stylegan2-projecting-images
Projecting images to latent space with StyleGAN2. (by woctezuma)
sqliteviz
Instant offline SQL-powered data visualisation in your browser (by lana-k)
stylegan2-projecting-images | sqliteviz | |
---|---|---|
135 | 10 | |
288 | 1,901 | |
- | - | |
10.0 | 7.7 | |
about 1 year ago | 4 months ago | |
Jupyter Notebook | JavaScript | |
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
stylegan2-projecting-images
Posts with mentions or reviews of stylegan2-projecting-images.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-15.
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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
-
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.
sqliteviz
Posts with mentions or reviews of sqliteviz.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-24.
- SQLite Db Admin in the Browser
- Sqlite3 Utility on the Browser
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Best apps for transitioning from Spreadsheets to SQLite?
Regarding visualization tools, sqliteviz has proven to be the best I've found so far. Their web app runs locally but has some trackers, so I run it locally via a simple, static HTTP server. Falcon and Redash seem like overkill for my needs.
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Ask HN: What do you use for basic data analysis, visuals, and graphing?
If I'm not trying to build a very specific graph or chart, and just exploring data I usually use either Rawgraphs or Sqliteviz. Rawgraphs is nice if you just want to swap visualizations out with smaller data as is, sqliteviz seems to handle much larger datasets and let's you use SQL if you want to change the resultset. Both seem to keep data local too and I know sqliteviz works offline, rawgraphs might too.
https://www.rawgraphs.io/
https://sqliteviz.com/
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Awesome SQLite
sqliteviz - Instant offline SQL-powered data visualisation in your browser
- A fast SQLite PWA notebook for CSV files
- A stab at pivot/BI visualization in SQL-based offline-first PWA
- Sqliteviz is a single-page offline-first web app for fully client-side visualisation of SQLite databases or CSV files
- Offline-First PWA for Plotly Visualization of CSV via SQLite
What are some alternatives?
When comparing stylegan2-projecting-images and sqliteviz you can also consider the following projects:
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
dtale - Visualizer for pandas data structures
stable-diffusion-webui-colab - stable diffusion webui colab
sqlite-utils - Python CLI utility and library for manipulating SQLite databases
gimp-stable-diffusion
Tablesaw - Java dataframe and visualization library
discoart - 🪩 Create Disco Diffusion artworks in one line
falcon - Free, open-source SQL client for Windows and Mac 🦅
quickstart-android - Firebase Quickstart Samples for Android
sqlite-plus - The ultimate set of SQLite extensions
comfyui-colab - comfyui colabs templates new nodes
chorus - Clone Hero-friendly Organized Repository of User-provided Songs
stylegan2-projecting-images vs fast-stable-diffusion
sqliteviz vs dtale
stylegan2-projecting-images vs stable-diffusion-webui-colab
sqliteviz vs sqlite-utils
stylegan2-projecting-images vs gimp-stable-diffusion
sqliteviz vs Tablesaw
stylegan2-projecting-images vs discoart
sqliteviz vs falcon
stylegan2-projecting-images vs quickstart-android
sqliteviz vs sqlite-plus
stylegan2-projecting-images vs comfyui-colab
sqliteviz vs chorus