Hugging Face's logo
Activity Feed Request to join this org

AI & ML interests

Building interactive demos to scikit-learn examples 🧡

Recent Activity
MElHuseyni  authored a paper about 1 month ago
RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models
MElHuseyni  submitted a paper about 1 month ago
RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models
Q-bert  authored a paper about 1 month ago
Selectivity and Shape in the Design of Forward-Forward Goodness Functions
View all activity
Shrijanagain 
posted an update 12 days ago
view post
Post
2557
We are pleased to announce that the W-IMG Vision Dataset infrastructure is officially live.

The complete asset infrastructure is now accessible on Hugging Face for internal validation and architecture scaling targets.

Dataset Endpoint - sKT-Ai-Labs/W-IMG

#SovereignAI #ComputerVision #MachineLearning #OpenSource
johko 
posted an update 12 days ago
view post
Post
119
One prompt, three answers - which model is from where?

johko/llm-blind-date

I built a little demo where you give three models (Apertus, Llama, Qwen3) the same prompt and in the end you have to guess which is which just based on their answers.

GIve it a try! ;)
Tonic 
posted an update 19 days ago
view post
Post
2786
🙋🏻‍♂️ Hey there folks ,

Turns out : if we predict 🌏 earth we can save a lot of time looking for interesting things and less time looking at things that we expect to see.

Sentinel-2 imagery 🛰️basically takes a long time to download towards earth. so our "near real time" systems are quite far from that in practical terms.

meanwhile , if we "predict" what we will see , based on what we do see , we can send down much less data in a timely way , and prioritize 📡earth-bound response .

I'm talking about illegal fishing , logging , mining or building in nature reserves , the more of that we predict early the more we're able to stop it on time.

At least that's the concept !

check out the blog : https://huggingface.co/blog/Tonic/save-patagonia-by-predicting-earth


- Collection: https://huggingface.co/collections/NuTonic/earth-observation-with-temporal-and-general-understanding
- Code: https://github.com/Josephrp/Nutonic
- Dataset: NuTonic/sat-vl-sft-training-ready-v1
- Model: NuTonic/lspace
- Training: NuTonic/lspace-trackio
- Evals: NuTonic/Patagonia_Eval
  • 2 replies
·
Aurelien-Morgan 
posted an update 28 days ago
view post
Post
1083
@retrain-pipelines v0.2.0 is out !
I'm at Station F at My booth with GOSIM Paris 2026 today & tomorrow.
Come meet me for a live in-person demo and a chat !
  • 1 reply
·
Tonic 
posted an update about 1 month ago
view post
Post
4285
🙋🏻‍♂️ Hey there folks,

since everyone liked my previous announcement post ( https://huggingface.co/posts/Tonic/338509028435394 ) so much , i'm back with more high quality proceedural datasets in the Geospacial domain for SFT training !

Check this one out :
NuTonic/sat-bbox-metadata-sft-v1

the goal is to be able to train vision models on multiple images for remote sensing analysis with one shot .

hope you like it ! 🚀
  • 2 replies
·
Tonic 
posted an update about 1 month ago
view post
Post
3634
🙋🏻‍♂️ Hey there folks ,

I'm sharing huggingface's largest dataset of annotated statelite images today.

check it out here : NuTonic/sat-image-boundingbox-sft-full

I hope you like it , the idea is to be able to use this with small vision models 🚀
MElHuseyni 
authored a paper about 1 month ago
MElHuseyni 
submitted a paper to Daily Papers about 1 month ago
suayptalha 
authored a paper about 1 month ago
Q-bert 
authored a paper about 1 month ago
awinml 
authored a paper about 2 months ago
Aurelien-Morgan 
posted an update about 2 months ago
parkneurals 
authored a paper about 2 months ago
Shrijanagain 
posted an update about 2 months ago
view post
Post
4292
sKT-Ai-Labs

Join fast we will soon published tokens and all join and get started because we will soon off join request button if you want you can join fast guys
  • 1 reply
·
Shrijanagain 
posted an update 2 months ago
view post
Post
2663
​🚀 Bharat AI Revolution ka Hissa Banein! 🇮🇳

​Kya aap Bharat ko AI ki duniya mein ek nayi pehchan dilana chahte hain ?

SKT AI Labs sirf ek naam nahi, ek mission hai—desh ko digital shakti dene ka aur "Viksit Bharat" ke sapne ko sach karne ka.

​Humse Kyun Judein?

​1. Desh ka Apna AI: Hum aise models bana rahe hain jo khas taur par Bharat ki zarooraton aur bhashaon ke liye hain.

​2. Open Collaboration: Hamare Hugging Face repository par hamare kaam ko dekhein, test karein aur apna yogdan dein.

3. Technological Growth: Agar aap student hain, developer hain ya tech enthusiast hain, toh hamare saath naya seekhne aur grow karne ka yeh behtareen mauka hai.

​Join here

sKT-Ai-Labs
🔗
sKT-Ai-Labs

​Aaiye, saath milkar Bharat AI Revolution ko aage badhate hain! 💻🔥

​#SKTAILabs #DigitalIndia #AIRevolution #ViksitBharat #TechInnovation #JoinTheMission
1aurent 
authored a paper 2 months ago
Q-bert 
submitted a paper to Daily Papers 2 months ago
Shrijanagain 
posted an update 2 months ago
Q-bert 
authored a paper 2 months ago
suayptalha 
authored a paper 2 months ago