Search Results for "python basic project"
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Showing 51 open source projects for "python basic project"
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Open Science
Open Science is an open-source, local-first, model-agnostic research
Open Science is an open-source, local-first AI research workbench built for scientific discovery on macOS, Windows, and Linux. Researchers can describe a task in plain language and let an agent inspect files, execute Python or R, search the web, and call scientific data connectors. The system is model-agnostic, allowing users to connect supported providers, compatible gateways, or subscription-based backends. It produces reproducible reports, tables, figures, and other artifacts inside a unified project workspace. Users can inspect tool activity, approve sensitive actions, branch earlier conversations, and compare alternative research paths without losing prior work. ... -
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nanoGPT
The simplest, fastest repository for training/finetuning models
...While simple, it can still train non-trivial models on modern GPUs and generate coherent text. The project has become widely used in tutorials, courses, and experiments for people learning how transformers work under the hood. -
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Maths, CS & AI Compendium
Become a cracked AI/ML Research Engineer
...It also addresses operating systems, algorithms, production software, GPU programming, AI inference, and ML systems design. Readers need only elementary mathematics and basic Python knowledge to begin. A bundled MCP server lets compatible AI assistants use the locally cloned compendium as a knowledge base. The repository is useful for self-study, interview preparation, and deeper AI research engineering training. -
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PRAXIST
Autonomous research system for measurable computer-executable research
PRAXIST is an autonomous research system for measurable, computer-executable problems. It turns an already runnable project into a persistent research process instead of a series of disconnected prompts. Parallel research peers explore competing hypotheses and implementations while evaluators convert outcomes into structured evidence. That evidence is carried across generations so later work can build on promising strategies and avoid repeating weak ones. The system supports multi-metric... -
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Growth Lab
An end-to-end growth tool that understands the product
Growth Lab is an open-source agentic growth workspace that connects product understanding, market research, execution, measurement, and iteration. It uses Codex or Claude Code as the runtime and treats natural-language conversations as the control surface. Collectors gather product, market, content, and channel evidence, while executor skills help create, publish, review, and coordinate growth work. Each growth model follows an observe-act-review loop and keeps persistent memory of evidence,... -
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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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TX Library
TX Library is a tiny graphics library for Win32 written in C++.
TX Library is a tiny graphics library for Win32 written in C++. It is a small sandbox for the very beginners to help them to learn basic programming principles. The documentation is currently in Russian. More info here: http://storage.ded32.net.ru/Lib/TX/TXUpdate/Doc/HTML.ru, http://ded32.net.ru/news/2011-04-03-58, http://ded32.net.ru. -
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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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This project is intended to provide code to be used with MySQL and Python to create a database of major league baseball game events which are freely provided by the mlb.com Gameday application. Older version also support creating a retrosheet.org database but that is no longer supported. All major and minor league pitch location and game statistic data can be downloaded using BBOS.
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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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AngelReader
An E-book, Audio-book, & Library Loader in One Application
AngelReader: A minimalist but powerful GUI application that has the capacity to load [1] E-books in plain text format with the least use of both software and hardware resources. It can also load [2] Audio-books with the basic functions of play, stop, pause, and resume with the same minimalist economy that doesn't hog computer resources. When used in integration with the AngelReader Library Selector, it can function as a mini library management system for books in electronic formats. It's in... -
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Personal Library
Acts like a real library with the best user interface on the backpack.
Stores your favorites Books. Lets you track the Users logged,signed up. Time tracing of system access. Delete, and Add both Categories and Books. No fussy configurations, embedded database with Java Runtime Environment enabled. -
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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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Text2MP3
PDF/Text to MP3 - Text Processing to speech
This project is depricated. We apologize. ---------------------------------------------------------------------------- Windows Application that strips PDF's into text and converts to speech. You can save the extracted text also into text files, Word docs, csv's and rtf format. Browse for PDF's from the web, save them and strip them. Good for students, lecturers, theses and educational purposes. Some bugs yet to fix in the coming weeks, although these do not effect the functionality... -
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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.