asigalov61 (Alex)

reacted to projectlosangeles's post with ❤️ 25 days ago

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2544

🔥Check out Project Los Angeles new SOTA searchable MIDI dataset! 🔥

projectlosangeles/Discover-MIDI-Dataset

The dataset features over 6.74M+ unique searchable MIDIs and is tailored for MIDI music discovery and symbolic music AI!

If you like the dataset, please❤️

Sincerely,

Alex

Project Los Angeles
Tegridy Code 2025

reacted to their post with 🔥 about 2 months ago

Post

3534

🔥🎵 ➕ 🖹 🔥Check out my new large-scale MIDI + Lyrics dataset!!!

asigalov61/Lyrics-MIDI-Dataset

~179k MIDIs with corresponding Lyrics to play with!!! 🤗

If you liked the dataset, please ❤️

Any feedback and/or suggestions are also appreciated 🤗

posted an update about 2 months ago

Post

3534

🔥🎵 ➕ 🖹 🔥Check out my new large-scale MIDI + Lyrics dataset!!!

asigalov61/Lyrics-MIDI-Dataset

~179k MIDIs with corresponding Lyrics to play with!!! 🤗

If you liked the dataset, please ❤️

Any feedback and/or suggestions are also appreciated 🤗

replied to thecollabagepatch's post about 2 months ago

@thecollabagepatch Thank you so much :)

I will try it shortly and I will let you know for sure :)

Thanks for discord invite. I will stop by soon as well.

replied to thecollabagepatch's post 2 months ago

@thecollabagepatch Thank you very much for doing this :)I really appreciate it:)

I am on Win 11 but I also use cloud Linux instances. So, yes, if you can do the Win one, I would be happy to try it out and give you feedback.

Thanks again!

replied to thecollabagepatch's post 2 months ago

@thecollabagepatch Yes, if you can add seamless native support for Audacity, it will be really cool :)

Audacity is very popular and it is also open source so I think it will be a nice addition to your project and it will also be very useful to me.

Thanks again for your great work.

Alex

replied to thecollabagepatch's post 2 months ago

@thecollabagepatch Thank you for your response. This is cool :)

Yes, if you can make one for latest stable-audio, that would be very nice.

Also, I wanted to ask you if any of your plugins compatible with Audacity?

Alex.

replied to thecollabagepatch's post 2 months ago

@thecollabagepatch Great job! But magenta-realtime kinda sucks IMHO. Can you make the same thing for stable-audio or FB musicgen?

Thank you.

reacted to thecollabagepatch's post with ❤️ 2 months ago

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418

hey musicians

hf continues to make the anti-suno device possible with gary4juce, the VST for your DAW that doesn't try to replace you.

v2 just released. https://thepatch.gumroad.com/l/gary4juce (pay what you want)

now you can use google's magenta-realtime model to generate 48k samples based on your input audio (or other model outputs...there's 4 to play with now).

just duplicate my hf space, turn on an L4/L40s and throw the url into the plugin.

i've got a few finetunes you can switch to as well. or you can push your finetune to the hub and play around.

the space: thecollabagepatch/magenta-retry (you can also use the html web tester to play around with realtime generation on the L40s)

13 replies

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reacted to their post with 🤗❤️ 5 months ago

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5124

🔥Check out new SOTA Orpheus Auto-Continuations Generator🔥

asigalov61/Orpheus-Music-Transformer

Now you can generate good music with Orpheus without supervision!!!

@Timzoid @John6666 @alvanalrakib

posted an update 5 months ago

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5124

🔥Check out new SOTA Orpheus Auto-Continuations Generator🔥

asigalov61/Orpheus-Music-Transformer

Now you can generate good music with Orpheus without supervision!!!

@Timzoid @John6666 @alvanalrakib

reacted to tomaarsen's post with 🤗🚀 5 months ago

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4467

😎 I just published Sentence Transformers v5.1.0, and it's a big one. 2x-3x speedups of SparseEncoder models via ONNX and/or OpenVINO backends, easier distillation data preparation with hard negatives mining, and more:

1️⃣ Faster ONNX and OpenVINO backends for SparseEncoder models
Usage is as simple as backend="onnx" or backend="openvino" when initializing a SparseEncoder to get started, but I also included utility functions for optimization, dynamic quantization, and static quantization, plus benchmarks.

2️⃣ New n-tuple-scores output format from mine_hard_negatives
This new output format is immediately compatible with the MarginMSELoss and SparseMarginMSELoss for training SentenceTransformer, CrossEncoder, and SparseEncoder losses.

3️⃣ Gathering across devices
When doing multi-GPU training using a loss that has in-batch negatives (e.g. MultipleNegativesRankingLoss), you can now use gather_across_devices=True to load in-batch negatives from the other devices too! Essentially a free lunch, pretty big impact potential in my evals.

4️⃣ Trackio support
If you also upgrade transformers, and you install trackio with pip install trackio, then your experiments will also automatically be tracked locally with trackio. Just open up localhost and have a look at your losses/evals, no logins, no metric uploading.

5️⃣ MTEB Documentation
We've added some documentation on evaluating SentenceTransformer models properly with MTEB. It's rudimentary as the documentation on the MTEB side is already great, but it should get you started.

Plus many more smaller features & fixes (crash fixes, compatibility with datasets v4, FIPS compatibility, etc.).

See the full release notes here: https://github.com/UKPLab/sentence-transformers/releases/tag/v5.1.0

Big thanks to all of the contributors for helping with the release, many of the features from this release were proposed by others. I have a big list of future potential features that I'd love to add, but I'm

reacted to their post with 🔥🤗 7 months ago

Post

534

Hey guys!

I wanted to invite all of you who are interested in symbolic music AI to check out my Orpheus Music Transformer

IMHO the model turned out very well and it plays very well too.

I would really appreciate any feedback and likes. It helps a lot.

Here are the links for your convenience:

1) Orpheus Music Transformer main demo space asigalov61/Orpheus-Music-Transformer

2) Orpheus Music Transformer Collection asigalov61/orpheus-music-transformer-685c3c8e59ed1414c02bb8cd

3) Orpheus Music Transformer Models Repo asigalov61/Orpheus-Music-Transformer

I hope you will enjoy it :)

Sincerely,

Alex

posted an update 7 months ago

Post

534

Hey guys!

I wanted to invite all of you who are interested in symbolic music AI to check out my Orpheus Music Transformer

IMHO the model turned out very well and it plays very well too.

I would really appreciate any feedback and likes. It helps a lot.

Here are the links for your convenience:

1) Orpheus Music Transformer main demo space asigalov61/Orpheus-Music-Transformer

2) Orpheus Music Transformer Collection asigalov61/orpheus-music-transformer-685c3c8e59ed1414c02bb8cd

3) Orpheus Music Transformer Models Repo asigalov61/Orpheus-Music-Transformer

I hope you will enjoy it :)

Sincerely,

Alex

reacted to clem's post with ❤️ 10 months ago

Post

4794

We just crossed 1,500,000 public models on Hugging Face (and 500k spaces, 330k datasets, 50k papers). One new repository is created every 15 seconds. Congratulations all!

3 replies

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reacted to Jaward's post with ❤️ about 1 year ago

Post

3253

nanoBLT: Simplified lightweight implementation of a character-level Byte Latent Transformer model (under 500 lines of code). The model is 2x4x2 (n_layers_encoder, n_layers_latent, n_layers_decoder) layer deep trained on ~1M bytes of tiny Shakespeare with a patch size of 4.

Code: https://github.com/Jaykef/ai-algorithms/blob/main/byte_latent_transformer.ipynb

replied to BlinkDL's post over 1 year ago

@BlinkDL Nice! You did an amazing job with RNNs! :)

Alex

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Alex

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