How to Write an Investment Thesis
https://carta.com/learn/private-funds/management/portfolio-management/investment-thesis/
https://carta.com/learn/private-funds/management/portfolio-management/investment-thesis/
Carta
How to Write an Investment Thesis
An investment thesis clarifies how youβll make money for your fundβs LPs. Learn how to write a great thesis so you can develop a winning fund strategy.
Agno - Pure AI agents: model agnostic, blazing fast, future proof
https://www.agno.com/
https://www.agno.com/
Agno
Agno - Pure AI agents: model agnostic, blazing fast, future proof
An open-source platform to build, ship and monitor agentic systems.
Granola β The AI notepad for people in back-to-back meetings
https://www.granola.ai/
https://www.granola.ai/
Granola
Granola β The AI notepad for people in back-to-back meetings
Granola takes your raw meeting notes and makes them awesome. No awkward meeting bots - just beautiful notes for you and your team, every single time.
WeasyPrint 65.1 documentation
https://doc.courtbouillon.org/weasyprint/stable/
https://doc.courtbouillon.org/weasyprint/stable/
Claude on Google Cloud Vertex \ Anthropic
https://www.anthropic.com/google-cloud-vertex-ai
https://www.anthropic.com/google-cloud-vertex-ai
Anthropic
Claude on Google Cloud Vertex \ Anthropic
Deploy Claude's advanced language models on Google Cloud Vertex AI for enterprise solutions. Leverage powerful AI capabilities with seamless cloud integration.
Infinite tool use
https://snimu.github.io/2025/05/23/infinite-tool-use.html
https://snimu.github.io/2025/05/23/infinite-tool-use.html
snimu's blog
Infinite tool use
An LLM should never output anything but tool calls and their arguments. The tools hold the specific, instantiated state of what the model is doing and its goals, while the model itself holds only the information it requires for its immediate task and someβ¦
Retinexformer:
arxiv.org/abs/2303.06705
DeblurGANv2:
mdpi.com/2072-4292/14/1/87
MST++:
arxiv.org/abs/2204.07908
arxiv.org/abs/2303.06705
DeblurGANv2:
mdpi.com/2072-4292/14/1/87
MST++:
arxiv.org/abs/2204.07908
[2505.16993] Native Segmentation Vision Transformers
https://arxiv.org/abs/2505.16993
https://arxiv.org/abs/2505.16993
arXiv.org
Native Segmentation Vision Transformers
Uniform downsampling remains the de facto standard for reducing spatial resolution in vision backbones. In this work, we propose an alternative design built around a content-aware spatial grouping...
[2505.16442] MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection
https://arxiv.org/abs/2505.16442
https://arxiv.org/abs/2505.16442
arXiv.org
MAFE R-CNN: Selecting More Samples to Learn Category-aware...
Small object detection in intricate environments has consistently represented a major challenge in the field of object detection. In this paper, we identify that this difficulty stems from the...
Welcome to β‘ PyTorch Lightning β PyTorch Lightning 2.5.1.post0 documentation
https://lightning.ai/docs/pytorch/stable//index.html
https://lightning.ai/docs/pytorch/stable//index.html