Tools to Design or Visualize Architecture of Neural Network
- tools
- visualize-data
- visualize-networks
- visualize
70,736 visible repositories in the index
577–600 of 2,506 · Most stars
Tools to Design or Visualize Architecture of Neural Network
🎈 Simple reactive notebooks for Julia
The visual feedback tool for agents.
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
A proven SVG-based JavaScript diagramming library powering exceptional UIs
Automatically visualize your pandas dataframe via a single print! 📊 💡
A library for visualization and creative-coding
Everything that makes working with databases easier
A list of D3 libraries, plugins and utilities
Allows you to emulate an Android native library, and an experimental iOS emulation
This tool has been deprecated. Use Agentic Document Extraction instead.
TranslatedYet another computer-aided comic/manga translation tool powered by deeplearning. Supports one-click machine translation and simple image/text editing.
A vi-like editor based on Plan 9's structural regular expressions
An adaptive scrollable graph view for iOS to visualise simple discrete datasets. Written in Swift.
A command-line based markdown presentation tool.
Web-based Process Visualization (SCADA/HMI/Dashboard) software
A cinematic Git commit replay tool for the terminal, turning your Git history into a living, animated story.
Visualize Ownership and Lifetimes in Rust
The high-speed OpenGL, OpenCL, OpenAL, OpenXR, GLFW, SDL, Vulkan, Assimp, WebGPU, and DirectX bindings library your mother warned you about.
Visualizer for pandas data structures
The Restreamer is a complete streaming server solution for self-hosting. It has a visually appealing user interface and no ongoing license costs. Upload your live stream to YouTube, Twitch, Facebook, Vimeo, or other streaming solutions like Wowza. Receive video data from OBS and publish it with the RTMP and SRT server.
Lightweight and modular C++11 graphics middleware for games and data visualization
Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM
Translated[Three Years of Interviews, Five Years of Mock Interviews] An interview resource platform for AIGC/LLM/AI Agent algorithm engineers. It covers practical interview and written-test experience and core, cross-cycle knowledge for the AI industry, including AIGC, LLM large models, AI Agents, embodied intelligence, traditional deep learning, computer vision, natural language processing, autonomous driving, machine learning, reinforcement learning, big data mining, world models, the metaverse, AGI, and more.