Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the NLP and IR communities.

PyRuSH is the python implementation of RuSH, which is originally developed using Java. RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and eliminates the effect of rule order on accuracy.

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

This package provides a Python implementation of IAMsystem algorithm, a fast dictionary-based approach for semantic annotation, a.k.a entity linking.

PyFastNER is the Python implementation of FastNER. It uses hash function to process multiple rules at the same time. Similar to FastNER, PyFastNER supports token-based rules and character-based rules.

Quicksectx is a simple, fast and no-dependency Python implementation of interval search, adapted from the bx-python project.

Extremely fast spelling checker and suggester in Python.

The following algorithms are supported currently:

• Edit-distance

• Editex

• Soundex

• Caverphone 1.0 and 2.0

• Typox

All the above algorithms use an underlying Trie-based dictionary for efficient storage and fast computation.

seqeval is a Python framework for sequence labeling evaluation. seqeval can evaluate the performance of chunking tasks such as named-entity recognition, part-of-speech tagging, semantic role labeling and so on.

The EDS-Pseudo project aims at detecting identifying entities in clinical documents, and was primarily tested on clinical reports at AP-HP's clinical data warehouse. The model is built on top of edsnlp, and consists in a hybrid model (rule-based + deep learning) for which we provide rules (eds-pseudo/pipes) and a training recipe. We also provide some fictitious templates and a script to generate a synthetic dataset.

This module can be used to extract or replace keywords in sentences, based on the FlashText algorithm.

This package provides a module for OpenTURNS with meshing algorithms.

This package enables to build Probability of Detection (POD) curves from Non Destructive Test. The curves are built using parametric models: univariate linear regression, quantile regression, kriging and polynomial chaos. Analysis can be run in order to test the linear regression hypothesis.

PoD can be built from a set of data or directly from a given physical model that simulate the Non Destructive Test. In this case, the design of experiments is defined iteratively.

Sensitivity analysis can be also be performed. The aggregated Sobol indices are available as well as the perturbation law indices.

This package provides a module for OpenTURNS for the Morris sensitivity method.

This package provides a bridge between OpenTURNS and FMUs, based on PyFMI.

This package provides a module for OpenTURNS for support vector machine.

This package provides a module for OpenTURNS for integrating with aGrUM.

This package provides a module for OpenTURNS to formulate and solve robust optimization problems.

This package provides a module for OpenTURNS for fast Fourier transform computation.

OpenTURNS is a scientific C++ and Python library including an internal data model and algorithms dedicated to the treatment of uncertainties. The main goal of this library is giving to specific applications all the functionalities needed to treat uncertainties in studies.

This package provides a module for OpenTURNS to formulate and solve robust optimization problems.

EZTrace is a tool that aims at generating automatically execution trace from high performance computing (HPC) programs. It generates execution trace files that can be interpreted by visualization tools such as ViTE.

An open-source benchmark and tracking library for C++ projects, designed to provide deep insights into function performance with minimal overhead. CTRACK is a powerful tool that can be seamlessly integrated into both development and production environments. It allows developers to effortlessly monitor applications and identify bottlenecks, requiring minimal setup and maintenance.

FxT is a fast tracing engine that can be used either in user land, in kernel land, or both. It can record developer-specified events in compact "traces", with minimal run-time overhead.

MojitO/S is an Open Source System, Energy and Network Monitoring Tools at the O/S level. MojitO/S runs on GNU/Linux.