A Natural Language Processor in JS.
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A Python package for Korean natural language processing.
A tool kit for processing text using computational linguistics.
Fast and easy data exploration by automating the visualization and data analysis process.
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
A Natural Adversarial Language Processing framework built over Tensorflow.
Natural Language processing in the browser.
Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
Apache OpenNLP is a machine learning based toolkit for the processing of natural language text.
Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
Reinforcement learning using Markov Decision Processes.
, a pluggable architecture for data and image processing, which can.
Multilingual text (NLP) processing toolkit.
Open-source tool to simplify the process of creating and managing LLM workflows and prompts as a self-hosted solution.
Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.
Text processing tools and wrappers (e.g. Vowpal Wabbit).
SAMOA is a framework that includes distributed machine learning for data streams with an interface to plug-in different stream processing platforms.
A collection of algorithms for image processing in Python.
High performance distributed data processing in NodeJS.
A library for processing Chinese text.
Performant natural language processing toolkit.
Spark is a fast and general engine for large-scale data processing.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.