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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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@venturevillagewall · Post #3545 · 12/20/2024, 09:31 AM
Hamming AI Raises $3.8M Hamming AI has completed a funding round of $3.80 million, which took place on December 18, 2024. The company specializes in automated testing for voice agents. #HammingAI#Funding#VoiceAgents#AutomatedTesting
@AppPie · Post #2291 · 12/31/2024, 04:02 AM
#Developers Shortest: AI 驱动的自然语言测试框架 🔗GitHub Shortest 是一个基于 Playwright 的端到端测试框架，允许你用自然语言编写测试用例，由 AI 处理具体实现。 主要特点 • 自然语言测试：用日常语言描述测试场景 • AI 驱动执行：使用 Claude API 处理测试实现 • Playwright 基础：稳定可靠的测试执行 • GitHub 集成：支持双因素认证 • 邮件验证：集成 Mailosaur 开源许可证 MIT license。 #GitHub#OpenSource#Testing#AutomatedTesting#AI#Playwright 📮 频道 @AppPie