DedeProGames (DedeProGames)

reactedto shriarul5273's post with 🚀 6 days ago

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2295

🔁 One API. 12 model families. 28 variants. Why depth_estimation makes depth research easier

Switching between depth models usually means rewriting preprocessing, adapting outputs, and dealing with different codebases.

depth_estimation removes that friction.

With the same interface, you can work with:
🌊 Depth Anything
🍎 DepthPro
🧭 MiDaS
📏 ZoeDepth
🧩 MoGe
🛰️ VGGT / OmniVGGT
and more

Change one model string, keep the rest of your workflow the same.

That makes it much easier to:
⚖️ compare models fairly
🧪 prototype quickly
📈 benchmark consistently
🛠️ build reusable depth pipelines

GitHub: https://github.com/shriarul5273/depth_estimation

#depthestimation #research #computervision #python #machinelearning #opensource #pytorch

reactedto their post with 🤯🤗🔥 7 days ago

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2916

🔥 GRM2 - The small one that surpasses the big ones.
What if a 3-parameter model can beat a 32-parameter model in every benchmark? We prove that it can.
GRM2 is a 3b params model based on the llama architecture, trained for long reasoning and high performance in complex tasks - the first 3b params model to outperform qwen3-32b in ALL benchmarks, and outperform o3-mini in almost all benchmarks.
🤗 Model: OrionLLM/GRM2-3b
The first 3b params model to generate over 1000 lines of code and achieve a score of 39.0 in xBench-DeepSearch-2510.

🚀 Chat with GRM:
DedeProGames/GRM2-Chat

🏆 Download official GGUFs: OrionLLM/GRM2-3b-GGUF

posted an update 7 days ago

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2916

🔥 GRM2 - The small one that surpasses the big ones.
What if a 3-parameter model can beat a 32-parameter model in every benchmark? We prove that it can.
GRM2 is a 3b params model based on the llama architecture, trained for long reasoning and high performance in complex tasks - the first 3b params model to outperform qwen3-32b in ALL benchmarks, and outperform o3-mini in almost all benchmarks.
🤗 Model: OrionLLM/GRM2-3b
The first 3b params model to generate over 1000 lines of code and achieve a score of 39.0 in xBench-DeepSearch-2510.

🚀 Chat with GRM:
DedeProGames/GRM2-Chat

🏆 Download official GGUFs: OrionLLM/GRM2-3b-GGUF

reactedto their post with 🔥🚀👍 9 days ago

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1757

Introducing GRM2, a powerful 3 billion parameter model designed for long-term reasoning and high performance in complex tasks.

Even with only 3 billion parameters, it outperforms qwen3-32b in several benchmarks and complex reasoning tasks.

With just 3 billion parameters, it can also generate extensive and complex code with over 1000 lines, utilize tools comparable to larger models, and is perfect for agentic tasks.

GRM2 is licensed under Apache 2.0, making it ideal as a base for FineTune in other tasks.

GRM2 Model Page: OrionLLM/GRM2-3b
Official GRM2 GGUFs Quantizations: OrionLLM/GRM2-3b-GGUF

posted an update 10 days ago

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1757

Introducing GRM2, a powerful 3 billion parameter model designed for long-term reasoning and high performance in complex tasks.

Even with only 3 billion parameters, it outperforms qwen3-32b in several benchmarks and complex reasoning tasks.

With just 3 billion parameters, it can also generate extensive and complex code with over 1000 lines, utilize tools comparable to larger models, and is perfect for agentic tasks.

GRM2 is licensed under Apache 2.0, making it ideal as a base for FineTune in other tasks.

GRM2 Model Page: OrionLLM/GRM2-3b
Official GRM2 GGUFs Quantizations: OrionLLM/GRM2-3b-GGUF

reactedto BibbyResearch's post with 🔥 13 days ago

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2924

🍌 Paper Banana is now live! Create academic illustrations using natural language

We just launched Paper Banana — a tool that lets you generate clean academic illustrations simply by describing them in natural language.

🔗 Try it here: https://trybibby.com/paper-banana

Whether you need diagrams for papers, presentations, or teaching materials, Paper Banana helps you turn ideas into visuals in seconds.

We’d love your feedback:

What did you like?
What features should we add next?

Give it a spin and let us know what you think! 🚀

Dear Huggingface, show this post to all my fellow researchers!

reactedto karstenskyt's post with 🔥 13 days ago

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2274

🚀 𝗟𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗜/𝗠𝗟 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱

Now that our Taipy architecture is humming along on Hugging Face Spaces, we just shipped the most complex feature of the (𝘙𝘪𝘨𝘩𝘵! 𝘓𝘶𝘹𝘶𝘳𝘺!) 𝘓𝘢𝘬𝘦𝘩𝘰𝘶𝘴𝘦 to date: the 𝗔𝗜/𝗠𝗟 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱.

Managing 16 different machine learning pipelines (from Expected Goals to Space Creation) across Databricks Serverless and HF Jobs is a logistical challenge. To solve this, we built a dynamic operations center (the 13th page in our app).

It features:

  • 𝗔𝗻 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝘆 𝗗𝗔𝗚: Powered by Cytoscape.js, it visually maps exactly how our models and data grids feed into each other.

  • 𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴: Tracks run volumes and data freshness SLAs across the entire platform.

  • 𝗔 𝟯-𝘁𝗶𝗲𝗿 𝗵𝘆𝗯𝗿𝗶𝗱 𝗰𝗼𝘀𝘁 𝗲𝗻𝗴𝗶𝗻𝗲: Merges "cold" Databricks billing data with "warm/hot" live HF Jobs estimates to give a unified view of pipeline expenses.

Check out the live interactive graph here:
luxury-lakehouse/soccer-analytics-app

reactedto branikita's post with 🔥 14 days ago

Post

5615

Progress update on our Robonine mobile robotic platform. We've wired up the full electronics stack - Raspberry Pi, motor controllers, and a camera module - and added Bluetooth joystick and keyboard control with WiFi-based management. A 7 kg counterweight keeps the platform stable. Powered by a powerbank and ready to roll.

1 reply

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reactedto Jiaqi-hkust's post with 👀🚀🔥 14 days ago

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5814

🛰️ Introducing Awesome-Remote-Sensing-Agents: The Largest Curated Collection of Intelligent Remote Sensing Agents

We are excited to share our new repository Awesome-Remote-Sensing-Agents – a comprehensive, community-driven collection of 100+ papers at the intersection of remote sensing and intelligent agents (LLMs, VLM, multi‑agent systems, etc.).

🔗 GitHub Repository: https://github.com/PolyX-Research/Awesome-Remote-Sensing-Agents

Our repository organizes this rapidly growing field into a structured, easy‑to‑navigate resource for researchers, practitioners, and enthusiasts.

📚 What’s Inside?
We’ve carefully curated papers across 6 key application domains:
🌿 Ecological Monitoring – forest fires, biodiversity, climate science
🚨 Emergency Response – flood mapping, wildfire tracking, disaster geolocalization
⛏️ Geological Exploration – mineral mapping, lithological recognition, geologic reasoning
🌊 Marine Supervision – ocean science, autonomous surface vehicles
🌾 Precision Agriculture – crop disease detection, land use simulation
🏙️ Urban Governance – change detection, urban planning, embodied navigation

🤝 Join the Community!
We warmly welcome contributions to keep this list up‑to‑date:
📝 Add missing papers via Pull Request
🏷️ Propose new or refined categories
🔗 Report broken links or outdated entries
💬 Discuss via GitHub Issues or contact the authors

reactedto their post with 👀 15 days ago

Post

5266

Introducing GRM2, a powerful 3 billion parameter model designed for long-term reasoning and high performance in complex tasks.

Even with only 3 billion parameters, it outperforms qwen3-32b in several benchmarks and complex reasoning tasks.

With just 3 billion parameters, it can also generate extensive and complex code with over 1000 lines, utilize tools comparable to larger models, and is perfect for agentic tasks.

GRM2 is licensed under Apache 2.0, making it ideal as a base for FineTune in other tasks.
You can see more here: OrionLLM/GRM2-3b

posted an update 16 days ago

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185

Introducing GRM-Coder, a 14b params code model based on Qwen3-14b .

On LiveCodeBench v6 (01/08/2024 - 01/05/2025), we achieved a Pass@1 accuracy of 67.87%, up 7.08% from the baseline Pass@1 accuracy of 60.79% of Qwen3-14B.
OrionLLM/GRM-Coder-14b

reactedto their post with 🤗🚀🔥 17 days ago

Post

5266

Introducing GRM2, a powerful 3 billion parameter model designed for long-term reasoning and high performance in complex tasks.

Even with only 3 billion parameters, it outperforms qwen3-32b in several benchmarks and complex reasoning tasks.

With just 3 billion parameters, it can also generate extensive and complex code with over 1000 lines, utilize tools comparable to larger models, and is perfect for agentic tasks.

GRM2 is licensed under Apache 2.0, making it ideal as a base for FineTune in other tasks.
You can see more here: OrionLLM/GRM2-3b

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