turn natural language into structured data.
Transcode sentence (or other sequence) to list of word vector .
Multilingual text (NLP) processing toolkit.
Reading Wikipedia to answer open-domain questions.
A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
Natural Language Understanding library for intent classification and entity extraction
Named-entity recognition using neural networks providing state-of-the-art-results
conversational AI library with many pretrained Russian NLP models.
topic modelling platform.
> Python Outlier Detection, comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. Featured for Advanced models, including Neural Networks/Deep Learning and Outlier Ensembles.
> Lightweight, Python library for fast and reproducible machine learning experimentation. Introduces very simple interface that enables clean machine learning pipeline design.
> Curated collection of the neural networks, transformers and models that make your machine learning work faster and more effective.
automated build consisting of a web-interface, and set of programmatic-interface API, for support vector machines. Corresponding dataset(s) are stored into a SQL database, then generated model(s) used for prediction(s), are stored into a NoSQL datastore.
An Apache Incubating project for developing an open source machine learning library.
Book/iPython notebooks on Probabilistic Programming in Python.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
Distributed machine learning library in Spark
A Python module for machine learning built on top of SciPy.
A Python module for metric learning.
Python implementation of many of the artificial intelligence algorithms described on the book "Artificial Intelligence, a Modern Approach". It focuses on providing an easy to use, well documented and tested library.