Search Results for "cpu-g"

.... Progress bars and textures that show the exact duration of auras. Displays based on auras, health, power (mana, rage, soul shards, holy power, etc.), cooldowns, combat events, runes, totems, items, and many other triggers. Preset and user-defined animations. Custom side-effects such as chat announcements or sounds. Grouping, which allows multiple displays to be positioned and configured at the same time. CPU optimizations such as conditional loading/unloading of displays, modularity, etc.

... the multiple gameplay styles. This makes KoboldAI both a writing assistant, a game and a platform for so much more. The way you play and how good the AI will be depends on the model or service you decide to use. No matter if you want to use the free, fast power of Google Colab, your own high end graphics card, an online service you have an API key for (Like OpenAI or Inferkit) or if you rather just run it slower on your CPU you will be able to find a way to use KoboldAI that works for you.

NEBIOS 3 IS OUT NOW! Official NebiOS alternative mirror. You can use here if you have issues when downloading the NebiOS from official site. PLEASE DON'T DOWNLOAD NEBIOS FROM UNKNOWN SOURCES! NebiOS is an Ubuntu Linux-based secure, privacy-respectful, universal operating system for your daily life, enterprise, gaming that can replace macOS and Windows. Mininum System Requirements: - 64-bit 1.5 GHz 2-core x86 (Intel/AMD) or ARM (any ARM including Apple M1/M2/M3) CPU. - 2 GB RAM - 24 GB 7200...

Debian 12 whole operating system Liveram with BlindOS interface by <amigojapan>; +ollama llama2 LLM AI chat assitant included (ollama can use a GPU hardware autodetect. Non-free & non-free-firmwares packages installed. All Wifi packages installed. The file.iso size is less 6 Gigas. Xfce4 Desktop. amd64 arquitecture. To run Liveram.iso need minium 2 core CPU & 8 Gigas Ram system, The more hardware power, the faster the system will go

A tool for CNC toolpath generation. Model data in, G-Codes out. The system is kept as generic as possible. Machines with up to 9 axis can be defined. Machine simulator included.

OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google...

A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating...

The Massive G Engine is a simple yet feature-rich extensible 3D simulation engine for Robotics Research and gaming.

Dcdm-g is based direct client detection mod (dcdm) code