#visualization

Explore OpenPromptStudio—a tool offering visual editing of AIGC prompts with Midjourney support. Features include English-Chinese translation, prompt categorization, and easy management with Notion integration. Export visuals as images and enhance collaboration with zeroG browser and Discord. Easy setup with NodeJS or Docker available.

Edit ONNX models efficiently with a visual interface to reduce coding and iterations. Utilize Netron and Flask for easy graph modifications like adding or deleting nodes, renaming, and adjusting model attributes. Features include dynamic input shaping and initializer edits via the ONNX Python API. The tool can be accessed through command line, executable, or Docker, providing flexibility and ease for developers without diving deep into complex codes.

Model Explorer enhances model understanding through hierarchical graph visualizations, dynamic layer management, and GPU-accelerated rendering. Compatible with formats such as TFLite and PyTorch, it supports customization via extensions, accessible both locally and on Hugging Face. Comprehensive resources aid integration and adaptation.

TensorWatch offers flexible debugging and visualization for ML, integrating with Jupyter Notebook, and supporting tools like PyTorch and TensorFlow. Features include custom visuals, lazy logging, and diverse plots, aiding model training and prediction explanations. Requires Python 3.x and Graphviz.

DataCap provides a versatile platform for data transformation, integration, and visualization across multiple data sources, including both SQL and NoSQL databases. It supports a wide range of database systems and file types, enhancing capabilities such as multi-source data management, data conversion operations, chart creation, and source monitoring. Without overemphasizing tools, it is designed for efficient data handling and visualization, suitable for businesses aiming for insightful data management.

Domain Message Flow Modelling offers tools to create diagrams for visualizing interactions among systems and bounded contexts. It supports designing loosely-coupled architectures by illustrating message flows in separate or combined formats, enhancing scenario understanding, communication clarity, and identifying improvement areas in message exchange design.

Smile offers a robust platform for machine learning, NLP, and data visualization designed for Java and Scala. It includes advanced capabilities in classification, clustering, regression, and more, leveraging cutting-edge algorithms and data structures. The toolkit seamlessly integrates with Maven and supports APIs for Scala, Kotlin, and Clojure. Featuring visualization tools like SmilePlot and Vega-Lite, it aims to provide efficiency and compatibility across various platforms, making it a valuable resource for developers in data science.

Serie provides a visually enriched terminal experience for viewing Git commit logs, utilizing image display protocols for clear visualization. It serves as an easy-to-use alternative to 'git log --graph --all,' focusing on readability and smooth navigation, supported by options for commit order and display protocol. With simple installation via package managers like Cargo and Homebrew, Serie caters to developers looking for enhanced command-line interactions without additional complexity.

Discover a wide array of MONAI tutorials for incorporating deep learning into medical imaging processes. Includes examples on 2D and 3D tasks like classification, segmentation, and regression using PyTorch. Understand the use of platforms such as Jupyter Notebook and Colab, as well as leveraging GPU resources. Also covers experiment management, federated learning, digital pathology, and deployment strategies using BentoML, Ray, and Triton, providing valuable insights for both novice and experienced practitioners in medical imaging.

Hotspot provides a detailed interface for Linux performance data analysis, with features like time filtering and off-CPU profiling. Targeted at developers and specialists, it facilitates perf data analysis through an intuitive GUI, offering functionality for data export and collaborative work. Compatible with various Linux distributions, it delivers detailed disassembly and visualization capabilities.