The Reliable USB Formatting Utility
- usb
- iso
- bootable-drives
- mbr
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The Reliable USB Formatting Utility
A professional cross-platform SSH/Sftp/Shell/Telnet/Tmux/Serial terminal.
The systemd System and Service Manager
John the Ripper jumbo - advanced offline password cracker, which supports hundreds of hash and cipher types, and runs on many operating systems, CPUs, GPUs, and even some FPGAs
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
A command-line based markdown presentation tool.
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
Implementations of SIMD instruction sets for systems which don't natively support them.
Rapid spam filtering system.
LiME (formerly DMD) is a Loadable Kernel Module (LKM), which allows the acquisition of volatile memory from Linux and Linux-based devices, such as those powered by Android. The tool supports acquiring memory either to the file system of the device or over the network. LiME is unique in that it is the first tool that allows full memory captures from Android devices. It also minimizes its interaction between user and kernel space processes during acquisition, which allows it to produce memory captures that are more forensically sound than those of other tools designed for Linux memory acquisition.
Performance monitoring and benchmarking suite
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
Roaring bitmaps in C (and C++), with SIMD (AVX2, AVX-512 and NEON) optimizations: used by Apache Doris, ClickHouse, Alibaba Tair, Redpanda, YDB and StarRocks
Bloomberg's distributed RDBMS
Drop-in FSR 3.1 upscaler for Direct3D 12 that runs DLSS's network (Model E) on AMD GPUs
Nginx module for serving files from MongoDB's GridFS
37 tok/s from Qwen3-Next-80B (48 GB) on a 32 GB laptop, 24 without drafts vs 2.8 for llama.cpp; reading 62 vs 16 tok/s. Faster than llama.cpp on all 13 models compared in Q4_K_M. LLMs bigger than your RAM, pure C, CPU or GPU.
Small & portable byte-aligned LZ77 compression
A thin layer of graphic data types
Fast integer compression in C using the StreamVByte codec
zsv+lib: tabular data swiss-army knife CLI + world's fastest (simd) CSV parser
LibreELEC x86_64 with Dolby Vision support for Intel, AMD, and Nvidia. I REBASE MY REPO UNTIL THE STABLE RELEASE
Ultra High-performance Lightweight Embedded and Server OLTP RDBMS✨