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9 results tagged gpu  ✕   ✕
randaller/llama-chat https://github.com/randaller/llama-chat
Thu 13 Apr 2023 11:08:50 AM PDT archive.org

This repository is a chat example with LLaMA models running on a typical home PC. You will just need a NVIDIA video card and some RAM to chat with model. By using HF version you may fine-tune the model to any desired task.

System requirements: A modern enough CPU, NVIDIA graphics card (2 Gb of VRAM is ok); HF version is able to run on CPU, or mixed CPU/GPU, or pure GPU, 64 or better 128 Gb of RAM (192 would be perfect for 65B model).

python ai ml personal gpu selfhosted
XuehaiPan/nvitop https://github.com/XuehaiPan/nvitop
Mon 12 Dec 2022 09:37:28 PM PST archive.org

Top, but for GPU processing on nVidia cards.

python nvidia gpu monitoring cuda
Sanster/lama-cleaner https://github.com/Sanster/lama-cleaner
Thu 03 Mar 2022 03:47:50 PM PST archive.org

An AI assisted utility in which you scribble over something you want removed from an image, and it extrapolates and knits the surrounding background over it. CUDA enabled. Works with high resolution images just as well as boring ones. Multi-stroke support.

python gui graphics editor ai gpu
anderskm/gputil https://github.com/anderskm/gputil
Fri 12 Nov 2021 02:26:07 PM PST archive.org

GPUtil is a Python module for getting the GPU status from NVIDA GPUs using nvidia-smi. GPUtil locates all GPUs on the computer, determines their availablity and returns a ordered list of available GPUs. Availablity is based upon the current memory consumption and load of each GPU. The module is written with GPU selection for Deep Learning in mind, but it is not task/library specific and it can be applied to any task, where it may be useful to identify available GPUs.

nvidia-smi aside, all of its dependencies are in the basic Python install.

python modules gpu monitoring exocortex systembot
GitHub - Ricks-Lab/gpu-utils: A set of utilities for monitoring and customizing GPU performance https://github.com/Ricks-Lab/gpu-utils
Mon 29 Jun 2020 02:39:02 PM PDT archive.org

In order to get maximum capability of these utilities, you should be running with a kernel that provides support of the GPUs you have installed. If using AMD GPUs, installing the latest amdgpu driver package or the latest ROCm release, may provide additional capabilities. If you have Nvidia GPUs installed, you should have nvidia-smi installed in order for the utility reading of the cards to be possible. Writing to GPUs is currently only possible for AMD GPUs.

python exocortex gpu cli utilities monitoring
GitHub - TachibanaYoshino/AnimeGAN https://github.com/TachibanaYoshino/AnimeGAN
Tue 24 Mar 2020 03:00:26 PM PDT archive.org

A generative adversarial network that takes images and re-does them in various anime studios' styles. GPU enabled. Download the pre-trained model to get a jumpstart.

ai ml images conversion anime python gpu
jbush001/NyuziProcessor: GPGPU microprocessor architecture https://github.com/jbush001/NyuziProcessor
Fri 23 Nov 2018 05:06:06 PM PST archive.org

Nyuzi is an experimental GPGPU processor hardware design focused on compute intensive tasks. It is optimized for use cases like deep learning and image processing.

This project includes a synthesizable hardware design written in System Verilog, an instruction set emulator, an LLVM based C/C++ compiler, software libraries, and tests. It can be used to experiment with microarchitectural and instruction set design tradeoffs.

open hardware cpu gpu architecture fpga simulator
raspberrypi/userland https://github.com/raspberrypi/userland
Tue 20 Mar 2018 12:44:35 AM PDT archive.org

Broadcom opensourced the GPU drivers for the RaspberryPi under a three-clause BSD license. The code is fully functional, hasn't been reverse engineered, and can be compiled and used imediately on the RasPi.

foss raspi drivers broadcom bcm2835 libraries linux gpu arm
mozilla/DeepSpeech: A TensorFlow implementation of Baidu's DeepSpeech architecture https://github.com/mozilla/DeepSpeech
Mon 19 Mar 2018 10:34:08 PM PDT archive.org

Can be used with audio files and probably a hot mic to transcribe speech into text for later processing. Uses git Large File Storage for the neural network objects. GPU acceleration enabled. Includes trained models as well as source code. Available in PyPy as deepspeech and deepspeech-gpu. Supports the RasPi explicitly as a platform, interestingly.

Looking at the releases page is a good way to keep up with the project: https://github.com/mozilla/DeepSpeech/releases

python exocortex leandra tensorflow speechtotext gpu speechrecognition
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