Search Results for "code visualization" - Page 6
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Showing 605 open source projects for "code visualization"
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DynamicHMC
Implementation of robust dynamic Hamiltonian Monte Carlo methods
Implementation of robust dynamic Hamiltonian Monte Carlo methods in Julia. In contrast to frameworks that utilize a directed acyclic graph to build a posterior for a Bayesian model from small components, this package requires that you code a log-density function of the posterior in Julia. Derivatives can be provided manually, or using automatic differentiation. Consequently, this package requires that the user is comfortable with the basics of the theory of Bayesian inference, to the extent... -
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JupyterLite
Wasm powered Jupyter running in the browser
JupyterLite is a browser-based distribution of the Jupyter ecosystem that enables interactive computing entirely within a web browser without requiring a backend server. Built using JupyterLab components and powered by WebAssembly technologies, it allows users to run Python and other language kernels directly in the browser through tools like Pyodide or Xeus. This architecture eliminates the need for installation or server infrastructure, making it highly accessible for education,... -
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Chokidar
Minimal and efficient cross-platform file watching library
Chokidar is a solution for all the users of Node.js fs.watch who are tired of it not reporting filenames on MacOS and events at all when using editors like Sublime on MacOS. Node.js fs.watch often reports events twice, emits most changes as rename, and it does not provide an easy way to recursively watch file trees nor supports recursive watching on Linux. Same as with Node.js fs.watchFile. Therefore, Chokidar resolves these problems. Initially made for Brunch (an ultra-swift web app build... -
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react-rollup-boilerplate
Boilerplate for creating React component libraries
This boilerplate is tailored for creating React component libraries, utilizing Rollup.js to bundle components into ES Modules and CommonJS formats. It incorporates TypeScript for type safety and Storybook for interactive component development, streamlining the process of building and distributing reusable React components. -
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Archify
Agent skill for beautiful, verifiable architecture, workflow
Archify is an agent skill and rendering system for turning codebases or system descriptions into polished technical diagrams. It works with coding agents such as Claude Code, Codex CLI, Cursor, and OpenCode. Agents generate typed JSON representations that Archify deterministically compiles into self-contained HTML and SVG. It supports architecture, workflow, sequence, data-flow, and lifecycle diagrams. Interactive viewers provide search, route tracing, upstream and downstream exploration,... -
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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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LossFunctions.jl
Julia package of loss functions for machine learning
This package represents a community effort to centralize the definition and implementation of loss functions in Julia. As such, it is a part of the JuliaML ecosystem. The sole purpose of this package is to provide an efficient and extensible implementation of various loss functions used throughout Machine Learning (ML). It is thus intended to serve as a special purpose back-end for other ML libraries that require losses to accomplish their tasks. To that end we provide a considerable amount... -
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SAM 3D Body
Code for running inference with the SAM 3D Body Model 3DB
SAM 3D Body is a promptable model for single-image full-body 3D human mesh recovery, designed to estimate detailed human pose and shape from just one RGB image. It reconstructs the full body, including feet and hands, using the Momentum Human Rig (MHR), a parametric mesh representation that decouples skeletal structure from surface shape for more accurate and interpretable results. The model is trained to be robust in diverse, in-the-wild conditions, so it handles varied clothing,... -
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ngx-markdown
Angular markdown component/directive/pipe/service to parse static
Angular markdown component/directive/pipe/service to parse static, dynamic or remote content to HTML with syntax highlight and more. As the library is using Marked parser you will need to add node_modules/marked/marked.min.js to your application. To use the line numbers plugin that shows line numbers in code blocks, in addition to Prism.js configuration files, you will need to include the following files from prismjs/plugins/line-numbers directory to your application. Using markdown... -
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IVY
The Unified Machine Learning Framework
Take any code that you'd like to include. For example, an existing TensorFlow model, and some useful functions from both PyTorch and NumPy libraries. Choose any framework for writing your higher-level pipeline, including data loading, distributed training, analytics, logging, visualization etc. Choose any backend framework which should be used under the hood, for running this entire pipeline. -
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NBInclude.jl
import code from IJulia Jupyter notebooks into Julia programs
NBInclude is a package for the Julia language that allows you to include and execute IJulia (Julia-language Jupyter) notebook files just as you would include an ordinary Julia file. The goal of this package is to make notebook files just as easy to incorporate into Julia programs as ordinary Julia (.jl) files, giving you the advantages of a notebook (integrated code, formatted text, equations, graphics, and other results) while retaining the modularity and re-usability of .jl files. -
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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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SynaBun
Persistent vector memory for AI assistants
...It functions as a local-first solution that stores and retrieves contextual knowledge across sessions using a built-in vector database powered by embeddings, eliminating the need for external APIs, cloud services, or Docker dependencies. The system integrates tightly with developer workflows by running alongside tools like Claude Code, enabling automatic memory capture, retrieval, and contextual augmentation through lifecycle hooks and commands. One of its defining characteristics is its Neural Interface, a browser-based 3D visualization that represents stored memories as nodes in an interactive graph, allowing users to explore relationships, edit entries, and manage knowledge visually. -
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clusterProfiler
A universal enrichment tool for interpreting omics data
...The package connects to multiple knowledge bases—such as Gene Ontology, KEGG, Reactome, Disease Ontology, MeSH and others—through a consistent interface so you can query different biological lenses without rewriting code. It is designed for breadth, covering coding and non-coding features and thousands of organisms by leveraging continuously updated annotations. Results are returned in tidy, manipulation-friendly structures and pair naturally with rich visualization functions (via companion tooling) to summarize pathways, terms, and gene–set relationships. -
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Gridap.jl
Grid-based approximation of partial differential equations in Julia
Gridap provides a set of tools for the grid-based approximation of partial differential equations (PDEs) written in the Julia programming language. The library currently supports linear and nonlinear PDE systems for scalar and vector fields, single and multi-field problems, conforming and nonconforming finite element (FE) discretizations, on structured and unstructured meshes of simplices and n-cubes. It also provides methods for time integration. Gridap is extensible and modular. One can... -
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Python for Data Analysis
Materials and IPython notebooks for "Python for Data Analysis"
Python for Data Analysis is the official companion repository for Python for Data Analysis, 3rd Edition by Wes McKinney. It contains the datasets, examples, and IPython notebooks used throughout the book. The repository helps readers practice Python data analysis concepts directly in Jupyter Notebook. Its chapters cover Python basics, NumPy, pandas, data loading, cleaning, wrangling, visualization, time series, modeling libraries, and full analysis examples. The project includes setup... -
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Concourse
Concourse is a container-based continuous thing-doer written in Go
...Each job has a build plan declaring the job's input resources and what to run with them when they change. Your pipeline is then visualized in the web UI, taking only one click to get from a failed job to seeing why it failed. The visualization provides a "gut check" feedback loop: if it looks wrong, it probably is wrong. Jobs can depend on other jobs by configuring passed constraints. The resulting chain of jobs and resources is a dependency graph that continuously pushes your project forward, from source code to production. -
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Open Claude Cowork
Open Source version of Claude Cowork built with Claude Code
Open Claude Cowork is an open source desktop chat application that brings the power of autonomous, agent-style AI workflows to your local machine by combining the Claude Agent SDK with the Composio Tool Router, enabling developers and power users to build intelligent assistants that can interact with a vast array of external tools and services. It offers a native Electron-based interface for macOS, Windows, and Linux that feels familiar and modern, supporting persistent, multi-session... -
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SPX
A simple & straight-to-the-point PHP profiling extension
SPX, which stands for Simple Profiling eXtension, is just another profiling extension for PHP. It differentiates itself from other similar extensions as being totally free and confined to your infrastructure (i.e. no data leaks to a SaaS). Very simple to use: just set an environment variable (command line) or switch on a radio button (web request) to profile your script. Thus, you are free of manually instrumenting your code (Ctrl-C a long running command line script is even supported).... -
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DeepSeek-V3.2-Exp
An experimental version of DeepSeek model
DeepSeek-V3.2-Exp is an experimental release of the DeepSeek model family, intended as a stepping stone toward the next generation architecture. The key innovation in this version is DeepSeek Sparse Attention (DSA), a sparse attention mechanism that aims to optimize training and inference efficiency in long-context settings without degrading output quality. According to the authors, they aligned the training setup of V3.2-Exp with V3.1-Terminus so that benchmark results remain largely... -
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AWS Neuron
Powering Amazon custom machine learning chips
...Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. You can continue to use the same ML frameworks you use today and migrate your software onto Inf1 instances with minimal code changes and without tie-in to vendor-specific solutions. Neuron is pre-integrated into popular machine learning frameworks like TensorFlow, MXNet and Pytorch to provide a seamless training-to-inference workflow. It includes a compiler, runtime driver, as well as debug and profiling utilities with a TensorBoard plugin for visualization. -
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JSON Editor
A web-based tool to view, edit, format, and validate JSON
JSON Editor is a web-based JSON editing and visualization tool designed for viewing, editing, formatting, validating, and transforming JSON documents in multiple interactive modes. The project provides several editing interfaces including tree view, code editor, form-based editing, and plain text modes, allowing users to work with structured data in the format most suitable for their workflow. -
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Wflow.jl
Hydrological modeling
Wflow is Deltares’ solution for modeling hydrological processes, allowing users to account for precipitation, interception, snow accumulation and melt, evapotranspiration, soil water, surface water and groundwater recharge in a fully distributed environment. Successfully applied worldwide for analyzing flood hazards, drought, climate change impacts and land use changes, wflow is growing to be a leader in hydrology solutions. Wflow is conceived as a framework, within which multiple... -
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patat
Terminal-based presentations using Pandoc
patat (Presentations Atop The ANSI Terminal) is a small tool that allows you to show presentations using only an ANSI terminal. It does not require ncurses. Leverages the great Pandoc library to support many input formats including Literate Haskell. Supports smart slide splitting. Slides can be split up into multiple fragments. There is a live reload mode. Theming support including 24-bit RGB. Auto advancing with configurable delay. Optionally re-wrapping text to terminal width with proper... -
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TensorBoardX
tensorboard for pytorch (and chainer, mxnet, numpy, etc.)
The SummaryWriter class provides a high-level API to create an event file in a given directory and add summaries and events to it. The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training. TensorboardX now supports logging directly to Comet. Comet is a free cloud based solution that allows you to automatically track, compare and explain your experiments. It adds a...
