in this video RPI 4 with 4GB, if you have Pi5 and 8GB of RAM, things will go definitely better. Also, you cannot run Phi LLM and LLama2 with 4GB of RAM, with 4GB you can only use TinyLLama and TinyDolphin

​@@alecrimi You can use a swap file. Better make sure you have some fast storage. But the larger the model, the slower it gets (even without swap).

@@LivingLinux Swap, external hat like Coral or the Hailo 8L, there are plenty of possibilies. Though the Hailo hat works only on the RPI 5 plus given the price makes more sense to buy a Jetson

we have literally linked a paper with a detailed explaniation you can find it in the first line of the description, but shortly a machine learning model for time series

Hi, is there a specific reason why you highlighted this time point?

there are plenty of projects in github pages, I only tried with OpenBCI not Muse though: kzbin.info/www/bejne/iH3Hq3uFmcSriq8

@@alecrimi thank u for quick feedback

it is very useful!

if you talk about the bluetooth streaming yes, if you mean for the actual reading no, you need to use Neurosky specific libraries: pypi.org/project/NeuroSkyPy/ or github.com/akloster/python-mindwave

thanks, let us know what you tihnk we/people should do with EEG, BCI and machine learning

well they could be

openBCI probably, but then it is better to use MNE python libraries rather than those rudimental python scripts

if you loaded the T1 with nibabel, and then put the nii.data into "vals3". Then you can see the mesh as (sorry this is not as easy in github): me = bpy.data.meshes.new('pc') bm = bmesh.new() bm.from_mesh(me) for x, y, z in vals3: co = scale * Vector((x, y, z)) v = bm.verts.new(co) bm.to_mesh(me) ob = bpy.data.objects.new('pc', me) scene.collection.objects.link(ob)

in fact I bought one right after this video

@@alecrimi cool 🥳 good coincidence 😆

it seems so: www.frontiersin.org/articles/10.3389/fnins.2017.00109/full

@@alecrimi Thanks !

did you manage?

let us know if you have ideas how to address them

There are several bluetooth protocols, you have to check whether you use Mac/Linux or Windows. For Windows you might need an additional bluetooth dongle. Google the latest trick to connect bluetooth via Python depending on the operative system

Are you solved this issue?

@@joseadrianjuarezvazquez4587 No, I finally used BlueMuse

how did you solve it?? help me TT

What project are you doing with Muse?

thanks

Yes I’m wondering the same thing. For example, blinking creates a specific pattern. Could we make a python script that print “hello world” every time you blink.

@@umarahmed1252 Yes you can!

I am actaully thinking something like that also considering federated (machine) learning, or you can make an android app reading the LSL streaming

@@alecrimi Do you have an email I could contact you? I have further questions, but I don't want to flood the comments section.