zingg
gaseous-giganticus
zingg | gaseous-giganticus | |
---|---|---|
23 | 18 | |
890 | 109 | |
2.5% | - | |
9.2 | 5.3 | |
4 days ago | 5 months ago | |
Java | C | |
GNU Affero General Public License v3.0 | 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.
zingg
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Ask HN: What is the most impactful thing you've ever built?
As part of my data consulting, I struggled with identity resolution and started working on scalable no code identity resolution - https://github.com/zinggAI/zingg/ . It has pushed my limits as a software engineer and product builder, and I had to do a lot of learning to build it. Its cool to see people use Zingg in their workflows and save months of working on custom solutions. Big highlight has been North Carolina Open Campaign Data https://crossroads-cx.medium.com/building-open-access-to-nc-...
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How to find open source data science python projects to contribute to?
Check https://github.com/zinggAI/zingg/. We recently added Python to our stack and are looking for help with building dbt-zingg python models, databricks-zingg python notebooks, python api, building a python based front end etc.
- Merging datasets
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is it possible to "fuzzy match" or dedupe columns in Redshift?
If you are open to using a framework for this, check Zingg at https://github.com/zinggAI/zingg. It connects to Redshift, snowflake and other warehouses and can handle multiple columns
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Show HN: Zingg – open-source entity resolution for single source of truth
Thanks for your support. Yes we do ship with some examples and their models which can be run out of the box. We have 3 customer demographic datasets and an ecommerce items matching across Google and Amazon. You can check them here https://github.com/zinggAI/zingg/tree/main/examples
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Question about Github Referring Sites
I have an open source project hosted at https://github.com/zinggAI/zingg/.
- How do I promote the project appropriately?
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GitHub Java Projects to Contribute
Check Zingg out at https://github.com/zinggAI/zingg and let me know if you would like to contribute
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Match over 1 GB of data with inconsistent names
This is interesting, would love to get your feedback on Zingg(https://github.com/zinggAI/zingg) if you are upto it. Thanks!
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Open source entity resolution - need your feedback!
I have released an open source entity resolution tool Zingg(https://github.com/zinggAI/zingg). Zingg uses Spark and ML to build single source of truth directly in the warehouse or the datalake. Would love to hear from the Reddit folks here what they think about it - do you find it useful? what can I do to make it better? any advice on the problem or the solution?
gaseous-giganticus
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Simulating Fluids, Fire, and Smoke in Real-Time
I think the curl noise paper is from 2007: https://www.cs.ubc.ca/~rbridson/docs/bridson-siggraph2007-cu...
I've used the basic idea from that paper to make a surprisingly decent program to create gas-giant planet textures: https://github.com/smcameron/gaseous-giganticus
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Friday Post: What is something you made or solved in C that you are proud off?
Gaseous-giganticus - procedurally generates gas giant planet textures for space games, etc.
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How can I generate realistic planetary cloud cover?
This is what gaseous-giganticus uses. Combined with some other techniques, it can help with making some clouds for earthlike planets, but not in real time. Mentioned here previously. The process I use for making earthlike planets with clouds for Space Nerds in Space is described here.
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Procedural Gas Giant
Here's my own gas giant thingy, which produces (what I imagine to be) decent results, but is quite slow.
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How do i use/compile gaseous giganticus?
Hi. I'm the author of gaseous-giganticus. You do not need to apply the patch, as it was incorporated into the source already a long time ago: https://github.com/smcameron/gaseous-giganticus/commit/b3ca95f2f3975d6ca97029dae166e2daf068b3f0
- Ask HN: What is the most impactful thing you've ever built?
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Aside from hobby and practice, what are some genuinely useful personal apps?
I needed some gas giant textures for planets in my space game so I made this thing, which also ended up getting used by other people for their Kerbal Space Program mods.
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Empyrion -- Galactic Survival - #3 by pavloocheretianyi01 on DeviantArt
Is that gaseous-giganticus output that I spy?
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Best (preferably free) procedural planet texture generators
I've made a couple. For gas giants, gaseous-giganticus. For earthlike, or rocky planets, there's a program called "earthlike.c" in the space-nerds-in-space repo. Other than allowing you to supply an input image to use more or less as a color palette, they don't allow much in terms of customization, though there are quite a few knobs you can turn.
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What is your best project using C?
Most innovative thing, or what I'm most astonished I actually successfully pulled off against all odds, is probably gaseous-giganticus, which is a program that uses curl noise for procedural fluid flow(pdf) on the surface of a sphere to create cubemap textures for procedurally generated gas giant planets.
What are some alternatives?
splink - Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
ebsynth - Fast Example-based Image Synthesis and Style Transfer
clrs
SPH-Fluid-Simulation - A multi-threaded particle-based solver, Smoothed-Particle Hydrodynamics, for the Navier-Stokes equation
rumble - ⛈️ RumbleDB 1.21.0 "Hawthorn blossom" 🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more
texture - Procedural texture generation package.
CLRS - Algorithms implementation in C++ and solutions of questions (both code and math proof) from “Introduction to Algorithms” (3e) (CLRS) in LaTeX.
Noise-Extras - Noise & procedural generation code pieces that I didn't feel needed whole repos all to themselves.
skipledger - Differential privacy solution for maintaining and exposing information from evolving, append-only journals / ledgers.
chip-walo - CHIP-8 Emulator using C and SDL2.
yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
lsblk - List information about block devices in the FreeBSD system.