ImageBind One Embedding Space to Bind Them All.
PyTorch implementation and pretrained models for ImageBind. For details, see the paper: ImageBind: One Embedding Space To Bind Them All.
ImageBind learns a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. It enables novel emergent applications ‘out-of-the-box’ including cross-modal retrieval, composing modalities with arithmetic, cross-modal detection and generation.
APT-Hunter is Threat Hunting tool for windows event logs which made by purple team mindset to detect APT movements hidden in the sea of windows event logs to decrease the time to uncover suspicious activity . APT-Hunter use pre-defined detection rules and focus on statistics to uncover abnormalities which is very effective in compromise assessment . the output produced with timeline that can be analyzed directly from Excel , Timeline Explorer , Timesketch , etc...
Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.
A large-scale build tool. The successor to Buck. Ready for users ∈ {C++, Python, Rust, Erlang, OCaml}.
Buck2, a large scale, fast, reliable, and extensible build tool developed and used by Meta. Buck2 supports a variety of languages on many platforms.
Meson is an open source build system meant to be both extremely fast, and, even more importantly, as user friendly as possible.
The main design point of Meson is that every moment a developer spends writing or debugging build definitions is a second wasted. So is every second spent waiting for the build system to actually start compiling code.
This application is designed to extract TOTP (Time-based One-Time Password) information from Authy by launching Authy in debug mode and using the Chrome DevTools API to communicate with the browser. It then runs a JavaScript script to decrypt and extract the TOTP information, which can be saved to a file or displayed to the user. This can be useful for those who want to migrate their TOTP information from Authy to another service, or simply want to access and view their TOTP information in an easier way.
🎚️ Open Source Audio Matching and Mastering. Matchering 2.0 is a novel Containerized Web Application and Python Library for audio matching and mastering.
It follows a simple idea - you take TWO audio files and feed them into Matchering. Our algorithm matches both of these tracks and provides you the mastered TARGET track with the same RMS, FR, peak amplitude and stereo width as the REFERENCE track has.
Collecting all the cheat sheets
Graphite make it easy to store and graph metrics.
Graphite is an enterprise-ready monitoring tool that runs equally well on cheap hardware or Cloud infrastructure. Teams use Graphite to track the performance of their websites, applications, business services, and networked servers. It marked the start of a new generation of monitoring tools, making it easier than ever to store, retrieve, share, and visualize time-series data.
OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots for various applications. The kit includes an instruction-tuned 20 billion parameter language model, a 6 billion parameter moderation model, and an extensible retrieval system for including up-to-date responses from custom repositories. It was trained on the OIG-43M training dataset, which was a collaboration between Together, LAION, and Ontocord.ai. Much more than a model release, this is the beginning of an open source project. We are releasing a set of tools and processes for ongoing improvement with community contributions.
Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification.
Official API for https://www.kaggle.com, accessible using a command line tool implemented in Python 3.
Gearman provides a generic application framework to farm out work to other machines or processes that are better suited to do the work. It allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events. In other words, it is the nervous system for how distributed processing communicates.