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Showing 44 open source projects for "run sackboy run"
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AutoResearchClaw
Autonomous research from idea to paper. Chat an Idea. Get a Paper 🦞
...The system retrieves real academic references from sources such as arXiv and Semantic Scholar to ensure credible citations. It can automatically generate code for experiments, run them in a sandbox environment, and analyze the results with statistical methods. The platform also uses multi-agent debate and automated peer review processes to refine research findings and improve paper quality. By combining literature discovery, experimentation, and writing automation, AutoResearchClaw aims to turn research ideas into conference-ready papers with minimal human intervention. -
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Hello SQL
Spanish-language course repository that teaches fundamentals of SQL
...Learners progress from setup and connection to hands-on exercises that build confidence with CRUD operations and data modeling. The repository’s structure favors incremental learning, with clear folders, references, and exercises you can run locally. It targets absolute beginners as well as developers from other stacks who want a clean, project-based path into SQL. -
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Scientific Visualization
An open access book on scientific visualization using python
The Scientific Visualization book is a freely available open-access textbook that introduces how to produce effective scientific visualizations using Python, focusing especially on leveraging the popular plotting library Matplotlib (and related tools). It goes beyond simple plotting tutorials and emphasizes design principles: how to choose colors, layout subplots, annotate graphs, and present data in a way that is both accurate and visually compelling. As such, it serves as a guide for... -
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Think Python 2
LaTeX source and supporting code for Think Python, 2nd edition
ThinkPython2 is the repository for the second edition of Allen Downey’s Think Python textbook, which teaches programming fundamentals in Python to beginners. The code includes all of the example programs, exercises, and supplementary files referenced in the book, allowing learners to run the examples, experiment, and extend them. The repository contains clean, well-commented Python scripts that are easy to follow and map directly to chapters of the text, covering topics like variables, control flow, functions, recursion, data structures (lists, dictionaries), classes and objects, file I/O, and algorithmic thinking. ... -
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Advanced Trigonometry Calculator
Precision Trigonometry: Advanced Calculator for Complex Math
Advanced Trigonometry Calculator is equipped with a user-friendly interface that allows for easy input of problems and instant computation. Professionals such as engineers who need to perform advanced trigonometric calculations in their work will find this tool extremely useful. ATC Online Alpha: https://advantrigoncalc.sourceforge.io/atc/ More info by clicking below: https://advantrigoncalc.sourceforge.io/ Advanced Trigonometry Calculator was only and always only developed by... -
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Summarize from Feedback
Code for "Learning to summarize from human feedback"
...The code includes different stages: a supervised baseline (i.e. standard summarization training), the reward modeling component, and the reinforcement learning (or preference-based fine-tuning) phase. The repo also includes utilities for dataset handling, modeling architectures, inference, and evaluation. Because the codebase is experimental, parts of it may not run out-of-box depending on dependencies or environment, but it remains a canonical reference for how to implement summarization via human feedback. -
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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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HomeworkHelper
Homework Helper: Organize tasks, meet deadlines. Ideal for ADHD
...Developed with a focus on simplicity and usability, Homework Helper aims to support students, including those with ADHD or individuals struggling with task management, in staying organized and achieving academic success. To install the app extract the zip file to a folder of your choice and run HomeworkHelper.exe *DISCLAMER* Some of it was made by ChatGPT -
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Personal Study Planner
Python program that create a personalized study plan for your exams.
Run the program with `python3 studyplanner.py` or `py studyplanner.py` If you are having trouble with Python or don't feel like installing it, you can also run the executable located inside the 'dist' folder. Windows only. This project is licensed under the Apache-2.0 license. -
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AllenNLP
An open-source NLP research library, built on PyTorch
...AllenNLP will automatically find any official AI2-maintained plugins that you have installed, but for AllenNLP to find personal or third-party plugins you've installed, you also have to create either a local plugins file named .allennlp_plugins in the directory where you run the allennlp command. -
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internet-control
Control how long your childs computer is connected to the internet
internet-control is a very special implementation of parental control. It allows the child to be productive at the computer while lowering the danger of addiction to a minimum. Instead of restricting the time the computer may be used, it allows parents to restrict the time the computer may be connected to the internet. This way the child is still able to do its homework at the computer, but the danger of addiction to a game or social media application is minimised - the unpredictabillity... -
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Muc_systray x86
A demonstration python animation system tray X86
This project show you the potential of mini meme on your taskbar. That will help to maximize your OC expose promotion and the the way interaction. Full source code accessible. -
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Practice Python
Part of my daily plan for studying Python
practice-python provides a structured set of small, focused exercises aimed at building fluency with Python fundamentals. The tasks emphasize real coding over passive reading, nudging you to write, run, and iterate on solutions. Exercises commonly target strings, lists, dictionaries, control flow, functions, classes, and common algorithms, reinforcing idiomatic Python patterns. Many problems are intentionally minimal in boilerplate so you can concentrate on logic and clarity. The collection is well suited to daily practice sessions or warm-ups before tackling more complex projects. ... -
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pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch-tutorial is a highly popular educational repository that teaches deep learning with PyTorch through step-by-step examples and well-structured lessons. It is designed primarily for beginners and intermediate practitioners who want to understand PyTorch fundamentals and quickly move toward building real neural network models. The repository walks users through core concepts such as tensors, autograd, neural network modules, convolutional networks, recurrent networks, and transfer... -
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Think Bayes
Code repository for Think Bayes
...Instead of heavy focus on continuous mathematics or calculus, the book emphasizes learning Bayesian inference by writing Python programs. The project includes code examples, scripts, and environments that correspond to the chapters of the book. Learners can run the code, experiment with probability distributions, compute posterior probabilities, and understand Bayesian updating via simulation and algorithmic methods. The book and code encourage thinking in terms of discrete approximations (sums over distributions) rather than continuous integrals, making it more accessible to many programmers. ... -
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Learn Python the Hard Way
Concise study notes derived from “Learn Python the Hard Way”
This repository contains concise study notes derived from “Learn Python the Hard Way,” organized to reinforce core Python concepts through small, targeted examples. It emphasizes hands-on practice—short scripts, exercises, and explanations that help cement syntax, data structures, functions, and modules. The notes call out common gotchas, idioms, and style preferences so learners form good habits early. Because the content is intentionally compact, it’s easy to revisit a topic quickly when... -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
...This part introduces the main modules in PyTorch and some tools commonly used in deep learning. For this part of the content, Jupyter Notebook is used as a teaching tool here, and readers can modify and run with notebooks and repeat experiments. -
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Acoustic Research Tool (ART)
Acoustic Simulation Library for Frequency and Time Domain Simulations.
...Available models and their parameters can be enumerated and combined to form simulators for complex acoustical structures. Parameters can be specified symbolically by expressions containing other parameter values or global variables. Dependencies between parameters are resolved at run time. However, MuParserX expressions are compiled at design time. Zero-delay loops are detected and reported. -
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AlgoTaurus
An educational game to teach programming.
Write a program to make the AlgoTaurus find the exit. Installation: On Windows -Download the installer -After installation you can run AlgoTaurus from the Start menu. On Linux -Download the source files -Extract archive -Open terminal in the directory you have copied the files to and type 'python algotaurus.py' Use and discuss AlgoTaurus: Some tasks to solve and discuss: Write a program to find the exit. What does the program do? Try to describe/explain it in a higher level language. ... -
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100 numpy exercises
100 numpy exercises (with solutions)
...Markdown and ipython notebook are created programmatically from the source data in source/exercises.ktx. To modify the content of these files, please change the text in the source and run the generators.py module with a python interpreter with the libraries under requirements.txt installed. The keyed text format (ktx) is a minimal human readable key-values to store text (markdown or others) indexed by keys. -
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GTKards
Flashcard program for learning foreign words
To run it for windows you have to install python3 and pygi first. Download python: https://www.python.org/downloads/ PyGi for windows: http://pygobjectwin32.sf.net Then downlaod the gtkards source and run it with python3 main.py For linux it should work as it is. -
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Matplotlib tutorial
Matplotlib tutorial for beginner
...As the tutorial builds progressively, learners can gradually advance from simple static plots to more complex visualizations, learning how to control figure size, add multiple subplots, adjust plot aesthetics, and handle different data types. Because it is code-first, users can copy, modify, and run the examples on their own datasets, encouraging experimentation and deepening understanding. -
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Collective Mind Technology
plugin-based framework for systematic and reproducible experimentation
...For example, it includes multi-objective GCC, LLVM and ICC auto-tuning scenarios using shared benchmarks, codelets, data sets, tools, and combined with classification and predictive models. cM includes OpenME interactive interface to open up and expose internals of various third-party tools such as GCC, LLVM, run-time systems, etc. and connect them to cM through dynamic plugins that allows online analysis and tuning of programs and architectures. Live repo: http://c-mind.org/repo -
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ODS3 Virtual Machine Challenge
Virtual Machine Image To Test Penetration Skills
The ODS3 Virtual Machine Challenge are downloadable images that can be run as VMWare or VirtualBox instances. The Idea behind the challenge is to test and exercise web application penetration testing in a controlled environment. These images are great for cyber security students, penetration testers and hobbyist. Care should be taken if installed on an Internet access host as the application are purposely vulnerable to attack and exploitation. -
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Newspaper3k
News, full-text, and article metadata extraction in Python 3
...Works in 10+ languages, English, Chinese, German, Arabic, and more! On python3 you must install newspaper3k, not newspaper. newspaper is our python2 library. Although installing newspaper is simple with pip, you will run into fixable issues if you are trying to install on ubuntu. Source objects are an abstraction of online news media websites like CNN or ESPN. You can initialize them in two different ways. Building a Source will extract its categories, feeds, articles, brand, and description for you. You may also provide configuration parameters like language, browser_user_agent, and etc seamlessly.
