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Remote Sensing, Earth Observation

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blaz-rΒ  authored a paper about 1 month ago
ChangeFlow -- Latent Rectified Flow for Change Detection in Remote Sensing
blaz-rΒ  authored a paper about 1 month ago
Make Some Noise: Unsupervised Remote Sensing Change Detection Using Latent Space Perturbations
isaaccorleyΒ  submitted a paper about 1 month ago
No One Knows the State of the Art in Geospatial Foundation Models
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ShrijanagainΒ 
posted an update about 2 hours ago
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πŸš€ Big News for the AI Community! πŸ”₯

We’re excited to release NRS_QWEN_MYTHOS_1M β€” a powerful reasoning model built on Qwen 3.5 9B!
At SKT AI LABS, we’ve supercharged this 9B model with our proprietary Neural Reasoning System (NRS) to deliver next-level performance.

πŸ”₯ Why This Model is a Game-Changer:
βœ… 100x Reasoning Capacity β€” Exceptional deep logical thinking and complex problem-solving
βœ… 1 Million Token Context β€” Perfect for massive codebases, long documents, and multi-turn agentic workflows
βœ… Advanced Thinking Mode β€” Native <think> tags for true step-by-step Chain-of-Thought reasoning
βœ… Tool-Use Ready β€” Optimized for Python execution, Web Search, and self-correction
βœ… Blazing Fast β€” Runs smoothly on consumer GPUs like RTX 3090/4090

Technical Highlights:

Base: Qwen 3.5 9B
Tuning: NRS-specific high-quality reasoning data
Context: 1M Tokens (YaRN Scaling)
License: NRS DOCS

Whether you’re a developer building coding agents, a researcher working with long-context data, or someone who loves powerful reasoning β€” this model is built for you.

πŸ‘‰ Try it now on Hugging Face:
SKT-NRS/NRS_QWEN_MYTHOS_1M

Drop a comment: What will you build with it first? πŸ‘‡
#AI #OpenSource #LLM #Qwen #ReasoningModel #HuggingFace #NewModel #AICommunity
ST-x-TonyΒ 
posted an update 1 day ago
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2089
Hello AI Community! πŸ‘‹

We are thrilled to announce the release of **NRS_QWEN_MYTHOS_1M**, a high-performance reasoning model built on the powerful **Qwen 3.5 9B** base. At **SKT AI LABS**, we’ve applied our proprietary **Neural Reasoning System (NRS)** to push the boundaries of what a 9B model can do.

πŸ”₯ **Why this model is a Game-Changer:**

βœ… **100x High Reasoning Capacity:** Deep logical thinking and complex problem-solving via NRS Boosting.
βœ… **1 Million Token Context:** Handle massive codebases, long documents, and multi-turn agentic tasks with ease (YaRN Scaling).
βœ… **Advanced Thinking Mode:** Native tags for step-by-step Chain-of-Thought reasoning.
βœ… **Tool-Use Ready:** Optimized for Python execution and Web Search with self-correction.
βœ… **Blazing Fast:** Efficient 9B architecture that runs smoothly on consumer hardware (RTX 3090/4090).

πŸ› οΈ **Technical Highlights:**
* **Base:** Qwen 3.5 9B
* **Tuning:** NRS Specific Tuning high-quality samples.
* **License:** NRS DOCS
Whether you are a developer building coding agents, a researcher dealing with long-context data, or just someone who loves deep reasoning, this model is built for you.

πŸ‘‡ **Try it now on Hugging Face:**
SKT-NRS/NRS_QWEN_MYTHOS_1M
ST-x-TonyΒ 
posted an update 4 days ago
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10328
Hello everyone,

We are excited to share that SKT-NRS is now live on Hugging Face.
We’ve developed a Neural Reasoning System (NRS) designed to enhance the capabilities of foundation models β€” giving them stronger reasoning, improved performance, and more reliable outputs across a wide range of tasks.

Our goal is to bring meaningful quality improvements to both new and existing models. You’ll start seeing boosted versions of various models released here soon, each refined with our NRS approach.

**What to Expect* β€οΈβ€πŸ©Ή

Regular releases of Neural Reasoning-enhanced models
Clear focus on better reasoning and overall model quality
Ongoing improvements based on community feedback

If you’d like to stay updated, feel free to follow this space β€” we’ll be posting the first boosted models very soon.

**Community Requests**

Have a specific model you’d like us to work on? Looking for improvements on an existing model, or have any other requests?
We’re happy to hear from you. Please share your suggestions here:

## Community Requests β†’ SKT-NRS/README#1

**Thank you for your support! We look forward to building better models together.**
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prithivMLmodsΒ 
posted an update 12 days ago
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4146
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.πŸ‘‡

➠ 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

β€· To learn more, visit the app page or the respective model pages.
prithivMLmodsΒ 
posted an update 27 days ago
ronantakizawaΒ 
posted an update 27 days ago
prithivMLmodsΒ 
posted an update 30 days ago
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6190
PiD β€” 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!

πŸ€— Space: prithivMLmods/PiD-Image-Upscaler
πŸ”— Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

πŸ€— > To learn more, visit the app page or the respective model pages.
prithivMLmodsΒ 
posted an update about 1 month ago
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I've made 8 Spaces in the Qwen-Image-Edit series, and out of them, 5 Spaces reached β€œSpace 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! πŸ€—β€οΈ

πŸ”— Spaces: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
  • 4 replies
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ShrijanagainΒ 
posted an update about 1 month ago
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2611
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
blaz-rΒ 
authored 2 papers about 1 month ago
isaaccorleyΒ 
submitted a paper to Daily Papers about 1 month ago
blaz-rΒ 
submitted a paper to Daily Papers about 1 month ago
prithivMLmodsΒ 
posted an update about 2 months ago
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5946
Multimodal-Edge Demo, a node-based inference canvas demo, is now live on Spaces. It features node-based Transformers for fast inference across 10+ edge-device multimodal models on the Hub, all within a single space. The series includes models from Qwen3.5, Qwen3-VL, Gemma 4, and the LFM 2.5 VL model series, with support for reasoning and grounding tasks.

πŸ€— Demo: prithivMLmods/Multimodal-Edge-Node
πŸ”— GitHub: https://github.com/PRITHIVSAKTHIUR/Multimodal-Edge-Node
βœ… Multimodal Apps Collections: https://huggingface.co/collections/prithivMLmods/hall-of-multimodal-apps

πŸ€— > To learn more, visit the app page or the respective model pages.
prithivMLmodsΒ 
posted an update 2 months ago
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Now, a collection of various compression schemes for Qwen3.6 and the abliterated version 1 of dense models is available on the Hub. Check it out via the links below. πŸ‘‡

πŸ”— Qwen3.6-MoE: https://huggingface.co/collections/prithivMLmods/qwen36-35b-a3b-compressions
πŸ”— Qwen3.6-27B Compressions: https://huggingface.co/collections/prithivMLmods/qwen36-27b-compressions

πŸ€— > To learn more, visit the app page or the respective model pages.
MElHuseyniΒ 
authored a paper 2 months ago
MElHuseyniΒ 
submitted a paper to Daily Papers 2 months ago
prithivMLmodsΒ 
posted an update 2 months ago
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HY-World-2.0 β€” A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds is now available on Spaces, and it works both as native Gradio components and in Gradio server mode.

> HY-World-2.0-Demo: prithivMLmods/HY-World-2.0-Demo
> HY-World-2.0 [Server Mode]: prithivMLmods/HY-World-2.0-Demo
> Featuring 3D reconstruction and Gaussian splats with the Rerun viewer, along with camera poses, depth maps, and surface normals.
> In Server Mode, Gradio is served via FastAPI, with FastAPI remaining the top-level server.
> Model: tencent/HY-World-2.0
> GitHub: https://github.com/PRITHIVSAKTHIUR/HY-World-2.0-Demo

πŸ€—To learn more, visit the app page or the respective model pages.
prithivMLmodsΒ 
posted an update 3 months ago
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A new comparator on Spaces showcases Standard FLUX.2 Decoder vs. FLUX.2 Small Decoder. The Small Decoder is ~1.4Γ— faster, uses ~1.4Γ— less VRAM, and maintains near-identical image quality. It has ~28M parameters with narrower channels [96, 192, 384, 384] vs. [128, 256, 512, 512], and the demo supports sequence generation by running both decoders simultaneously and comparing the results side by side.

πŸ€— Comparator: https://huggingface.co/spaces/prithivMLmods/Flux.2-4B-Decoder-Comparator
πŸ”— FLUX.2-small-decoder: black-forest-labs/FLUX.2-small-decoder
πŸ”— GitHub: https://github.com/PRITHIVSAKTHIUR/Flux.2-4B-Encoder-Comparator
🚁 Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

πŸ€— > App built on the Gradio SDK. To learn more, visit the app page or the respective model pages.
prithivMLmodsΒ 
posted an update 3 months ago
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Now, a collection of various compression schemes for Gemma 4 and the abliterated version 1 of dense models is available on the Hub. Check it out via the links below. πŸ‘‡

πŸ”—Gemma 4 Compression(s)- https://huggingface.co/collections/prithivMLmods/gemma-4-compressions
πŸ”—Gemma 4 Uncensored [MAX] + Compression(s) - [`Ξ² ]- https://huggingface.co/collections/prithivMLmods/gemma-4-uncensored-max-compressions
πŸ”—Gemma 4 Compression(s) - MoE- https://huggingface.co/collections/prithivMLmods/gemma-4-compressions-moe
πŸ”—Gemma-4 F32 GGUF- https://huggingface.co/collections/prithivMLmods/gemma-4-f32-gguf

πŸ€— > To learn more, visit the app page or the respective model pages.