Digital Signal Processing (filtering, periodograms, spectrograms, window functions).
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In-process SQL OLAP database management system.
Fast and convenient feature processing for low latency machine learning in Go.
A research project exploring the role of machine learning in the process of creating art and music.
Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.
Framework that allows for the distributed processing of large data sets across clusters.
A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
A Natural Language Processor in JS.
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.
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).