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Niels Rogge

@NielsRogge • 22,533 subscribers

ML Engineer @huggingface. Building https://t.co/z4nyO4pjVE. @KU_Leuven grad. General interest in machine & deep learning. Making AI more accessible for everyone!

Shorts

Meta dropped not just SAM-3 yesterday but also SAM-3D (for objects and humans)🤯 SAM 3D Body is a promptable model for recovering full-body 3D human meshes from a single image. Seems to be the new SOTA

Meta dropped not just SAM-3 yesterday but also SAM-3D (for objects and humans)🤯 SAM 3D Body is a promptable model for recovering full-body 3D human meshes from a single image. Seems to be the new SOTA

125,235 次观看

GutenOCR: A Grounded Vision-Language Front-End for Documents Fine-tunes Qwen2.5-VL-3B and 7B using a grounded OCR evaluation protocol, substantially improving region- and line-level OCR as well as text-detection recall

GutenOCR: A Grounded Vision-Language Front-End for Documents Fine-tunes Qwen2.5-VL-3B and 7B using a grounded OCR evaluation protocol, substantially improving region- and line-level OCR as well as text-detection recall

45,811 次观看

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So cool!! I'm running NVIDIA's NemoClaw with Qwen3.5-27B entirely locally via Telegram. No API costs, no data being sent to anyone NemoClaw is a security sandbox built on top of OpenClaw🦞 that lets you restrict the files and networks your lobster can access. I'm running the 4-bit GGUF via llama cpp on a DGX Spark. It's running pretty smoothly at 9 tokens per second! The future might be local :)

So cool!! I'm running NVIDIA's NemoClaw with Qwen3.5-27B entirely locally via Telegram. No API costs, no data being sent to anyone NemoClaw is a security sandbox built on top of OpenClaw🦞 that lets you restrict the files and networks your lobster can access. I'm running the 4-bit GGUF via llama cpp on a DGX Spark. It's running pretty smoothly at 9 tokens per second! The future might be local :)

209,408 次观看 • 5 个月前

I got you covered Explore all CVPR papers here: Oral papers, Spotlight papers, and all papers categorized by domain

I got you covered Explore all CVPR papers here: Oral papers, Spotlight papers, and all papers categorized by domain

97,209 次观看 • 3 个月前

Introducing a revival of PapersWithCode! As Ilya Sutskever said, we're back to the "age of research". Hence, it's important to share research and build on each other's work. > find SOTA per domain, not just LLMs > leaderboards > methods > all parsed at scale using AI agents.

Introducing a revival of PapersWithCode! As Ilya Sutskever said, we're back to the "age of research". Hence, it's important to share research and build on each other's work. > find SOTA per domain, not just LLMs > leaderboards > methods > all parsed at scale using AI agents.

83,877 次观看 • 3 个月前

Added web search to Papers with Code's upcoming chat interface This runs on Hugging Face Inference Providers via Baseten (new DeepSeek-V4 Flash), using Exa's MCP server, running inside a Modal container Drop your HF username, and I'll add you, eager for feedback :)

Added web search to Papers with Code's upcoming chat interface This runs on Hugging Face Inference Providers via Baseten (new DeepSeek-V4 Flash), using Exa's MCP server, running inside a Modal container Drop your HF username, and I'll add you, eager for feedback :)

20,030 次观看 • 1 个月前

PSA: MiniMax (official) M2.5 is freely available on OpenCode Great opportunity to check out the power of open models for coding

PSA: MiniMax (official) M2.5 is freely available on OpenCode Great opportunity to check out the power of open models for coding

49,080 次观看 • 6 个月前

Pi + local models are definitely really cool! Short demo to clean up my Desktop: > terminal 1: llama-server -hf unsloth/Qwen3.5-9B-GGUF:UD-Q4_K_XL > terminal 2: simply type "pi" and start talking to it

Pi + local models are definitely really cool! Short demo to clean up my Desktop: > terminal 1: llama-server -hf unsloth/Qwen3.5-9B-GGUF:UD-Q4_K_XL > terminal 2: simply type "pi" and start talking to it

22,854 次观看 • 4 个月前

Efficient LoFTR was just integrated into Hugging Face Transformers! It improves upon LoFTR, a detector-free image matcher, by being 2.5x faster. It can even surpass the SOTA efficient sparse matching pipeline SuperPoint + LightGlue. Now available in a few lines of code!

Efficient LoFTR was just integrated into Hugging Face Transformers! It improves upon LoFTR, a detector-free image matcher, by being 2.5x faster. It can even surpass the SOTA efficient sparse matching pipeline SuperPoint + LightGlue. Now available in a few lines of code!

32,272 次观看 • 1 年前

Open-source audio scene is quite on 🔥 lately! - kyutai STT, TTS modules and Unmute fully open-sourced - NVIDIA drops 3 models: Parakeet (beats Whisper), Audio Flamingo 3 and Canary-Qwen-2.5B (new SOTA on Hugging Face leaderboard) - Mistral AI released 3B and 24B Voxtral

Open-source audio scene is quite on 🔥 lately! - kyutai STT, TTS modules and Unmute fully open-sourced - NVIDIA drops 3 models: Parakeet (beats Whisper), Audio Flamingo 3 and Canary-Qwen-2.5B (new SOTA on Hugging Face leaderboard) - Mistral AI released 3B and 24B Voxtral

27,234 次观看 • 1 年前

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