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Source channel @githubtrending · Post #15365 · Dec 24

#jupyter_notebook DINOv3 offers powerful self-supervised vision models from Meta AI, like ViT up to 7B parameters and ConvNeXt, pretrained on 1.7B web or satellite images. Load them easily via PyTorch Hub, Hugging Face Transformers (v4.56+), or timm (v1.0.20+), with code examples for features, depth, detection, and segmentation. You benefit by using these top-performing, dense features without fine-tuning or labels—saving time and compute for tasks like classification, object detection, and zero-shot analysis on your images. https://github.com/facebookresearch/dinov3

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Venture Village Wall 🦄

@venturevillagewall · Post #3507 · 12/19/2024, 03:57 PM

Monad Ecosystem's Rising Interest The Monad blockchain ecosystem is gaining attention ahead of its launch, focusing on community engagement and innovative projects. Key highlights include: - Event: Demo day showcased 20 projects, co-hosted by Paradigm with a $750k prize pool. - Projects: Noteworthy initiatives included: - Kizzy: A mobile betting platform based on Twitter events. - Sparkball: A team strategy game soon on Steam. - LootGO: A Walk2Earn project, previously overlooked. - Pulse: A health-monitoring bracelet securing $1.8M funding. - Community and Hype: Founders cite strong community support as a major attractor to Monad. - Future Vision: Excitement surrounds Monad’s upcoming testnet and potential partnerships with platforms like TON. #Blockchain#Monad#Crypto#Web3#Gaming#Social#Fundraising#EVMcompatible#Paradigm#DemoDay#Kizzy#Sparkball#LootGO#Pulse#NEOWIZ#Ethereum#Funding#TokenLaunch#Community#Hype