compress
Gorgonia
| compress | Gorgonia | |
|---|---|---|
| 17 | 21 | |
| 4,506 | 5,350 | |
| - | 0.9% | |
| 8.4 | 2.5 | |
| 21 days ago | about 1 month ago | |
| Go | Go | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
compress
- Chrome Feature: ZSTD Content-Encoding
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Show HN: Gogosseract, a Go Lib for CGo-Free Tesseract OCR via Wazero
There's a pure-go zstd at https://github.com/klauspost/compress - it's likely faster than running the upstream zstd under Wazero.
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When is go not a good choice?
It's no surprise that "fast" Go libraries are actually just assembly: https://github.com/klauspost/compress/blob/master/zstd/seqdec_amd64.s (just one file out of several, for just one architecture, for just one compression algorithm!)
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zstd
There is a reasonably feature complete implementation of Zstd for Go: https://github.com/klauspost/compress/tree/master/zstd
It may not offer the same API 1:1, but it has no interoperability issues that I've encountered. So, I just think no one has bothered to implement it in Rust because most use cases don't mind the added bloat you're talking about. Plus, other comments I've seen suggest that you can actually tune the size of the zstd library, although I'm not sure if the Rust bindings expose that.
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Medical image parser in Go
Thanks again for your review/comment!!! Btw, are you the author of this repo https://github.com/klauspost/compress because I love it!!!
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Ask HN: Does https://github.com/klauspost/compress returns 502 for you?
I noticed Github returns "This page is taking too long to load" with status code 502 for https://github.com/klauspost/compress but rest of their urls works fine. Anyone know why would that be the case ?
Cloning the repo works perfectly well.
git clone https://github.com/klauspost/compress
- S2 Compression
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Zstandard – Real-time data compression algorithm
Recent versions of zstd definitely don't obsolete LZ4, or else I don't think the author would still be contributing to both...
And if you're going to play with Snappy, you might find S2, which was linked on HN relatively recently, interesting. [1]
[1] - https://github.com/klauspost/compress/tree/master/s2
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Restic 0.14.0 Released (with highly anticipated feature – compression)
Compression method appears to be zstandard and uses https://github.com/klauspost/compress, for those wondering like I was.
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MinIO Object Placement Strategy in Distributed deployments
OMG u/klauspost is this you? https://github.com/klauspost/compress/tree/master/s2
Gorgonia
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Machine Learning en GO! 🤯
GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.
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Machine Learning
I did end up writing and using a custom library for Random Forest (it's also in AwesomGo) in one real-world project (detecting Alzheimer's and Parkinson's from speech from a mobile app) - https://github.com/malaschitz/randomForest I had better results than the team who used TensorFlow and most importantly I didn't have to use any other technology than Go. For NN's it's probably best to use https://gorgonia.org/ - but it's not exactly a user friendly library. But there is a whole book on it - Hands-On Deep Learning with Go.
- Why isn’t Go used in AI/ML?
- GoLang AI/ML open source projects
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A systematic framework for technical documentation authoring
Perhaps it's a product of French culture, but because Gorgonia[0] has a number of French contributors, this was actually the way we structured our documentation.
But this is the first time I've heard of the name of the framework.
[0]: https://gorgonia.org
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[D] When was the last time you wrote a custom neural net?
Oh it's.Gorgonia
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Most Popular GoLang Frameworks
Website: https://gorgonia.org
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[D] What framework are you using?
I use Gorgonia.
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Why can't Go be popular for machine learning?
What you think about this https://github.com/gorgonia/gorgonia ? I also recall there is something else out there but can't find it at the moment...
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Neural networks in golang
Yep, all of them: https://github.com/gorgonia/gorgonia
What are some alternatives?
nodejs-js-compress-benchmark - Benchmark NodeJS/JS compression libraries
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
go - The Go programming language
GoLearn - Machine Learning for Go
sqlite-zstd - Transparent dictionary-based row-level compression for SQLite
tfgo - Tensorflow + Go, the gopher way
easyjson - Fast JSON serializer for golang.
goml - On-line Machine Learning in Go (and so much more)
jsoniter - A high-performance 100% compatible drop-in replacement of "encoding/json"
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
gzipped - Replacement for golang http.FileServer which supports precompressed static assets.
bayesian - Naive Bayesian Classification for Golang.