email2phonenumber
imgbeddings
| email2phonenumber | imgbeddings | |
|---|---|---|
| 9 | 8 | |
| 1,949 | 122 | |
| - | - | |
| 0.0 | 0.0 | |
| 6 months ago | about 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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email2phonenumber
- FLaNK Stack Weekly for 20 Nov 2023
- From email to phone number, a new OSINT approach
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Partial Number Building
There's a tool for this with NANPA formats https://github.com/martinvigo/email2phonenumber
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Phone number / email data
ignorant and email2phonenumber can be used to match services for phone
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Phone number history of owners
You have but to ask. RIP Aaron. Information was meant to be shared with those who ask. https://www.martinvigo.com/tools/ FYI. I need to learn how to use Reddit. To quote like that. Recognize a tool on this site? Yup. Check out his other project: https://www.martinvigo.com/email2phonenumber/
- email2phonenumber – инструмент OSINT, который позволяет получить номер телефона цели, просто имея его адрес электронной почты
- Email to Phone Number Osint Tool
- email2phonenumber - A OSINT tool to obtain a target's phone number just by having his email address.
- Area Code + Prefix Info
imgbeddings
- FLaNK Stack Weekly for 20 Nov 2023
-
Content-Based Image Retrieval
Seconding the recommendation of CLIP embeddings, especially compared to image histograms + requiring OpenCV.
I wrote a naive, minimal dependency Python package to calculate image embeddings (https://github.com/minimaxir/imgbeddings) with some lookup demo notebooks and it works well in a pinch, although it's due for an upgrade.
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How to build a working AI only using synthetic data in just 5 minutes
Normally, this is Hacker News reductiveness, but yes, image classification via CLIP is that easy, especially with Hugging Face's API for it: https://huggingface.co/docs/transformers/model_doc/clip
I created a Python package to generate image embeddings from CLIP's vision model (without requiring a ML framework), and a simple linear classifier on those embeddings does the trick: https://github.com/minimaxir/imgbeddings
- GitHub - minimaxir/imgbeddings: Python package to generate image embeddings with CLIP without PyTorch/TensorFlow
- Show HN: Python package to create image embeddings without PyTorch/TensorFlow
- I've released a Python package which lets you generate vector representations of images clustering/similarity search/classifier building with a twist: neither PyTorch nor TensorFlow is used!
- [P] I've released a Python package which lets you generate vector representations of images with a twist: neither PyTorch nor TensorFlow is used!
- Show HN: Python package to create image embeddings with o PyTorch/TensorFlow
What are some alternatives?
Osintgram - Osintgram is a OSINT tool on Instagram. It offers an interactive shell to perform analysis on Instagram account of any users by its nickname
ai-music - A vanilla Trasformer Decoder music generation model trained on Final Fantasy OST MIDI songs
osmedeus - A Workflow Engine for Offensive Security
TwoPhotosOnA6x4 - Stitches 2 photos for printing on a 6"x4" photo.
h8mail - Email OSINT & Password breach hunting tool, locally or using premium services. Supports chasing down related email
FLaNK-EveryTransitSystem - Every transit system
trape - People tracker on the Internet: OSINT analysis and research tool by Jose Pino
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
rrgen - A Header Only C++ Library for Storing Safe, Randomly Generated Data Into Modern Containers
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
InstagramOSINT - An Instagram Open Source Intelligence Tool - Archive
dalle2-in-python - Use DALL·E 2 in Python