Interactive Notation for Computational Graphs

Interactive computational book on multibody dynamics

a flexible and distributed system for deriving, and interacting with, computational trust

Pybot can change the way learners try to learn python programming language in a more interactive way. This chatbot will try to solve or provide answer to almost every python related issues or queries that the user is asking for. We are implementing NLP for improving the efficiency of the chatbot. We will include voice feature for more interactivity to the user. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. NLTK has been called “a wonderful tool for teaching and working in, computational linguistics using Python,” and “an amazing library to play with natural language.The main issue with text data is that it is all in text format (strings). However, the Machine learning algorithms need some sort of numerical feature vector in order to perform the task. So before we start with any NLP project we need to pre-process it to make it ideal for working. Converting the entire text into uppercase or lowercase, so that the algorithm does not treat the same words in different cases as different Tokenization is just the term used to describe the process of converting the normal text strings into a list of tokens i.e words that we actually want. Sentence tokenizer can be used to find the list of sentences and Word tokenizer can be used to find the list of words in strings.Removing Noise i.e everything that isn’t in a standard number or letter.Removing Stop words. Sometimes, some extremely common words which would appear to be of little value in helping select documents matching a user need are excluded from the vocabulary entirely. These words are called stop words.Stemming is the process of reducing inflected (or sometimes derived) words to their stem, base or root form — generally a written word form. Example if we were to stem the following words: “Stems”, “Stemming”, “Stemmed”, “and Stemtization”, the result would be a single word “stem”. A slight variant of stemming is lemmatization. The major difference between these is, that, stemming can often create non-existent words, whereas lemmas are actual words. So, your root stem, meaning the word you end up with, is not something you can just look up in a dictionary, but you can look up a lemma. Examples of Lemmatization are that “run” is a base form for words like “running” or “ran” or that the word “better” and “good” are in the same lemma so they are considered the same.

Building blocks for generative art and computational design projects. Ranging from audio-visual interactive installations to generative design tools.

Readings on computational logic, interactive theorem proving and functional programming.

An interactive 3D visualization featuring a crystal bird geometry with flowfield particle animation, GPGPU computation, and post-processing effects.

Bridging Code and Interactive Visualization in Computational Notebooks

Minimal pure-Python implementation of a secure multi-party computation (MPC) protocol for evaluating arithmetic sum-of-products expressions via a non-interactive computation phase.

The Bioinformatician’s Interactive Lab Notebook (BILN) is a smart, dynamic system for tracking experiments, datasets, and workflows. Designed for bioinformaticians, it ensures reproducibility, structured logging, and AI-readiness. Export logs, collaborate seamlessly, and let BILN become your interactive companion in computational biology.

Interactive Neural Machine Translation-lite (INMT-lite) is a framework to train and develop lite versions (.tflite) of models for neural machine translation (NMT) that can be run on embedded devices like mobile phones and tablets that have low computation power and space. The tflite models generated can be used to build the offline version of INMT mobile, a mobile version of INMT web.

causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.

drScratch is an analytical tool that evaluates your Scratch projects in a variety of computational areas to provide feedback on aspects such as abstraction, logical thinking, synchronization, parallelization, flow control, user interactivity and data representation. This analyzer is a helpful tool to evaluate your own projects, or those of your Scratch students.

Pure-Python implementation of a threshold ecdsa signature scheme based on a secure multi-party computation (MPC) protocol for evaluating arithmetic sum-of-products expressions via a non-interactive computation phase.

First learning module of the Engineering Computations series: Learn to interact with Python and handle data with Python.

SpinView: General interactive visual analysis tool for multi-scale computational magnetism

The CoLoMoTo Interactive Notebook: Accessible and Reproducible Computational Analyses for Qualitative Biological Networks

An interactive tool for supporting the lifecycle of a computational molecular chemistry investigation

Linux Comodular Realtime Interactive Computation Engine

We propose a driver modeling process and its evaluation results of an intelligent autonomous driving policy, which is obtained through reinforcement learning techniques. Assuming a MDP decision making model, Q-learning method is applied to simple but descriptive state and action spaces, so that a policy is developed within limited computational load. The driver could perform reasonable maneuvers, like acceleration, deceleration or lane-changes, under usual traffic conditions on a multi-lane highway. A traffic simulator is also construed to evaluate a given policy in terms of collision rate, average travelling speed, and lane change times. Results show the policy gets well trained under reasonable time periods, where the driver acts interactively in the stochastic traffic environment, demonstrating low collision rate and obtaining higher travelling speed than the average of the environment. Sample traffic simulation videos are postedsit on YouTube.

This repository contains the Python library for interacting with Capnion's private computation API. Together this library and the API make up Ghost PII.

ELISa (Eclipsing binary Learning and Interactive System) is a Python-based tool designed for efficient modeling of light and radial velocity curves of eclipsing binaries. It balances computational speed and accuracy, offering modular, cross-platform usability and built-in optimization methods like least squares and MCMC for parameter determination.

A JavaFX-based application showcasing various mathematical algorithms, including a BODMAS calculator, numerical integrator, matrix equation solver, and quadratic & cubic equation solvers. The project provides an interactive and visual way to understand mathematical computations using Java.

US EPA's ctxR: Utilities for Interacting with the CTX APIs in R without prior API knowledge https://www.epa.gov/comptox-tools/computational-toxicology-and-exposure-apis

The neuro-imaging brain aging chart [niCHART] is a comprehensive solution to analyze standard structural and functional brain MRI data across studies. [niCHART] and the associated pre-processing tools implement computational morphometry, functional signal analysis, quality control, statistical harmonization, data standardization, interactive visual

A computational project at Imperial College London to develop interactive visualizations for education.

Virtual Reality is an experimental and innovative framework containing advanced tools and options for creating virtual world applications. Virtual Reality is not a virtual world, nor a stand-alone application, it is a scalable and customizable platform containing some basic modules and based on some fundamental innovative pillars (peer-to-peer architecture, secure communication infrastructure, leg al framework, powerful scripting language); additional modules can be built on top of it on demand. The core of Virtual Reality is the innovative Virtual Reality Engine based on a hybrid peer-to-peer infrastructure that allows the sharing of computational load in experiencing the virtual environment obtaining infrastructural resource optimization and bandwidth reduction. It enhances the platform in terms of robustness, availability, scalability, load balancing. From an higher level point of view, Virtual Reality is provided with a Legal Framework that allows to conclude deals and to carry out transaction directly in-world. To obtain this aim, Virtual Reality is integrated with a secure communication infrastructure based on a strong identity system that bounds the avatar to the real identity of the person behind, that is responsible of his actions as in real life. In case of infringement of the contract terms, an in-world dispute resolution is implemented within the platform The design of such system carefully mimics the Model Agreement provided by The International Mediation Institute, www.IMImediation.org . The main Science & Technology objectives of the project were: to create a scalable, reliable p2p architecture for a 3d environment: two innovative custom libraries have been developed, namely vrnet and vrengine that allow the creation of a coherent world on top of a overlay network leveraging on a newly introduced authority mechanism; to create a secure and trusted infrastructure and a certified authentication system: it allows end-to-end security in communications between either users or participating virtual nodes; this layer is built upon PKI and stresses the role of mutually entrusted communication streams as well as digital signature of documents and proof of identity; to implement a virtual law system: leveraging the platform built-in strong identity, users are allowed to carry out transactions directly in-world (contracts and online dispute resolution system) and to participate to its ruling via customizable Constitution and Law System; to create a powerful scripting engine, allowing the users to interact with the virtual world. Scripting has been targeted toward programmers, privileging power over ease-of-use; This innovative approach has received some encouraging feedbacks from private universities and training companies, so that a specific applicative scenario has been customized for educational purposes (Virtual Campus). The Virtual Campus scenario takes also advantage from the interactivity enabled by the Virtual Reality scripting engine. From the legal side, some Contracts template specifically targeted to the relationships existing among private universities, teachers and students, cover the main use cases. Moreover, after a careful examination of potential business applications, thanks to the powerful scripting engine has been possible to obtain a specific applicative scenario (industrial scenario) aimed, for example, to provide a testing platform for streetcars/railway designers/manufacturers. The project has devoted great attention also on dissemination and exploitation activities; more than thirty publications have been written and more than one hundred fifty potential stakeholders have been contacted in order to build a business relationship. Platform Validation has demonstrated that Virtual Reality offers the architectural support for adoption of the platform, whether in autonomous or assisted usage, in educational and industrial application domains (i.e. Virtual Campus and Street-cars). The validation highlighted some improvements area, in particular with respect to the usability and 3D interaction mode. Notwithstanding this finding, the users in both the domains were able to perform the planned scenarios and the validation exercises. Virtual Reality demonstrates to be fully compliant with the requirements provided by the pool of involved users. As for Virtual Campus the platform proved to enhance teachers and students to carry out their duties. In particular the possibility to visualize complex objects, as well as their exploration, and the persistence of the virtual world, were assessed as valuable features to support the educational scenarios. The experimental results demonstrated that P2P framework effectively balances richness, responsiveness, robustness to provide an enhanced user experience to what is possible on traditional client/server architectures on regular Internet connections. In addition, our P2P framework reduces the requirements of bandwidth and CPU power on the service provider of a Virtual Reality-based virtual world service, and hence reduces the total cost of ownership

Interactive Narrative Therapist (INT) and Innovative Moment Assessment (IMA) framework using Large Language Models for computational narrative therapy

Interactive, GPU accelerated computation graphs

Workshop "From interactive to social media: how to promote data journalism" European Data and Computational Journalism Conference 2018