Search Results for "ios time machine"

Filament is a real-time physically-based renderer written in C++. It is mobile-first, but also multi-platform. We are very conscientious about keeping Filament small, fast to load, and focused on rendering. For example, Filament does not compile materials at run time. Instead, we provide a command line tool (matc) that does this offline. Filament is a physically based rendering (PBR) engine for Android. The goal of Filament is to offer a set of tools and APIs for Android developers that will...

...Try Sourcery for your next project or add it to an existing one, you'll save a lot of time and be happy you did! Sourcery allows you to get rid of repetitive code and create better architecture and developer workflows. An example might be implementing Mocks for all your protocols, without Sourcery you will need to write hundreds lines of code per each protocol.

...It is designed to be AI-agent friendly, with YAML output by default and optional JSON output for automation or downstream processing. The project keeps data local, decrypts in real time, and avoids full pre-decryption workflows. It is useful for users who need searchable, scriptable access to their own WeChat records while preserving local control over the data.

LM Studio CLI (lms) is a command-line tool designed to help developers manage and interact with LM Studio directly from the terminal. Built with lmstudio.js, it provides a streamlined interface for controlling local language models and API server operations. The CLI ships with LM Studio 0.2.22 and newer, making it easy to manage models without additional complex setup. With simple subcommands, users can check system status, start or stop the local server, and monitor logs in real time. It...

Adobe Malware Classifier is a command-line tool that lets antivirus analysts, IT administrators, and security researchers quickly and easily determine if a binary file contains malware, so they can develop malware detection signatures faster, reducing the time in which users' systems are vulnerable. Malware Classifier uses machine learning algorithms to classify Win32 binaries – EXEs and DLLs – into three classes: 0 for “clean,” 1 for “malicious,” or “UNKNOWN.” The tool was developed using models resultant from running the J48, J48 Graft, PART, and Ridor machine-learning algorithms on a dataset of approximately 100,000 malicious programs and 16,000 clean programs. ...

Let's you synchronize related scheduled jobs, which execute across many different machines. Instead of adding time padding between jobs (which can fail), use this utility. Please feel free to add more functions!