Directory
Published directory entries matching your search.
dpnn is a package of deep extensions to the nn neural network library, providing extra modules and criterions beyond the main nn package. It includes modules such as Serial, Inception, ReverseTable, SpatialUniformCrop and SpatialGlimpse, plus modules and criterions for implementing the REINFORCE algorithm.
Frog integrates memory-based natural language processing modules developed for Dutch, all based on the Timbl learning software package. Modules originated in the 1990s, and a dependency parser, base phrase chunker and named-entity recognizer were added more recently. It offers a command-line interface that can run as a daemon, plus a C++ library.
AIToolbox is a toolbox of AI modules written in Swift, covering graphs and trees, support vector machines, neural networks, PCA, K-Means and genetic algorithms. The framework uses the Accelerate library to speed up computations, except the Linux package versions. A Swift Package is available for Mac and Linux, described as a sub-set of the full framework.
Bodywork is a command line tool that deploys machine learning pipelines to Kubernetes, handling containers and orchestration. Any pipeline stage runs either a batch job or a long-running process. It is presented as a lightweight alternative to Kubeflow or building a platform around workflow tools such as Apache Airflow, Argo Workflows or Dagster. Stages are defined as Python modules or Jupyter notebooks and configured in a single bodywork.yaml file.
ClearTK is a framework for developing statistical natural language processing components in Java, built on top of Apache UIMA. It is developed by the Center for Computational Language and Education Research (CLEAR) at the University of Colorado at Boulder. The project is built with Maven, and the repository includes sub-projects such as cleartk-feature and modules for several machine learning libraries.
CogCompNLP is a collection of core natural language processing libraries developed by the Cognitive Computation Group. Its modules include a lemmatizer, part-of-speech tagger, named entity recognizer, tokenizer, transliterator, relation extraction, similarity, temporal normalizer and verb sense tools. The project includes a pipeline for annotating raw text and recommends JDK8.
Course materials and notes for the Stanford class CS231n: Deep Learning for Computer Vision. The notes accompany the Stanford CS class and cover topics organized in modules. Spring 2026 assignments are listed.
Heights Platform is an AI online course creation and community software platform. It lets creators build and sell online courses, communities, coaching programs, and digital products, with unlimited videos and modules, lesson editor tools, drip feed, and payment plans via Stripe or PayPal. It also provides a website builder and landing pages.
Highcharter is an R wrapper for the Highcharts JavaScript charting library and its modules, delivered through an htmlwidget. The hchart(x) function charts data frames, vectors, ts, xts, forecast and survfit objects. It supports Highstock candlestick charts, Highmaps choropleth charts, themes, and plugins. Highcharts offers a commercial license and a free non-commercial license; the package does not provide a Highcharts license.
imutils is a Python package of convenience functions that make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV. It works with Python 2.7 and Python 3 and is pip-installable given NumPy, SciPy, Matplotlib and OpenCV. A find_function method searches function names across modules.
A free curriculum of six courses on agentic AI design patterns for developers and product managers. It covers code, architecture, decisions and hands-on games, with 21 patterns for developers and 15 modules for product managers. No account is needed to read the material.
mlxtend is a library that provides extension and helper modules for Python's data analysis and machine learning libraries. The project includes installation guides, example code, license information, and contact details. It is hosted as an open source repository on GitHub.
An NLP toolbox for Matlab under development by researchers at UC Berkeley's AMPLab, intended to process natural language within Matlab rather than switching to other languages. It includes modules for text tokenization, text preprocessing such as stop word removal and stemming, and learning algorithms including linear regression, decision trees, support vector machines and a Naive Bayes classifier.
NuriStat is a free open-source alternative to SPSS, a menu-driven statistics tool designed for researchers and clinicians. It provides 27 or more analysis modules, variable metadata support, SPSS import functionality, effect size calculation, survival analysis, and ROC analysis.
Portkey is a production stack for generative AI builders that offers a suite of tools including an AI gateway, observability features, guardrails and prompt management modules. It is designed to help organizations democratize and productionize generative AI.
PyNLPl, pronounced "pineapple", is a Python library for natural language processing. It includes modules for common and less common NLP tasks, such as n-gram and frequency list extraction, simple language model building, parsers for common NLP file formats including FoLiA, Giza, Moses, ARPA, Timbl and CQL, clients for NLP-specific servers, and extensive tools for working with FoLiA XML linguistic annotation.
torchvista is an open-source tool that enables interactive visualization of PyTorch forward passes in Jupyter notebooks, maintained as a public GitHub repository under the sachinhosmani organization. It supports interactive drag-and-zoom graphs, collapsible nodes for hierarchical modules, and error-tolerant partial visualization when errors arise.
The visualizer is a tool developed by the cheminformatics department of the Swiss Federal Institute of Technology for rendering complex datasets. Its modules, placed on a browser page, display information as tables, charts, matrices or lists and interact through a central API of variables and actions. Visualization starts by passing three JSON file URLs in the browser address bar. It is released under the MIT license.
A Hugging Face Space by samsammysammy that generates short videos. Users enter a description and optionally an image, choose video size, length and style options, and the app creates a short video matching the prompt. Special LoRA modules can be enabled. The repository is marked as containing sensitive content and currently shows a runtime error.
ZingChart is a dependency-free pure JavaScript charting library for data visualization. It includes over 50 built-in chart types and modules, uses simple JSON configuration, and offers integrations with popular JavaScript frameworks including React, Angular, and Vue.
