wildduck
DeepSpeech
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wildduck | DeepSpeech | |
---|---|---|
15 | 67 | |
1,829 | 24,278 | |
0.9% | 1.4% | |
9.2 | 0.0 | |
6 days ago | 2 months ago | |
JavaScript | C++ | |
European Union Public License 1.2 | Mozilla Public 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.
wildduck
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Ask HN: What do you think about EUPL in comparison to other copyleft licences?
Nodemailer author here. I now publish all my libraries/tools (like Nodemailer) under some permissive license (MIT, MIT-0, ISC). This gives the opportunity to use such a library without issues, and the end user never knows about these tools anyway. For example if I build a OSS software and commercial software that both use such library, then it is easier to manage it under permissive license - I don't want copyleft licenses turning up in my commercial software even if I'm the owner.
For OSS applications, I use EUPL (eg. https://wildduck.email/) or AGPL copyleft licenses. The license does not stop anyone using it as an application, but at the same time people are not free to copy, rename and sell it either.
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Ask HN: Just got a brand new server, what do I do first?
- https://wildduck.email/ (E-mail)
Even though I have self-hosted things individually (eg: my Ghost blog on a RasPi connected to my home WiFi), something which I've always been concerned about is the separation of all these services, since they must have APIs and access rules. What's an ideal way of setting up a multi-service server like this, and what security policies should I implement. Additionally what are some must haves that you have running on your servers?
I understand self-hosting is a huge labour of love, and I have no qualms in investing time/effort learning :)
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Self-hosted email is the hardest it's ever been, but also the easiest
The largest WildDuck installation manages 100k+ email accounts with around 300TB of stored emails. So it does not always have to be one of the old and tried softwares. https://wildduck.email/
- Email Done My Way, Part 0 – The Journey
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The Case for Unique Email Addresses
or install https://wildduck.email or mail in the box type of server, just host it yourself. Wildduck web interface allows you to make unlimited alias already.
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Email server technology using MongoDB for storage
I want to create an email service. I want to use MongoDB as a storage option. I want to store every email in a that DB but I can't find an email server technology that supports that. Are there any technologies that support that out there? As far as I could go only wildduck supports that but I don't like their documentation, setup, ecosystem, and more, so I'm looking for an alternative technology.
- Need to Host a complete mailserver: Best EMail hosting solution?
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Best, cheap and affordable VPS/Cloud server for hosting Mailcow?
I use: https://github.com/nodemailer/wildduck for Mails.
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What's the biggest missing piece of the puzzle in the self-hosted universe?
I had noticed this/similar feature on wildduck mail server. Checkout the Advanced Security section there, might be what you are looking for.
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Which MTA would you choose on your high-capacity, Self Hosted mail server and Why?
WildDuck https://wildduck.email/
DeepSpeech
- Common Voice
- Ask HN: Speech to text models, are they usable yet?
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Looking to recreate a cool AI assistant project with free tools
- [DeepSpeech](https://github.com/mozilla/DeepSpeech) rather than Whisper for offline speech-to-text
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest way to implement it using free, open-source software. Here's what he used originally, followed by some open source candidates I'm considering but would love feedback and advice before starting: Original Tools: - YoloV8 does the heavy lifting with the object detection - OpenAI Whisper handles voice - GPT-4 handles the “AI” - Google Custom Search Engine handles web browsing - MacOS/iOS handles streaming the video from my iPhone to my Mac - Python for the rest Open Source Alternatives: - [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection - Replacing GPT-4 is still a challenge as I know there are some good open-source LLms like Llama 2, but I don't know how to apply this in the code perhaps in the form of api - [DeepSpeech](https://github.com/mozilla/DeepSpeech) rather than Whisper for offline speech-to-text - [Coqui TTS](https://github.com/coqui-ai/TTS) instead of Whisper for text-to-speech - Browser automation with [Selenium](https://www.selenium.dev/) instead of Google Custom Search - Stream video from phone via RTSP instead of iOS integration - Python for rest of code I'm new to working with tools like OpenCV, DeepSpeech, etc so would love any advice on the best way to replicate the original project in an open source way before I dive in. Are there any good guides or better resources out there? What are some pitfalls to avoid? Any help is much appreciated!
- Speech-to-Text in Real Time
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Linux Mint XFCE
algo assim? https://github.com/mozilla/DeepSpeech
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Are there any secure and free auto transcription software ?
If you're not afraid to get a little technical, you could take a look at mozilla/DeepSpeech (installation & usage docs here).
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Web Speech API is (still) broken on Linux circa 2023
There is a lot of TTS and SST development going on (https://github.com/mozilla/TTS; https://github.com/mozilla/DeepSpeech; https://github.com/common-voice/common-voice). That is the only way they work: Contributions from the wild.
- Deepspeech /common voice.
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Mozilla Launches Responsible AI Challenge
Mozilla did release DeepSpeech[0] and Firefox Translation[1] (the latter of which they included in Firefox, to offer client-side webpage translations.)
They definitely have fewer resources than OpenAI, and they do not produce SOTA research (their publications have plummeted to 1/year anyway[2]). So the only way for them to make progress is to seek government grants or make challenges like these.
This challenge is unlikely to be profitable for the winning team: the expected value of winnings are likely around $1K when taking into account the probability that another team gets a better rank, but ML research projects are often more expensive (recently, Alpaca spent upwards of $600 on computation alone; and of course pretraining large models is much more expensive). So the main gain will be publicity.
[0]: https://github.com/mozilla/deepspeech
[1]: https://github.com/mozilla/firefox-translations/
[2]: https://research.mozilla.org/
What are some alternatives?
Mailcow - mailcow: dockerized - 🐮 + 🐋 = 💕
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
Mail-in-a-Box - Mail-in-a-Box helps individuals take back control of their email by defining a one-click, easy-to-deploy SMTP+everything else server: a mail server in a box.
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
docker-mailserver - A fullstack but simple mail server (SMTP, IMAP, LDAP, Antispam, Antivirus, etc.) using Docker. [Moved to: https://github.com/docker-mailserver/docker-mailserver]
picovoice - On-device voice assistant platform powered by deep learning
Mailu - Insular email distribution - mail server as Docker images
STT - 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
modoboa - Mail hosting made simple
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Haraka - A fast, highly extensible, and event driven SMTP server
PaddleSpeech - Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.