A simple and easy-to-use library to enjoy videogames programming
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ncnn is a high-performance neural network inference framework optimized for the mobile platform
Xv6 for RISC-V
Capstone disassembly/disassembler framework for ARM, ARM64 (ARMv8), Alpha, BPF, Ethereum VM, HPPA, LoongArch, M68K, M680X, Mips, MOS65XX, PPC, RISC-V(rv32G/rv64G), SH, Sparc, SystemZ, TMS320C64X, TriCore, Webassembly, XCore and X86.
A Tool to make Build and Run eBPF programs easier
Small & portable byte-aligned LZ77 compression
F# RISC-V Instruction Set formal specification
Theorem statements about OSS-Fuzz fuzz targets as compiled RISC-V binaries, and machine-checked Rocq proofs of them
RISC-V Specification in Coq
Ultra high-performance secp256k1 ECC engine | Python, Node.js, Rust, Go, C#, Swift, Java bindings | CUDA, Metal, OpenCL GPU | ECDSA, Schnorr, FROST, MuSig2, BIP-352 | 15+ platforms