Hugging Face's logo

open/ acc
community
Activity Feed Request to join this org

AI & ML interests

None defined yet.

Recent Activity
suayptalha  authored a paper about 11 hours ago
Sample Complexity of Scientific Discovery: PAC Learnability of Compositional Function Trees
Ritvik19  authored a paper about 1 month ago
Aryabhata 2: Scaling Reinforcement Learning for Advanced STEM Reasoning
sudoping01  authored a paper about 2 months ago
InstructLR: A Scalable Approach to Create Instruction Dataset for Under-Resourced Languages
View all activity
bofenghuang 
authored 2 papers 7 days ago
prithivMLmods 
posted an update 21 days ago
view post
Post
5144
Wan2.2-I2V-Fast with highly upscaled sequential frame sampling is now available as a Spaces demo, built using Wan2.2-I2V and FLUX.2-Klein. Try the demo using the links below.👇

➠ wan2.2-i2v-fast : prithivMLmods/wan2.2-i2v-fast
➠ github: https://github.com/prithivsakthiur/wan2.2-i2v-fast
➠ collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

⤷ To learn more, visit the app page or the respective model pages.
cfahlgren1 
submitted a paper to Daily Papers 21 days ago
prithivMLmods 
posted an update about 1 month ago
ronantakizawa 
posted an update about 1 month ago
Ritvik19 
authored a paper about 1 month ago
prithivMLmods 
posted an update about 1 month ago
view post
Post
6218
PiD — Pixel Diffusion Decoder Image Edit Upscale and Image Generation Upscale, an all-in-one demo, is now live on Spaces! Great improvements in realism-based image generation and editing are powered by FLUX.2-Klein, while image generation is paired with Z-Image, and upscaling is enabled by default!

🤗 Space: prithivMLmods/PiD-Image-Upscaler
🔗 Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

🤗 > To learn more, visit the app page or the respective model pages.
gigant 
authored a paper about 1 month ago
prithivMLmods 
posted an update about 2 months ago
view post
Post
5601
I've made 8 Spaces in the Qwen-Image-Edit series, and out of them, 5 Spaces reached “Space of the Week”! A few Spaces are still topping the list even after many months.

Cumulatively, the series has crossed 8.2 million+ ZeroGPU runs and nearly 4 million visitors overall.

Thanks for all the community support! 🤗❤️

🔗 Spaces: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
  • 4 replies
·
gigant 
submitted a paper to Daily Papers about 2 months ago
rajkumarrawal 
submitted a paper to Daily Papers about 2 months ago
erikkaum 
posted an update about 2 months ago
view post
Post
3179
Releasing my first kernel 🔥 MaxSim

Late-interaction retrieval (ColBERT / PyLate) bottlenecks on materializing the full similarity matrix. This kernel avoids it by using tiled scoring with simdgroup_matrix (Metal) and WMMA.

The result is 3–5× speedup compared to naive PyTorch baseline 🔥

Benchmarks:
- SmallRerank (B=32, C=10): up to 3.2× (M3 Pro) / 2.8× (A100)
- HeavyRerank (B=32, C=100): up to 3.8× (M3 Pro) / 5.3× (A100)
- LongDocStress (Ld=1024): up to 6.2× (L4)

Try it out 👇
https://huggingface.co/kernels/erikkaum/maxsim
Tonic 
posted an update about 2 months ago
view post
Post
3006
🙋🏻‍♂️ 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
·
gigant 
authored a paper about 2 months ago
rajkumarrawal 
posted an update about 2 months ago
view post
Post
2140
LLMs aren’t just answering questions anymore, they’re learning to evolve. Self evolving AI is the true endgame.

AI has shifted from short tasks to long missions. The breakthrough isn’t just automation, it’s machines learning human methods and applying them at machine speed. From cybersecurity to finance, from OPCs to NPCs, the wave is irreversible.

Read the full article: Self Evolving is the Endgame or final destiny

https://huggingface.co/blog/rajkumarrawal/self-evolving-is-the-endgame-or-final-destiny

What’s your definition of true AGI? Comment below.
  • 1 reply
·
Ritvik19 
authored a paper about 2 months ago
Aurelien-Morgan 
posted an update 2 months ago
view post
Post
1099
@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
·
rajkumarrawal 
posted an update 2 months ago
view post
Post
229
I submitted a "Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization" Paper by Zi-Bo Qin, Feng-Feng Wei, Tai-You Chen, Wei-Neng Chen to Daily Papers on huggingface.

A trajectory-driven framework uses large language models to guide agent behavior and cooperation patterns in distributed black-box consensus optimization, improving solution quality and efficiency.

Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization (2605.00691)
rajkumarrawal 
submitted a paper to Daily Papers 2 months ago