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A Chrome extension for finding the numeric profile ID of a Facebook account. The page explains that Facebook accounts have unique profile IDs and that personalised usernames can appear in the address bar instead. It notes that other websites already convert such URLs to IDs and states the extension aims to make the process more user friendly.
A Chrome extension that restores the pre-2018 ability to look up the Facebook account linked to an email address, subject to privacy settings. It requires the user to be logged in to a Facebook account while the page is active, and returns the profile ID and profile image when a match is found.
The Facebook Friends List Generator is a Chrome extension published in version 1.0 on October 20, 2019. It is presented as a tool for OSINT investigations where a user's friend list cannot be viewed due to privacy settings, offering an alternative to reviewing likes and comments on a timeline. The author notes the source code is obfuscated and that antivirus software may flag it.
Aware Online page with Facebook OSINT search forms and shortcuts for public profile research.
Searches archived Facebook scraped-data collections for research on exposed public profile information.
Facebook helps find books, reading material, archives, or public-domain educational texts.
IntelTechniques page with Facebook search links and tools for public profile and post research.
Detectron2 is Facebook AI Research's next generation library providing detection and segmentation algorithms, succeeding Detectron and maskrcnn-benchmark. It supports computer vision research projects and production applications at Facebook and includes capabilities such as panoptic segmentation, Densepose, Cascade R-CNN, rotated bounding boxes, PointRend, DeepLab, ViTDet and MViTv2. Models can be exported to TorchScript or Caffe2 format for deployment.
Pidantuan is a free mutual help academic community that provides access to scientific research content. It offers Sci-Hub unlocker tools, free scientific articles, free research papers, and other scientific research tools with no charged fees. The community shares academic content from publishers including Elsevier, Wiley, Oxford, and JAMA, and operates associated Facebook and Telegram groups for users.
ImageBind is a PyTorch implementation with pretrained models from FAIR, Meta AI. It learns a joint embedding across six modalities: images, text, audio, depth, thermal, and IMU data. The release includes code and model weights under the CC-BY-NC 4.0 license.
Foundational Models for State-of-the-Art Speech and Text Translation.
A Hackaday article by Matthew Carlson explaining why LLaMa matters. It describes LLaMa as a transformer language model from Facebook/Meta research spanning 7 billion to 65 billion parameters, and notes that llama.cpp runs inference with 4-bit quantization.
Faiss is a library for efficient similarity search and clustering of dense vectors, containing algorithms that search sets of vectors of any size. It is written in C++ with complete wrappers for Python/numpy, with some algorithms implemented on the GPU, and is developed primarily at Meta's Fundamental AI Research group.
AI Agent Teams for multi-app social media marketing — automated trend research, content creation, optimization, publishing, and analytics across TikTok, Instagram, YouTube, Facebook, Reddit, X, and Pinterest
segment-anything (SAM) is an open-source GitHub repository from Meta's Facebook Research team for the Segment Anything Model. It provides code for running model inference, links to download trained model checkpoints, and example notebooks demonstrating model usage, with support for segmenting objects in images and videos via SAM 2.
StemRoller is an open-source application that uses AI and machine learning to isolate instruments and vocals from songs. After a user searches for a song title, it finds the song online and splits it into four stems: vocals, drums, bass and everything else, also creating an instrumental track of the non-vocal stems. It is based on Facebook's Demucs research project.
Version Museum is a gallery site that presents the visual history of popular websites, operating systems, applications, and games through original screenshots. It focuses on design changes across historic versions of technology rather than written history, with collections covering sites such as Amazon.com, Apple.com, Facebook, Google Search, and YouTube.
A simple and efficient end-to-end Automatic Speech Recognition (ASR) system from Facebook AI Research.
