network (DiSAN)

Parallelized Mutual Information based Feature Selection module.

Implementing Bayes by Backprop

Convolutional computer vision architectures that can be tuned by hyperopt.

scikit-learn-compatible estimators from Civis Analytics

[deprecated] Configuration Assessment, Visualization and Evaluation

Anomaly Detection Workshop for PyData London 2018

simple python interface to SMAC.

A curated list of awesome Machine Learning frameworks, libraries and software.