vega
stylegan2-projecting-images
vega | stylegan2-projecting-images | |
---|---|---|
17 | 135 | |
10,856 | 282 | |
0.4% | - | |
8.2 | 10.0 | |
4 days ago | about 1 year ago | |
JavaScript | Jupyter Notebook | |
BSD 3-clause "New" or "Revised" License | MIT License |
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.
vega
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Show HN: Minard – Generate beautiful charts with natural language
Hi HN – Excited to share a beta for Minard, a new data visualization toolkit we've been working on that lets you generate publication-quality charts with simple natural language (throw away your matplotlib docs and rejoice!).
Upload or import CSVs, Excel, and JSON, give it a spin, and please let us know what you think! (Long format data works best for now)
For those curious, the stack is a simple Django app with HTMX/Alpine and all of the charts are specified and rendered as Vega (https://vega.github.io/vega/). Lots of LLM function calling under the hood as well.
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Plotting XGBoost Models with Elixir
I recently added support for plotting XGBoost models using Vega (https://vega.github.io/vega/) into the XGBoost Elixir API (https://github.com/acalejos/exgboost).
Since EXGBoost supports loading trained models across different APIs, you can even train using the Python API and then plot using this Elixir API if you prefer.
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[OC] Most In-Demand Programming Languages from Jan-2022 to Jun-2023
The Data Source is from devjobsscanner (I am basically the owner, so I have the data) an the tool used to make the chart is Vega
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If you had to pick a library from another language (Rust, JS, etc.) that isn’t currently available in Python and have it instantly converted into Python for you to use, what would it be?
It’s based on Vega https://vega.github.io/vega/ which means it’s an already matured backend. Vega-lite is the Javascript package and Altair is the Python.
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Does anyone know how to get Visio experience while in between jobs?
Site:: https://vega.github.io/vega/
- Ask HN: What do you use for basic data analysis, visuals, and graphing?
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Launched my ADHD productivity app on product hunt - would love your support
Eh, I have no reason to, and not much interest in PHP anymore. Things like Vega seem really cool.
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[OC] Salaries Distribution by Programming Languages in 2022
This chart is make with Vega (and also all the charts from the article). Data source is from devjobsscanner and contains about 10 Million dev jobs offers, which only a small subset contain salary information thought.
- Angular + Line Chart
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Simple plotting/graphing crate suggestions
Not that I'm working on it, but I'd love to see a vega stack in rust.
stylegan2-projecting-images
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Getting Started with Gemma Models
A Colab notebook.
- Welcome to Colaboratory
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A playground to practice differential privacy - Antigranular
To play with the dataset, we first must create a Jupyter notebook, a powerful and popular tool among data engineers. I created mine on Google Colab.
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Topic and Subtopic Extraction with the Google Gemini Pro
Please head over to the Google Colab
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How do I begin building AI tools for myself?
But regardless of what you want to do, you'll probably use Python. In this context, a good way to work with Python is using Jupyter Notebooks. So you should start with installing Python and Jupyter and go from there. If you want to get started without installing anything, Google Colab gives you a remote Jupyter Notebook which runs in the browser for free.
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教程:使用 Google Colab 安全地转发 B 站视频
访问 Google Colab 。
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Journey into Jupyter Notebooks: A Beginner's Guide
Remember school days when you'd share notes with classmates? Jupyter takes that spirit and amplifies it. Once you've crafted your Notebook, you can share it with peers, collaborators, and the world. Platforms like GitHub and Google's Colab natively render Jupyter Notebooks. It's like penning an open letter to the world but in a delightful mix of code, text, and visuals.
- This feels like an obvious question, but if I load a pickle file that is 1GB in size, is it taking up 1GB of memory?
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Leveraging Google Colab to run Postgres: A Comprehensive Guide
Open your web browser and navigate to Google Colab.
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No excuses to start working with Python
Using Google Colab you can develop Python codes, similar to Jupyter Notebooks. You will have an environment prepared with various Python libraries. In addition you have tips on small codes for development, some tutorials, gihub connection, cloud -saved notebooks and more.
What are some alternatives?
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
Chart.js - Simple HTML5 Charts using the <canvas> tag
stable-diffusion-webui-colab - stable diffusion webui colab
Highcharts JS - Highcharts JS, the JavaScript charting framework
gimp-stable-diffusion
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
discoart - 🪩 Create Disco Diffusion artworks in one line
c3 - :bar_chart: A D3-based reusable chart library
quickstart-android - Firebase Quickstart Samples for Android
Altair - Declarative statistical visualization library for Python
comfyui-colab - comfyui colabs templates new nodes