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nvidia

KeyKiller is designed to achieve extreme performance on modern NVIDIA GPUs, solving the Satoshi puzzle. It leverages CUDA, warp-level parallelism, and batched EC operations to push the boundaries of cryptographic key discovery. It is commonly used in research projects such as Secp256k1-CUDA,Brainflayer,BitCrack, Keyhunt CUDA BitCrack,RCKangaroo.

After optimization, version 3080 is equivalent to version 4090. I fixed address matching errors and private key conversion errors, modified the random generator, added puzzles suitable for specific regions, and more. It is commonly used in puzzle games, Brainflayer, Keyhunt, BitCrack, VanitySearch, etc.

nvencFFX is an intuitive Windows GUI application designed to streamline video processing tasks. It integrates FFmpeg with NVIDIA's NVENC for high-performance hardware-accelerated video encoding and offers features like video trimming via a user-friendly interface

Install the proprietary NVidia 470.xx driver on RHEL-based systems.

LLM powered chatbot for discussing the Reformed Christian faith (with a lean towards Presbyterianism).

https://gitlab.matthewrease.net/matthew/reformed-dave

NVIDIA Install GPU driver quest; Convert videos with ffmpeg+nvenc; Add NTFS drives; Dual screen setup; Play Windows VST plugins; GIMP + PhotoGIMP with one installation; Hide task switcher for fast Alt+Tab; Krita gray image fix

MultiCameraDeflectometry surface_model_ray_reconstruction generates a reconstructed surface of an input data set from a generalized lightfield camera before the first start you need to update the paths for the real data in functions\variable_data.py Variable select in main file: you must select the used model type (bspline or zenike) and the used method (separate or combined) you must define if the simulation or real data is used Variable selected in variable_data.py: you must select the object which should be optimized the noises for the test run can be updated if you want to look at the optimized model parameters, you need to pause the script in line 121 and watch at the result in the variable opt_res The evaluation of the scipt will compair the optimized model with the true model. The surface differenz, Difference in the Monitor pose and the optimizer quality measurement will be displayed.

OBS Studio source plugin for NVIDIA FBC API

EFI + Btrfs Filesystem, Timeshift, Zram, Lightdm Neon Theme, KDE Plasma X11/Wayland, PipeWire, Steam, Discord, VS Code, Sublime Text 4, AMD INTEL Cpu Microcode, NVIDIA AMD VM Graphic Driver.

PHP-CUDA extension PHP extension with CUDA functions PHP CUDA C-extension.

Adding support of executing cuBin modules and kernels on NVIDIA CUDA GPU cards in PHP code.

Enables execution of generated cuBin file on GPU card and processing response.

Part of OpenSource project GPUPowered.com which has goal to optimize execution of PHP code as fast as possible.

This bash script will install Xorg and the Nvidia drivers (LTS & regular) for Arch Linux, and will notify the user if any error is encountered.

Task Manager for Linux for Nvidia graphics cards

Mirrored from https://github.com/congard/nvidia-system-monitor-qt

Fedora Host NVIDIA GPU Passthrough with QEMU

This repository provides Shinobi Docker images regulary built from the official Shinobi Docker image repository and microservice Shinobi Docker images.

Plasma 5 applet to switch your integrated or discrete nvidia graphic card using prime-select from Canonical.

A collection of python and shell scripts to fix various known issues on NVIDIA based Linux desktop PC/Notebooks using the NVIDIA blob driver.

Post-installation de Linux Ubuntu et Mint sur un Asus ROG GL702VMK : problèmes et solutions.

Linux Ubuntu and Mint post-setup on an Asus ROG GL702VMK : problems and solutions - in French.

Minimalistic Docker image with FFmpeg and support for hardware acceleration based on archlinux.

You can install the latest build of this image by running docker pull migoller/ffmpeg.

Fan control GUI for Nvidia propietary drivers.

DVC Toggler for Linux