Search Results for "code visualization"
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Showing 28 open source projects for "code visualization"
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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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Book1_Python-For-Beginners
The Iris Book: Addition, Subtraction, Multiplication, and Division
...The repository emphasizes clarity and gradual skill building, starting from fundamental syntax and moving toward practical programming patterns. It integrates visual aids and annotated code examples to help learners understand not just how Python works but why certain patterns are used. The material is structured to support self-paced learning, making it suitable for students, career switchers, and hobbyists. Because the book is part of a larger data science pathway, it also prepares readers for later work in visualization and machine learning. ... -
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MathMod
MathMod is a mathematical modeling software
MathMod is a portable interactive plotting and graphing program for Windows, Linux, MacOSX and many other platforms. MathMod allows to plot 3D mathematical surfaces, described by implicit or parametric equations, and offers a very large database of model samples that can be generated with it. It's Free and Open Source. Change-log for MathMod-13.0 (15/11/2025) 1) Scripts generator to add thickness to iso/parametric surfaces 2) Undo/Redo commands for navigating through previous... -
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K3DSurf (now MathMod) is a program to visualize and manipulate Mathematical models in three, four, five and six dimensions. K3DSurf supports Parametric equations and Isosurfaces. ****** Welcome to the realm of complex numbers! Change-log for MathMod-11.1 (16/06/2021) 1) Support of graphing functions with complex numbers Z=u+iv in 3D and 4D spaces (demo scripts: "Complex3D_xx" and "Complex4D_Saddle") 2) Added support for HSV (hue, saturation, brightness) coloring model (script:...
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UnityMol
Molecular viewer and prototyping framework
!!! New website is https://unity.mol3d.tech and new releases/source code are now on Github : https://github.com/LBT-CNRS/UnityMol-Releases !!!! Implementation of a visualization prototype for molecular structures and networks using the Unity3D game engine. Implementation of numerous graphical methods as spheres, particle systems, bond, etc.. as well as our recent HyperBalls methodology (see: www.hyperballs.sf.net). -
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Python Data Science Handbook
Python Data Science Handbook: full text in Jupyter Notebooks
...The project is designed for data scientists, researchers, and anyone transitioning into Python-based data work; it assumes you already know basic Python and focuses more on how to use the ecosystem effectively. Each chapter is a standalone Jupyter notebook, with runnable code, explanatory prose, visuals, and examples showing how to handle data-wrangling, exploratory data analysis, machine learning workflows, and visualization. The repository is freely available and the code is released under the MIT license; the textual content is released under a Creative Commons license. Users can also launch the notebooks in Google Colab or Binder directly, making it extremely accessible. -
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Catalyst
Accelerated deep learning R&D
...PyTorch 1.1+, and has been tested on Ubuntu 16.04/18.04/20.04, macOS 10.15, Windows 10 and Windows Subsystem for Linux. It's part of the PyTorch Ecosystem, as well as the Catalyst Ecosystem which includes Alchemy (experiments logging & visualization) and Reaction (convenient deep learning models serving). -
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LeetCode Animation
Demonstrate all the questions on LeetCode in the form of animation
LeetCodeAnimation is an educational open source project by MisterBooo that visually demonstrates algorithm problems from LeetCode through animations. The goal of the project is to help learners understand complex algorithmic concepts intuitively by showing step-by-step animated explanations instead of relying solely on static code or text. Each animation corresponds to a specific problem and illustrates how data structures and algorithms operate dynamically, making it easier to grasp their... -
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Statistics for Data Scientists
"Statistics for Data Scientists: 50 Essential Concepts"
...It aims to demystify the bridge between textbook statistics and empirical modeling by walking through assumption checking, visualization, interpreting outputs, and pitfalls of misuse. Throughout, the content emphasizes clarity and accessibility, showing not just how to run statistical tests or build models, but what they mean and when one method is preferred over another. -
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Lucid
A collection of infrastructure and tools for research
Lucid is a collection of infrastructure and tools for research in neural network interpretability. Lucid is research code, not production code. We provide no guarantee it will work for your use case. Lucid is maintained by volunteers who are unable to provide significant technical support. Start visualizing neural networks with no setup. The following notebooks run right from your browser, thanks to Collaboratory. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. ... -
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R4DS (R for Data Science)
R for data science: a book
“R for Data Science” (r4ds) is the source material (book + examples) by Hadley Wickham et al., intended to teach data science using R and the tidyverse. It covers the workflow from importing data, tidying, transforming, visualizing, modelling, communicating results, and programming in R. The repository contains the source files (Quarto / RMarkdown), example datasets, visualizations, exercises, and all content needed to build the book. Includes many example datasets, diagrams, code samples,... -
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Python Tutorials
Machine Learning Tutorials
...This includes foundational Python concepts, data processing with libraries like NumPy and pandas, threading and multiprocessing for concurrency, and practical use of libraries such as Matplotlib for data visualization. It also provides tutorials on machine learning frameworks and concepts, including TensorFlow, PyTorch, Keras, Scikit-Learn, and reinforcement learning techniques. Each section contains organized code and explanations designed to help learners understand the underlying mechanics of Python and common computational approaches. -
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Tensorflow 2017 Tutorials
Tensorflow tutorial from basic to hard
...Beyond the basics, the project includes examples of convolutional neural networks, recurrent networks, autoencoders, reinforcement learning, generative adversarial networks, and transfer learning workflows. By pairing code examples with conceptual explanations, the tutorials make abstract machine learning ideas accessible and encourage experimentation with TensorBoard visualization and distributed training. -
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Pascal NUCLEUS (GUI/VM)
Portable Pascal GUI Library for Atari ST/TT/MSDOS
NOTE: As of r816, Nucleus source code is licensed under GPLv3. (8th Oct 2017) Nu|cleus [ˈnjuːklɪəs] - The central and most important part of an object, movement, or group, forming the basis for its activity and growth. This is yet another long-term project (YALP?). The aim is to write a portable GUI/OS for Atari ST, Amiga and DOS. The code must be small, fast and support modern GUI features. ie: Embedded component controls. The code current compiles with Highspeed Pascal (Atari ST)... -
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Deep Learning for Medical Applications
Deep Learning Papers on Medical Image Analysis
...It includes Jupyter notebooks, model architectures, data preprocessing pipelines, and evaluation scripts specific to medical imaging tasks. The repository may also contain domain-specific modules: loss functions like Dice, focal loss, metrics such as sensitivity/recall/IoU, and visualization utilities for overlaying segmentation masks. -
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RNAseq Tutorial
Informatics for RNA-seq: A web resource for analysis on the cloud
rnaseq_tutorial is a tutorial and educational resource created by the Griffith Lab that guides users through the steps of RNA-seq data analysis. It includes working pipelines for alignment, differential expression, alternative splicing, visualization, and interpretation. It is designed to run in the cloud or local environments, providing introductory material on file formats, reference genomes / annotation, QC, mapping, quantifying expression, visualizing results, etc. The version in that... -
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Object Graph Visualizer
A modeling tool for software engineers (OO)
Object Graph Visualizer is a tool primarily meant to be used in CS courses to help new students understand the Object Oriented paradigm and patterns. Classes and objects - that can be part of a software project - are visualised in 3D: The classes stay In the xz-plane in form of an UML class diagram. Directly above in the y-axis objects can be instantiated as an object diagram. Classes can be connected with all sorts of relations (Associations, Compositions, Generalization, etc.), objects... -
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Matplotlib tutorial
Matplotlib tutorial for beginner
...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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JChart2D
jchart2d is a real-time charting library written in java.
JChart2D is a easy to use component for displaying two- dimensional traces in a coordinate system written in Java. It supports real-time (animated) charting, custom trace rendering, Multithreading, viewports, automatic scaling and labels. Former UI controls (right click context menu, file menu) have been ported to the subproject jchart2d-uimenu (https://sourceforge.net/projects/jchart2d-uimenu.jchart2d.p/) for the benefit of having no dependencies to 3rd party libraries. -
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KMeansAniX
Animation of kmeans clustering using X Window System
Open source animation of kmeans clustering in X Window System using the C++ libplotter library. Supports Linux, Mac, and BSD. Includes common initialization methods such as Forgy, Macqueen, random, and angular. Sample videos are available through the Files Tab above. The SVN repo is accessible thorugh the Code Tab above. Requires a C++ compiler, libplot-dev, and libncurses5-dev Mac alternative to libplot-dev: macports plotutils +x11 -
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Flatland VR
Flatland is the virtual environment for Virtual Reality.
Flatland is the virtual environment developed to perform these investigations. Using Flatland as the base environment scientists can visualize and explore both their data and the computations that manipulate that data. Imagine, if you will, a scientist able to examine the real-time results of a simulation and, when he notices an anomally he would like to investigate, he turns to the program running the simulation and examines the code, possibly changing it on the fly. This is the dream... -
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An important tool for Algorithm Visualization (AV) developers is a repository of good examples of existing AVs, including source code. The goal of this site is to build a collection of AV implementations from a variety of developers in the AV community.
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MSR Tools is a source code evolution analysis tool. It consists of a framework for mining software repositories and tools for metric calculation, visualization, defect prediction.
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Pure Java implementation of an interactive 3d graph rendering engine and editor using a spring embedder algorithm. Nice looking sterile real time 3d environment. Feel free to extend our project and build something awesome, just let us know please :D
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Code libraries and media files contributed by Whoola, Inc. Includes Whoola Cyberspace, a virtual reality web browser with fly-through hyperlinks. The source code includes a COLLADA loader for Xith. Click on the "Home Page" link above to install.
