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#352 · +84 · 1d ·GitHub
ai): Google Ads, Meta Ads, SEO and AI visibility, with the Ryze MCP (a Google Ads MCP and Meta Ads MCP in one connector) for live account data. Built by Ryze AI.
#2494 · +8 · 1d ·GitHub
SAM 3D Objects is one part of SAM 3D, a pair of models for object and human mesh reconstruction. If you’re looking for SAM 3D Body, click here.
#3015 · +5 · 1d ·GitHub
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
txt inference code, following DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment.
Visual Geometry Grounded Transformer (VGGT, CVPR 2025) is a feed-forward neural network that directly infers all key 3D attributes of a scene, including extrinsic and intrinsic camera parameters, point maps, depth maps, and 3D point tracks, from one, a few, or hundreds of its…
Folly: Facebook Open-source Library ===================================
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
#5261 · +1 · 1d ·GitHub
Catppuccin is a community-driven pastel theme that aims to be the middle ground between low and high-contrast themes. It consists of 4 soothing warm flavors with 26 eye-candy colors each, perfect for coding, designing, and much more!
Primer is GitHub's design system. This is the CSS implementation
Thank you for developing with Llama models. 1 release, we’ve consolidated GitHub repos and added some additional repos as we’ve expanded Llama’s functionality into being an e2e Llama Stack.
We are unlocking the power of large language models and our latest version of Code Llama is now accessible to individuals, creators, researchers and businesses of all sizes so that they can experiment, innovate and scale their ideas responsibly.
xFormers is: - Customizable building blocks: Independent/customizable building blocks that can be used without boilerplate code. The components are domain-agnostic and xFormers is used by researchers in vision, NLP and more.