lyra
elasticsearch-py
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lyra | elasticsearch-py | |
---|---|---|
18 | 21 | |
3,720 | 4,139 | |
0.9% | 0.9% | |
0.0 | 8.9 | |
over 1 year ago | 2 days ago | |
C++ | Python | |
Apache License 2.0 | 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.
lyra
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TSAC: Low Bitrate Audio Compression
Since Ballard's codec is "AI" based, can you add google's lyrav2 ( https://github.com/google/lyra ) and Facebook's/meta EnCodec ( https://github.com/facebookresearch/encodec ).
Also I don't seem to be able to access your page, so there might be error.
Finally, when doing opus comparison it's good now to denote if it is using Lace or NoLace decoder post processing filters that became available in opus 1.5 (note, this feature need to be enabled at compile time, and defying decode a new API call needs to be made to force higher complexity decoder) . See https://opus-codec.org/demo/opus-1.5/
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Opus Databending Drumkit
I've thought about doing something similar for google's voice compression lyra https://github.com/google/lyra
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Is it safe to say AV1 for video and OPUS for audio are best codecs respectively?
edit: It seems Lyra is opensource https://github.com/google/lyra
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New Release of Audio Codec "Lyra" 1.3 (43% smaller and 20% faster)
1) https://github.com/google/lyra/releases/tag/v1.3.0
- Release Lyra 1.3.0 · google/lyra - performing arithmetic operations in 8-bit integers instead of 32-bit floats, the new model is 43% smaller (TFLite model size) and 20% faster
- Using AI to compress audio files for quick and easy sharing
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Lyra V2 – a better, faster, and more versatile speech codec
Very impressive.
It'd be interesting to see what the lift would be to get encoding & decoding running in webassembly/wasm. Further, it'd be really neat to try to take something like the tflife_model_wrapper[1] and to get it backed by something like tsjs-tflite[2] perhaps even atop for example tfjs-backend-webgpu[3].
Longer run, the web-nn[4] spec should hopefully simplify/bake-in some of these libraries to the web platform, make running inference much easier. But there's still an interesting challenge & question, that I'm not sure how to tackle; how to take native code, compile it to wasm, but to have some of the implementation provided else-where.
[1] https://github.com/google/lyra/pull/89/files#diff-ed2f131a63...
[2] https://www.npmjs.com/package/@tensorflow/tfjs-tflite
[3] https://www.npmjs.com/package/@tensorflow/tfjs-backend-webgp...
[4] https://www.w3.org/TR/webnn/
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Lyra 1.2.0 released with 5x speed improvement, higher quality speech, selectable bitrate (3.2, 6.0 and 9.2 kb/s), lower latency and Mac and Windows support
You can find an Android, Linux and macOS app here: https://github.com/google/lyra/actions/runs/3156735950
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(Noob): Can Signal implement Lyra-Codec (developed by Google) for better audio quality?
Here's the repository: https://github.com/google/lyra and it's licensed under Apache.
- Lyra 0.0.2 ·The main improvement is the open-source release of the sparse_matmul library code, which was co-developed by Google and DeepMind. no more pre-compiled .so dynamic library binaries and no more restrictions on which toolchain to use, which opens up the door to port onto different platforms
elasticsearch-py
- Verify Connection to Elasticsearch (2021)
- An alternative to Elasticsearch that runs on a few MBs of RAM
- Help With Psort.py -> ELK
- Elastic Open Sources Their Endpoint Security Protection YARA Ruleset
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OpenSearch – open-source search and analytics based on Apache 2.0 Elasticsearch
FD: I have a friend who works at Elastic, though he doesn't really colour my opinions of things.
> Firstly, dick moves like this: https://github.com/elastic/elasticsearch-py/pull/1623
I understand that this is unpopular, but you can make a very strong argument that it's to prevent weird errors in the future. I'm also guilty of littering my code with Asserts to ensure the universe is working fine.
The alternative is to allow it to work and then you end up with weird issues like when you connect mysql client to mariadb server (and vice-versa): https://stackoverflow.com/questions/50169576/mysql-8-0-11-er...
> Secondly, I don't buy the argument from Elastic any more. Yes, the ethical thing to do when you're making money from someone's work is at least contribute back. At the same time though, they're making money from packaging it up and selling it _as a service_. That "as a service" part is where they're making the bucks.
That's just an opinion, yes they have a service, and yes it competes with Amazon. Is it cool for Amazon to take a body of work and sell it without supporting it? Are amazon actually supporting it? Is it the same as Elastic using Lucene? (not really because Elastic submits a the majority of fixes to Lucene, but, you get it).
it's kinda gray, I'm sure Amazon thinks they're the good guy, but it's hard for me to look at Elastic as the bad guy in all this.
- Struggling reading code with type hints
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I Don't Think Elasticsearch Is a Good Logging System
Oh man, https://github.com/elastic/elasticsearch-py/issues/1734 is a disappointing read. I know ES wants to save their business, but alienating users isn't exactly the path to success.
- Elasticsearch adding code to reject connections to OpenSearch clusters or to clusters running open source distributions of ES7
- Official Elasticsearch Python library no longer works with open-source forks
What are some alternatives?
codec2 - Open source speech codec designed for communications quality speech between 700 and 3200 bit/s. The main application is low bandwidth HF/VHF digital radio.
searxng - SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
ESP32_Codec2 - Codec2 library for ESP32 (Arduino)
quickwit - Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
minisearch - Tiny and powerful JavaScript full-text search engine for browser and Node
helm-charts
Bazel - a fast, scalable, multi-language and extensible build system
orama - 🌌 Fast, dependency-free, full-text and vector search engine with typo tolerance, filters, facets, stemming, and more. Works with any JavaScript runtime, browser, server, service!
regex-benchmark - It's just a simple regex benchmark of different programming languages.
qryn - qryn is a polyglot, high-performance observability framework for ClickHouse. Ingest, store and analyze logs, metrics and telemetry traces from any agent supporting Loki, Prometheus, OTLP, Tempo, Elastic, InfluxDB and many more formats and query transparently using Grafana or any other compatible client.
signal-ringrtc-node
evtx2es - A library for fast parse & import of Windows Eventlogs into Elasticsearch.