Showing 101-120 of 153 projects
LocalAGI is a self-hostable AI agent platform focused on privacy and flexibility, with advanced capabilities for consumer-grade hardware.
A Python-based multimodal OCR tool for efficient offline processing of LaTeX, ZhEn, and tables on Windows.
A Rust CPU profiler implemented with the help of backtrace-rs, useful for performance analysis.
RandomX is a proof-of-work algorithm based on random code execution, suitable for CPU mining of cryptocurrencies.
An efficient C++ implementation of the RWKV language model for fast CPU inference on various bit-width quantizations.
An anti-DDoS Lua script for Nginx to protect web servers from various attack types using a JavaScript-based authentication puzzle.
A fast and user-friendly runtime for running transformer models like BERT, GPT-2, and others on CPU and GPU.
A high-performance C++ SIMD vector library for data-parallel computing across various CPU architectures.
A multi-purpose toolkit for advanced device management, including app installation, CPU tuning, and more.
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices.
A macOS app that monitors your computer's fan speed and CPU/GPU temperature from the Notification Center.
A real-time plotting utility for terminal/console with data input from stdin.
A Rust-based, sudoless performance monitoring tool for Apple Silicon processors.
Measures the latency between CPU cores, useful for developers optimizing performance.
A one-click script for maintaining, installing, and managing PVE9 (Debian13) systems.
Portable C++ SIMD library with support for various CPU instruction sets like AVX, NEON, and VSX.
CPU scheduler using astrological principles as a creative/humorous Rust implementation
A Rust-based system monitoring tool with CPU, GPU, memory, and process tracking for GNOME desktops.
A real-time performance monitoring tool for Android and iOS apps to measure CPU, memory, and network usage.
A lightweight 8-bit CPU simulator written in Python, useful for understanding low-level computer architecture.
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