EasyCV
jsoncrack.com
| EasyCV | jsoncrack.com | |
|---|---|---|
| 2 | 32 | |
| 1,686 | 28,518 | |
| 1.5% | - | |
| 6.2 | 9.4 | |
| 16 days ago | 3 days ago | |
| Python | TypeScript | |
| Apache License 2.0 | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
EasyCV
-
FLaNK Stack Weekly for 20 June 2023
All in One Computer Vision https://github.com/alibaba/EasyCV
-
Researchers from the Alibaba Group added their newly developed ‘YOLOX-PAI’ into EasyCV, which is an all-in-one Computer Vision Toolbox
Continue reading | Check out the paper and github link.
jsoncrack.com
-
JSONCrack Codebase Analysis - Part 5 - Toolbar and Bottom bar
They are used in Editor component. Part 4 explains about Editor component.
-
JSONCrack Codebase Analysis — Part 4.2.1.1 — JsonEditor — debouncedUpdateJson
useGraph has a lot going on, but we will look for setGraph as this is the side effect performed in setJson explained above.
-
JSONCrack Codebase Analysis - Part 4.1 - Editor - Panes Component
In this post, let's understand the editor's Panes component used in jsoncrack.com.
-
JSONCrack Codebase Analysis — Part 4 — Editor
Open src/pages/editor.tsx in a new tab and let’s take the top down approach. Let’s first look into the components used.
-
🔥Top 7 Useful Tools for Developers😎
Visit GitHub
- FLaNK Stack Weekly for 20 June 2023
-
jsoncrack.com - what do they use for the graph visuals?
https://github.com/AykutSarac/jsoncrack.com As far as I can see they don't use any package to visualize, but I also need that package, if you find it please let me know!
- JSON Crack - Crack your data into pieces
-
Visualize your JSON, YAML, XML & TOML: Herowand Editor
looks a lot like JSON Crack with added support for additional formats and not being open-source
-
5 useful JSON tools to improve your productivity
As we've seen in this article, there are many different tools available to help us work with JSON data. From visualizing and exploring data with JSON Crack, formatting it with JSON Formatter & Validator, converting it to other formats like CSV with Konklone.io, and validating it against a schema with JSON Schema — these tools can help make working with JSON data much easier and more efficient.
What are some alternatives?
FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
jsonhero-web - JSON Hero is an open-source, beautiful JSON explorer for the web that lets you browse, search and navigate your JSON files at speed. 🚀. Built with 💜 by the Trigger.dev team.
gpt-engineer - Specify what you want it to build, the AI asks for clarification, and then builds it.
jsonvisio.com - 🔮 Seamlessly visualize your JSON data instantly into graphs; paste, import or fetch! [Moved to: https://github.com/AykutSarac/jsoncrack.com]
calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
ascent - Dynamic 3D display for your currently playing song on Last.fm
convolution-vision-transformers - PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
brapi - Acesse o mercado financeiro com uma única API. A API de finanças mais completa do Brasil, simplificando o acesso aos dados financeiros do Brasil.
simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch
react-flow - React Flow | Svelte Flow - Powerful open source libraries for building node-based UIs with React (https://reactflow.dev) or Svelte (https://svelteflow.dev). Ready out-of-the-box and infinitely customizable. [Moved to: https://github.com/xyflow/xyflow]
scenic - Scenic: A Jax Library for Computer Vision Research and Beyond
stability-sdk - SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)