torchgeo/presto
Updated β’ 42
AI & ML interests
Remote Sensing, Earth Observation
Recent Activity
isaaccorleyΒ
updated 5
models about 16 hours ago
prithivMLmodsΒ
posted an update 13 days ago
Post
4628
Made a demo for Text/Image-to-3D Video and Image-to-3D Video asset generation using TRELLIS.2. It is paired with Z-Image-Turbo to accelerate the input image preprocessing pipeline, streamlining the Image-to-3D workflow. The generated GLB (GL Transmission Format) files are converted into MP4 (MPEG-4) videos, making them easy to preview and share. Try it now on Hugging Face Spaces.π€
β Image-to-3D-Video-Asset-Generator: prithivMLmods/Image-to-3D-Video-Asset-Generator
β collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
β github: https://github.com/PRITHIVSAKTHIUR/Image-to-3D-Video-Asset-Generator
β€· To learn more, visit the app page or the respective model pages.
β Image-to-3D-Video-Asset-Generator: prithivMLmods/Image-to-3D-Video-Asset-Generator
β collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
β github: https://github.com/PRITHIVSAKTHIUR/Image-to-3D-Video-Asset-Generator
β€· To learn more, visit the app page or the respective model pages.
Duplicate filenames
3
#3 opened about 1 month ago
by 
TylerHilbert
Post
150
Welcome Researcher and Developers!
SKT AI Labs, we are pushing the boundaries of AI architecture and researchβand today, we are thrilled to open our doors to the global research community!
βWe warmly welcome researchers, developers, and AI enthusiasts to join us and contribute to our R&D efforts.
βπ§ͺ What You Can Explore:
We invite you to experiment with our WMF (Weight Manifold Fusion) technology. You can test this high-dimensional fusion technique on smaller models to gain a deeper understanding of its behavior and token convergence.
β€ CHECK OUT :
SPACE : SKT-NRS/RD
EXPERIMENT : https://huggingface.co/sKT-Ai-Labs/SKT-SURYA-H
DIRECT TO MAIN DISCUSSION : SKT-NRS/RD#1
βπ€ Your Feedback Shapes the Future :
βIf it works: Fantastic! Share your results with us and contribute directly to the core vision of SKT AI Labs.
βIf it doesn't work: No problem at all! Your critical feedback is just as valuable to us. Every experiment and anomaly helps us refine this architecture to make it more stable and robust.
βWe firmly believe that true innovation stems from community collaboration and transparent testing. Let's build the future of advanced AI together. Your ideas, test results, and feedback are always welcome!
You Can Still Research and Development On WMF Only SKT-SURYA-H Model is Dismissed.
βοΈβLet's innovate and build together! π‘
SKT AI Labs, we are pushing the boundaries of AI architecture and researchβand today, we are thrilled to open our doors to the global research community!
βWe warmly welcome researchers, developers, and AI enthusiasts to join us and contribute to our R&D efforts.
βπ§ͺ What You Can Explore:
We invite you to experiment with our WMF (Weight Manifold Fusion) technology. You can test this high-dimensional fusion technique on smaller models to gain a deeper understanding of its behavior and token convergence.
β€ CHECK OUT :
SPACE : SKT-NRS/RD
EXPERIMENT : https://huggingface.co/sKT-Ai-Labs/SKT-SURYA-H
DIRECT TO MAIN DISCUSSION : SKT-NRS/RD#1
βπ€ Your Feedback Shapes the Future :
βIf it works: Fantastic! Share your results with us and contribute directly to the core vision of SKT AI Labs.
βIf it doesn't work: No problem at all! Your critical feedback is just as valuable to us. Every experiment and anomaly helps us refine this architecture to make it more stable and robust.
βWe firmly believe that true innovation stems from community collaboration and transparent testing. Let's build the future of advanced AI together. Your ideas, test results, and feedback are always welcome!
You Can Still Research and Development On WMF Only SKT-SURYA-H Model is Dismissed.
βοΈβLet's innovate and build together! π‘
ShrijanagainΒ
posted an update about 1 month ago
Post
220
Welcome Researcher and Developers!
SKT AI Labs, we are pushing the boundaries of AI architecture and researchβand today, we are thrilled to open our doors to the global research community!
βWe warmly welcome researchers, developers, and AI enthusiasts to join us and contribute to our R&D efforts.
βπ§ͺ What You Can Explore:
We invite you to experiment with our WMF (Weight Manifold Fusion) technology. You can test this high-dimensional fusion technique on smaller models to gain a deeper understanding of its behavior and token convergence.
---------- CHECK OUT:
SPACE : SKT-NRS/RD
EXPERIMENT : https://huggingface.co/sKT-Ai-Labs/SKT-SURYA-H
DIRECT TO MAIN DISCUSSION : SKT-NRS/RD#1
βπ€ Your Feedback Shapes the Future :
βIf it works: Fantastic! Share your results with us and contribute directly to the core vision of SKT AI Labs.
βIf it doesn't work: No problem at all! Your critical feedback is just as valuable to us. Every experiment and anomaly helps us refine this architecture to make it more stable and robust.
βWe firmly believe that true innovation stems from community collaboration and transparent testing. Let's build the future of advanced AI together. Your ideas, test results, and feedback are always welcome!
You Can Still Research and Development On WMF Only SKT-SURYA-H Model is Dismissed.
βLet's innovate and build together! π‘
SKT AI Labs, we are pushing the boundaries of AI architecture and researchβand today, we are thrilled to open our doors to the global research community!
βWe warmly welcome researchers, developers, and AI enthusiasts to join us and contribute to our R&D efforts.
βπ§ͺ What You Can Explore:
We invite you to experiment with our WMF (Weight Manifold Fusion) technology. You can test this high-dimensional fusion technique on smaller models to gain a deeper understanding of its behavior and token convergence.
---------- CHECK OUT:
SPACE : SKT-NRS/RD
EXPERIMENT : https://huggingface.co/sKT-Ai-Labs/SKT-SURYA-H
DIRECT TO MAIN DISCUSSION : SKT-NRS/RD#1
βπ€ Your Feedback Shapes the Future :
βIf it works: Fantastic! Share your results with us and contribute directly to the core vision of SKT AI Labs.
βIf it doesn't work: No problem at all! Your critical feedback is just as valuable to us. Every experiment and anomaly helps us refine this architecture to make it more stable and robust.
βWe firmly believe that true innovation stems from community collaboration and transparent testing. Let's build the future of advanced AI together. Your ideas, test results, and feedback are always welcome!
You Can Still Research and Development On WMF Only SKT-SURYA-H Model is Dismissed.
βLet's innovate and build together! π‘
ShrijanagainΒ
posted an update about 2 months ago
Post
227
π Big News for the AI Community! π₯
Weβre excited to release NRS_QWEN_MYTHOS_1M β a powerful reasoning model built on Qwen 3.5 9B!
At SKT AI LABS, weβve supercharged this 9B model with our proprietary Neural Reasoning System (NRS) to deliver next-level performance.
π₯ Why This Model is a Game-Changer:
β 100x Reasoning Capacity β Exceptional deep logical thinking and complex problem-solving
β 1 Million Token Context β Perfect for massive codebases, long documents, and multi-turn agentic workflows
β Advanced Thinking Mode β Native <think> tags for true step-by-step Chain-of-Thought reasoning
β Tool-Use Ready β Optimized for Python execution, Web Search, and self-correction
β 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 youβre 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.
π Try it now on Hugging Face:
SKT-NRS/NRS_QWEN_MYTHOS_1M
Drop a comment: What will you build with it first? π
#AI #OpenSource #LLM #Qwen #ReasoningModel #HuggingFace #NewModel #AICommunity
Weβre excited to release NRS_QWEN_MYTHOS_1M β a powerful reasoning model built on Qwen 3.5 9B!
At SKT AI LABS, weβve supercharged this 9B model with our proprietary Neural Reasoning System (NRS) to deliver next-level performance.
π₯ Why This Model is a Game-Changer:
β 100x Reasoning Capacity β Exceptional deep logical thinking and complex problem-solving
β 1 Million Token Context β Perfect for massive codebases, long documents, and multi-turn agentic workflows
β Advanced Thinking Mode β Native <think> tags for true step-by-step Chain-of-Thought reasoning
β Tool-Use Ready β Optimized for Python execution, Web Search, and self-correction
β 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 youβre 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.
π Try it now on Hugging Face:
SKT-NRS/NRS_QWEN_MYTHOS_1M
Drop a comment: What will you build with it first? π
#AI #OpenSource #LLM #Qwen #ReasoningModel #HuggingFace #NewModel #AICommunity
Post
7169
Hello AI Community! π
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**, weβve applied our proprietary **Neural Reasoning System (NRS)** to push the boundaries of what a 9B model can do.
π₯ **Why this model is a Game-Changer:**
β **100x High Reasoning Capacity:** Deep logical thinking and complex problem-solving via NRS Boosting.
β **1 Million Token Context:** Handle massive codebases, long documents, and multi-turn agentic tasks with ease (YaRN Scaling).
β **Advanced Thinking Mode:** Native
β **Tool-Use Ready:** Optimized for Python execution and Web Search with self-correction.
β **Blazing Fast:** Efficient 9B architecture that runs smoothly on consumer hardware (RTX 3090/4090).
π 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.
π **Try it now on Hugging Face:**
SKT-NRS/NRS_QWEN_MYTHOS_1M
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**, weβve applied our proprietary **Neural Reasoning System (NRS)** to push the boundaries of what a 9B model can do.
π₯ **Why this model is a Game-Changer:**
β **100x High Reasoning Capacity:** Deep logical thinking and complex problem-solving via NRS Boosting.
β **1 Million Token Context:** Handle massive codebases, long documents, and multi-turn agentic tasks with ease (YaRN Scaling).
β **Advanced Thinking Mode:** Native
<think> tags for step-by-step Chain-of-Thought reasoning.β **Tool-Use Ready:** Optimized for Python execution and Web Search with self-correction.
β **Blazing Fast:** Efficient 9B architecture that runs smoothly on consumer hardware (RTX 3090/4090).
π 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.
π **Try it now on Hugging Face:**
SKT-NRS/NRS_QWEN_MYTHOS_1M
Post
10456
Hello everyone,
We are excited to share that SKT-NRS is now live on Hugging Face.
Weβve 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. Youβll start seeing boosted versions of various models released here soon, each refined with our NRS approach.
**What to Expect* β€οΈβπ©Ή
Regular releases of Neural Reasoning-enhanced models
Clear focus on better reasoning and overall model quality
Ongoing improvements based on community feedback
If youβd like to stay updated, feel free to follow this space β weβll be posting the first boosted models very soon.
**Community Requests**
Have a specific model youβd like us to work on? Looking for improvements on an existing model, or have any other requests?
Weβre 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.**
We are excited to share that SKT-NRS is now live on Hugging Face.
Weβve 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. Youβll start seeing boosted versions of various models released here soon, each refined with our NRS approach.
**What to Expect* β€οΈβπ©Ή
Regular releases of Neural Reasoning-enhanced models
Clear focus on better reasoning and overall model quality
Ongoing improvements based on community feedback
If youβd like to stay updated, feel free to follow this space β weβll be posting the first boosted models very soon.
**Community Requests**
Have a specific model youβd like us to work on? Looking for improvements on an existing model, or have any other requests?
Weβre 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.**
- 10 replies
prithivMLmodsΒ
posted an update about 2 months ago
Post
7920
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.π
β wan2.2-i2v-fast : prithivMLmods/Wan2.2-Fast
β github: https://github.com/prithivsakthiur/wan2.2-i2v-fast
β collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
β€· To learn more, visit the app page or the respective model pages.
β wan2.2-i2v-fast : prithivMLmods/Wan2.2-Fast
β github: https://github.com/prithivsakthiur/wan2.2-i2v-fast
β collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
β€· To learn more, visit the app page or the respective model pages.
Post
375
Released lafzyn , built over Qwen, an Urdu language model that converts Urdu text into IPA phonetic transcription, with GGUF builds for local inference.
Release contents:
- mahwizzzz/lafzyn: full weights
- mahwizzzz/lafzyn-gguf: quantized builds
Try it out π€
Demo: https://huggingface.co/spaces/mahwizzzz/Lafzyn
Release contents:
- mahwizzzz/lafzyn: full weights
- mahwizzzz/lafzyn-gguf: quantized builds
Try it out π€
Demo: https://huggingface.co/spaces/mahwizzzz/Lafzyn
prithivMLmodsΒ
posted an update 2 months ago
Post
2274
Dropping the collection of Qwen 3.5/3.6 MTP GGUF quants. π€
π Collection 1: https://huggingface.co/collections/prithivMLmods/mtp-qwen-35-36-moe-stable
π Collection 2: https://huggingface.co/collections/prithivMLmods/mtp-qwen-35-36-stable
> To learn more, visit the respective model pages.
π Collection 1: https://huggingface.co/collections/prithivMLmods/mtp-qwen-35-36-moe-stable
π Collection 2: https://huggingface.co/collections/prithivMLmods/mtp-qwen-35-36-stable
> To learn more, visit the respective model pages.
ronantakizawaΒ
posted an update 2 months ago
Post
196
MIDI datasets are rare to find, so I made a compilation of them here!
ronantakizawa/sampleflip-midi
ronantakizawa/popsongs-segments-midi
#music #midi #dataset
ronantakizawa/sampleflip-midi
ronantakizawa/popsongs-segments-midi
#music #midi #dataset
prithivMLmodsΒ
posted an update 3 months ago
Post
6305
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!
π€ Space: prithivMLmods/PiD-Image-Upscaler
π Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
π€ > To learn more, visit the app page or the respective model pages.
π€ Space: prithivMLmods/PiD-Image-Upscaler
π Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
π€ > To learn more, visit the app page or the respective model pages.
prithivMLmodsΒ
posted an update 3 months ago
Post
5628
I've made 8 Spaces in the Qwen-Image-Edit series, and out of them, 5 Spaces reached βSpace of the Weekβ! 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! π€β€οΈ
π Spaces: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
Cumulatively, the series has crossed 8.2 million+ ZeroGPU runs and nearly 4 million visitors overall.
Thanks for all the community support! π€β€οΈ
π Spaces: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
- 4 replies
ShrijanagainΒ
posted an update 3 months ago
Post
2632
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
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 a
paper 3 months ago