Search Results for "python basic project"
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Showing 33 open source projects for "python basic project"
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AI Researcher
An autonomous AI researcher
AI Researcher is an experimental open-source project that demonstrates how multiple AI agents can collaborate to conduct complex research tasks from start to finish with minimal human intervention. It orchestrates agents that can generate research questions, perform literature reviews, execute experiments, analyze results, and synthesize findings into structured outputs like reports or code. Each agent operates with clear roles — such as researcher, analyst, and summarizer — and they... -
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moebinv
C++ libraries for manipulations in non-Euclidean geometry
These are two C++ libraries for symbolic, numeric and graphical manipulations in non-Euclidean geometry. There is GUI which allows to interact with these libraries by mouse clicks. On a dipper level the first library Cycle implements basic operations on cycles (quadrics) through FSCc construction. The second library Figure operates on ensembles of cycles connected by Moebius-invariant relations, e.g. orthogonality. Both libraries are based on the Clifford algebra capacities of the GiNaC computer algebra system (http://ginac.de). Besides C++ libraries there is a Python wrapper, which can be used in interactive mode (https://codeocean.com/capsule/7952650/). ... -
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JSONLab
JSONLab: compact, portable, robust JSON/binary-JSON encoder
JSONLab is a free and open-source JSON/UBJSON/MessagePack encoder and decoder written in the native MATLAB language. It can be used to convert a MATLAB data structure (array, struct, cell, struct array, cell array, and objects) into JSON/UBJSON/MessagePack formatted strings and files, or to parse a JSON/UBJSON/MessagePack file into MATLAB data structure. JSONLab supports nearly all versions of MATLAB and GNU Octave (a free MATLAB clone). The development of JSONLab is currently funded by the... -
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to... -
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Brain Tokyo Workshop
Experiments and code from Google Brain’s Tokyo research workshop
The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. The... -
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Python/FEniCS Examples
phase-field simulation and other examples with Python/FEniCS
The main goal of this project was developing phase-field simulations of lithium dendrite growth with FEniCS programmed in Python. The problem was based in the grand potential-based model of Zijian Hong and Venkatasubramanian Viswanathan (https://doi.org/10.1021/acsenergylett.8b01009) . Some simpler examples were developed before for a first approach with FEniCS: heat equation and combustion model. -
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Freebasic Beginners Guide
An updated Beginners guide to FreeBASIC
The purpose of this project is to create and update a beginners guide to FreeBASIC. Over the years I have noticed that there was only three real ways to learn FreeBASIC. The FreeBASIC Documentation, the FreeBASIC Community Forum, and A old beginners guide written by Richard D. Clark and Ebben Feagan. Each of these sources are great, but they all assume some experience with a programming language. This Project is taking Richard D. Clark's and Ebben Feagan's "A Beginner's Guide to... -
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PyTorch GAN Zoo
A mix of GAN implementations including progressive growing
PyTorch GAN Zoo is a comprehensive open research toolbox designed for experimenting with and developing Generative Adversarial Networks (GANs) using PyTorch. The project provides modular implementations of popular GAN architectures, including Progressive Growing of GANs (PGAN), DCGAN, and an experimental StyleGAN version. It is built to support both researchers and developers who want to train, evaluate, and extend GANs efficiently across diverse datasets such as CelebA-HQ, FashionGen, DTD,... -
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Pydicom by examples
Basic and intermediate examples of DICOM library with Jupyter
Basic and intermediate examples to read, modify and write DICOM files with Python code using Jupyter - To install Jupyter - https://jupyter.org/install ====== All examples are based on Pydicom. An open source library - https://pydicom.github.io/ -
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FB Chart Designer
Create multi-degree polynominals charts. Designed in FbEdit & WinAPI.
This program allows to draw diagrams with chart library, that can be used with dialog applications, based on the RC files designers (such as FbEdit for example). This is the one of the fastest way to create window application with visual design methods, and implement into it an ellegant and flexible chart, that can be choosen from four different diagram kinds (if you edit code and use it in your projects). The source code chart library by Lothar Schirm is based on the consolidated... -
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StochKit is an extensible stochastic simulation framework developed in C++ that aims to make stochastic simulation accessible to practicing biologists and chemists, while remaining open to extension via new stochastic and multiscale algorithms. StochKit is part of the StochSS project [http://www.stochss.org/], and we are relying on continued funding for sustained development. Please consider registering to show your support. Register here: https://docs.google.com/forms/d/12tAH4f8CJ-3F-lK44Q9uQHFio_mGoK0oY829q5lD7i4/viewform GillesPy is a python interface for developing models and simulating them with StochKit. ...
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mediaTUM is free software written in Python for archiving and retrieval of images, documents and other research data. It was originally developed in the framework of the DFG project IntegraTUM and is continuously expanded with new functionalities as required.
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Python Advanced
Intermediate Python Chinese version
"Advanced Python" is the Chinese translation of "Intermediate Python". Python, as an "experienced" and "small and fresh" development language, has been loved by many talented men and women. We have also evolved from being the most basic Python fan to the old Python ghost over time. The book "Intermediate Python" is simple to read, and easy to translate. -
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isbntools
A command line tool to extract, transform and get metadata for ISBNs
As of 2015-06-02, this project is no longer under active development. -
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fPotencia
Power flow library in C++
...After observing the lack of ready-to-implement libraries for power system analisys, and that the existing ones focus on command line workflow, I decided myself to start a project to fill the gap. Since Power system simulations have started needing to be executed in parallel, the old C-like designs are outdated; modular design is now needed to launch many simulations at the same time based on a base circuit. fPotencia is programmed in C++, but my intention is to bring JAVA, C#, Python and perhaps MATLAB versions of it. ... -
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Python Console Library Project
Console functions
Compendium of console functions for Python (similar to BC conio.h) Actually: atof(s): btoi(ch): btos(ch): charfilter(ch): clrscr(n=150): cmp(a, b): finput(b=""): getarrow(): getch(): gotoxy(x=0,y=0): imput(b=""): ink(x=7): isint(x=0): islin ():... -
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7train is an XSLT 2.0 tool for generating METS files from XML input. It builds the basic METS structure so that the user can worry about what is specific to the user's project. Includes examples for generating METS from OAI and CONTENTdm records.
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iCamp is a research and development project funded by the European Commission. The project aims at creating an infrastructure for collaboration and networking in Higher Education across systems.
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A digital repository and metadata editing initiative of Duke University Libraries
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BS Eagle Project is an open source black-oil simulator. The goal of this project is to provide a free access to the modern oil simulator to study new methods of simulation. The project has a modular architecture and open to modifications and extensions.
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This is a collection of tools to analyze iClicker signals with GNURadio. It is intended purely as an educational research project, and should not be used as a replacement for iClicker classroom activities.
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The UIUC OAI Metadata Harvesting Project software for creating OAI Providers & Harvesters is implemented in Visual Basic and Java, and includes various stand-alone packages, plus object libraries which can be used to develop custom Providers or Harvester
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Mac upgraded to OSX, Lepard which do not support os9 anymore. This project is build to help DNA Strider user to get their data out and perform some basic DNA analyze function.
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This is a basic substitute for expensive library software. It will require you to manually enter all the titles, authors, and ISBN-13s into a database at first, but after that maintenance is easy.
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Evk is a simple lossy video codec. Project aims at developing a clean and functional implementation of basic algorithms used in video compression. Next goal is to create a detailed documentation together with tutorial about video compression.
