80 skills found · Page 1 of 3
rooklift / NibblerChess analysis GUI for UCI engines, with extra features for Leela (Lc0) in particular.
ndd7xv / HehA terminal UI to edit bytes by the nibble.
mattbierner / STT C Compile Time SnakeSnake/Nibbler implementation using C++ template metaprogamming
mahmoudimus / Ida Sigmakersigmaker is a zero-dependency IDA Pro 9.0+ cross-platform signature maker plugin with optional SIMD (e.g. AVX2/NEON/SSE2) speedups that works on MacOS/Linux/Windows. It allows configurable wildcard operand patterns, nibbles, and signature generation just by right clicking.
alloy-rs / TrieFast Merkle-Patricia Trie (MPT) state root calculator and proof generator for prefix-sorted nibbles
mislav / NibblerA cute HTML scraper / data extraction tool in under 70 lines of code
macadmins / Nibblerpython pyobjc utility for macOS for displaying dialogs using .nib files
FlorianWendelborn / Bitwise:keycap_ten: JavaScript/TypeScript library to manipulate bits, nibbles, bytes, and buffers.
gophun / NibblesQBasic Nibbles in Go
superwills / NibbleAndAHalf"Nibble And A Half" is an ANSI C library that provides fast base64 encoding and decoding, all in a single header file.
asweigart / ThreadwormsA multithreaded programming demonstration in Python & Pygame using a "Nibbles" clone.
mattrobenolt / Node NibblerBase32/base64 encode/decode library for Node
alloy-rs / NybblesEfficient nibble-sized (4-bit) byte sequence data structure
Jac-Zac / Nibbler MacOSVersion of Nibbler for MacOS
regehr / Nibble SortMany functions in C for sorting the nibbles in an 8-byte word
RetiaLLC / NibbleOpen Source Nibble Release
DrAma999 / BitWiserA simple library to help you in dealing with bytes, bits and nibbles :-)
PhilipTrauner / NibblerRuntime Python bytecode optimizer. ⚡️
nauful / NLZMDictionary compressor with nibbled ANS and optimal parsing. Other compression experiments.
google-research-datasets / Adversarial NibblerThis dataset contains results from all rounds of Adversarial Nibbler. This data includes adversarial prompts fed into public generative text2image models and validations for unsafe images. There will be two sets of data: all prompts submitted and all prompts attempted (sent to t2i models but not submitted as unsafe).
