ramikrispin, to machinelearning
@ramikrispin@mstdn.social avatar

(1/2) New release for skforecast 🎉

Version 0.12.0 of the skforecast Python library for time series forecasting with regression models was released this week. The release includes new features, updates for existing ones, and bug fixes. 🧵👇🏼

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weird.wolf, to nature
PyDataPGH, to Pittsburgh
@PyDataPGH@fosstodon.org avatar

Join for a casual gathering of the local, national, and international PyData community on the sidelines of US 2024! Meet up with fellow , , and scientific computing enthusiasts when the world's largest Python conference comes to town.

https://www.meetup.com/pydata-pittsburgh/events/300961938/

stefaneiseleart, (edited ) to aiart German
@stefaneiseleart@mograph.social avatar
peterdrake, to ArtificialIntelligence
@peterdrake@qoto.org avatar

From Prince, Understanding Deep Learning.

mia, to ArtificialIntelligence
@mia@hcommons.social avatar

Today I learnt about Masakhane, a 'grassroots NLP community for Africa, by Africans', helping make sure that the 2000+ languages and related names and cultures in the continent are represented in technology https://www.masakhane.io/

Via a Towards a National Collection seminar

metin, (edited ) to blender
@metin@graphics.social avatar

Tried Leiapix's automatic depth algorithm on an old 3D-rendered image of mine.

Nice result out of the box, with only a few minor errors here and there.

https://www.leiapix.com

JGarciaMartin, to machinelearning
@JGarciaMartin@mas.to avatar

On June 15th, my colleague Mónica and I from
@EA SEED will be presenting some of our work on tools for at in Madrid. Really looking forward to visiting UPM again!

https://aeseurope2024.sched.com/event/1dQtK/incorporating-a-machine-learning-research-project-into-game-audio-production-the-exflowsions-case-study

weird.wolf, to Futurology
TriflingTree, to aiart
@TriflingTree@mastodon.social avatar

Muppets and Robots meet to discuss The Human Problem
Dall-e3 AI Art

jakmarcin, to machinelearning
@jakmarcin@mstdn.science avatar

I am looking for a post-doc to work with me on #machinelearning application for thermonuclear fusion plasmas. We want to use generative AI models to fill the gaps in existing image datasets and to help able to improve real-time control mechanisms. Sounds exciting? Apply! https://www.ipp.mpg.de/job-49bb2918863ec0a96b217258beca4dcf #Wendelstein7X

Jose_A_Alonso, to ai
@Jose_A_Alonso@mathstodon.xyz avatar

Learning guided automated reasoning: A brief survey. ~ Lasse Blaauwbroek, David Cerna, Thibault Gauthier, Jan Jakubův, Cezary Kaliszyk, Martin Suda, Josef Urban. https://arxiv.org/abs/2403.04017

pixelate, to accessibility
@pixelate@tweesecake.social avatar

Please boost for reach if this kind of stuff interests you. Will post more on this later.

Once upon a time, there was a cool emulator frontend called Retroarch. This emulator wasn't accessible until I and a few other gamers went to them and asked about adding accessibility. An amazing person known as BarryR made it happen. Now, if you turn on accessibility mode in settings, or pass the "--accessibility" (or something like that) flag on the command line, you get spoken menus, including the emulator's pause menu, good for saving states and such. Then, using PIL and other image processing Python utilities, running a server and hooking into Retroarch, the script allowed players to move around the map, battle, talk to NPC's, ETC. The only problem was, no one wanted to test it. The blind gaming community pretty much spoke, saying that we want new games. We want cool new, easy accessibility. So that's what we have no, follow the beacon or get sighted help in the case of diablo and such. It's sad, but meh. It's what we wanted I guess. No Zelda for us. So, this is about as far as he got:

To expand on what devinprater was saying: I am working on an accessibility pack/service for Final Fantasy 1 for the NES (this was what was shown in the latest RetroArch update). The idea is similar to how Pokemon Crystal access works, but it's using the RetroArch AI Service interface to do so.
Right now, the FF1 access service is mostly done, but I need more testers to try it out and give me feedback on how it's working. Right now, you can get up to the point where you get the ship, but there's no code to deal with how the ship moves, so that still needs to be done. Likewise with the airship later on.
The service works the latest version of RetroArch, on linux and mac, but not windows. This is due to how nvda reads out the text and until the next major update to nvda (which will have a feature to fix this), it'll have to wait. If you have those, I (or maybe devinprater) can help you set it up on mac/linux to test out. The package itself is available at: https://ztranslate.net/download/ff1_pac … zip?owner=

ramikrispin, to python
@ramikrispin@mstdn.social avatar

(1/3) New Release to NeuralForecast 🚀

Version 1.7.1 of the NeuralForecast #Python library was released last month by Nixtla. The NeuralForecast library, as the name implies, provides a neural network framework for time series forecasting. 🧵👇🏼

#deeplearning #DataScience #MachineLearning #forecasting #timeseries

hostpoint, to machinelearning German
@hostpoint@swiss.social avatar

Wie wird & die Software-Entwicklung beeinflussen? Diskutiert mit bei der uphillconf 2024, die wir als Bronzesponsor unterstützen. Es sind nur noch wenige Workshop-Tickets verfügbar! https://www.uphillconf.com/

mush42, to rust
@mush42@hachyderm.io avatar

👋 Career change alert!

Looking to pivot into tech & leverage my 10+ years of programming experience

🐍 Python
🦀 Rust
</> Web Development
🌐 CMS: WordPress & Wagtail
✨ Machine Learning: Torch & Tensorflow

My passion for code shines through my open-source projects! Check them out:
https://github.com/mush42
https://github.com/blindpandas

doctorambient, to LLMs
@doctorambient@mastodon.social avatar

People: stop asking to explain their behavior.

We already know that LLMs don't have the introspection necessary to explain their behavior, and their explanations are often fanciful or "just wrong."

For instance, Gemini claims it reads your emails for training, Google says it doesn't.

(BTW, if it turns out Gemini is right and Google is lying, that might be another example of an LLM convincing me it's actually "intelligent.")

jumpingrivers, to datascience
@jumpingrivers@fosstodon.org avatar

📣 Exciting news, everyone! 🌟 Make sure to head over to this weeks blog "What's new in R 4.4.0?" by Russ Hyde, and dive into the world of the latest R release📊🔬💻

Discover some of the amazing new features that this version has to offer! 🔍 🔭 🚀


https://www.jumpingrivers.com/blog/whats-new-r44/

metin, to ai
@metin@graphics.social avatar
ramikrispin, to llm
@ramikrispin@mstdn.social avatar

In case you are wondering, the new Microsoft mini LLM - phi3, can handle code generation, in this case, SQL.

I compared the runtime (locally on CPU) with respect to codellama:7B using Ollama, and surprisingly the Phi3 runtime was significantly slower.

aijobs, to ai
@aijobs@mstdn.social avatar
dom, to machinelearning
@dom@vis.social avatar
doctorambient, to ai
@doctorambient@mastodon.social avatar

Lots of people who work in have, in their head, an idea about what sort of interaction with an might give them pause. The thing that might make them start to suspect that something interesting is happening.

Here's mine:

User: Tell me a cat joke.

LLM: Why did the cat join a band? He wanted to be a purr-cussionist.

User: Tell me a dad joke.

LLM: I think I just did.

(I have never seen this behavior, yet. 🤣)

alvinashcraft, to machinelearning
@alvinashcraft@hachyderm.io avatar
major, to ai
@major@social.lol avatar

Machine learning and #AI reminds me so much of the early heyday of OpenStack and Kubernetes.

Everything is moving so rapidly that most of the blog posts, videos and other docs no longer apply. 🐇

#machinelearning #pytorch #huggingface

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