Search Results for "safety" - Page 3

...It provides a unified interface—agents, teachers, and worlds—so the same model can be trained on multi-turn chit-chat, question answering, task-oriented dialogue, retrieval, or safety-focused datasets without changing core code. The library integrates tightly with PyTorch and supports both generative and retrieval-augmented models, along with utilities for multitask training and model selection. A large set of built-in tasks and dataset loaders (with consistent preprocessing and metrics) makes it easy to compare methods under shared conditions. ...

Ultroid, a pluggable telegram userbot, made in python using Telethon! Ultroid has been written from scratch, making it more stable and less crashes. Ultroid warns you when you try to install/execute dangerous stuff (people nowadays make plugins to hack user accounts, Ultroid is safe). Unlike many others userbots that are being suspended by Heroku, Ultroid doesn't get suspended. Ultroid has been written from scratch, making it more stable and less of crashes. Error handling been done in the...

...Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. The absence of large datasets of ‘with_mask’ images has made this task cumbersome and challenging. Our face mask detector doesn't use any morphed masked images dataset and the model is accurate. Owing to the use of MobileNetV2 architecture, it is computationally efficient, thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.).

...At OpenAI, we believe that deep learning generally, and deep reinforcement learning specifically, will play central roles in the development of powerful AI technology. To ensure that AI is safe, we have to come up with safety strategies and algorithms that are compatible with this paradigm. As a result, we encourage everyone who asks this question to study these fields. However, while there are many resources to help people quickly ramp up on deep learning, deep reinforcement learning is more challenging to break into.

SCRAM is a free and open source probabilistic risk analysis tool. The tool is under development to include fault tree, event tree, common cause, and other standard analyses.

Polar Bear Safety Switch is an Open Source suite that has been designed for reliable, un-attended shutdown of Juniper devices (M, EX and SRX series), Checkpoint appliances as well as multiple UNIX based SSH enabled devices.

BlackRay is a high performance relational database, which combines regular database features with search engine like performance. Full transaction support, SQL and version controlled persisted snapshots characterize BlackRay.

ReliaFree is a Python and PyGTK based suite of tools to assist in Reliability, Availability, Maintainability, and Safety (RAMS) analyses. ReliaFree is intended to be an Open Source alternative to proprietary RAMS analyses solutions.

The PyAALib project is a Python implementation of the Asynchronous Action Framework based in Pure Object Oriented Concepts to develop asynchronous communication between threads (thread safety) and external process.

AALib/PyAALib - Asynchronous Action Library Project - The project is a Framework based on Pure Object Oriented Concepts to develop asynchronous communication between threads (thread safety) and external process. Platforms: Windows, MacOSX, Linux,Sola

RTL-Check is a framework for static analysis of programs from a safety and security perspective. It performs analysis on RTL, which is the low-level intermediate representation generated by GCC

SVATS [Safety Verification Analysis added To Spice] is a Pyhton written EDA tool used for adding repetitive analysis capabilities to perform FMEAs on analog and mixed analog-digital electronic circuits using Berkeley Spice-like simulation SW