🔢 Binary Formats - abnv · Scour

Container Transforms: Working with Nested Binary Formats 🔄Binary Translation

binary.ninja·2d·

mmgehlot/rusdantic: A unified, high-performance data validation and serialization framework for Rust, inspired by Pydantic's ergonomics and powered by Serde. ⚙️TOML Parsers

github.com·3d·Hacker News·

Towards Formal Security Proofs of MQOM 📡Binary Protocols

eprint.iacr.org·2d·

Compression.zstd – Compression compatible with the Zstandard format 📦Compression Algorithms

docs.python.org·3d·Hacker News·

Fujitsu One Compression (LLM Quantization) 📦Compression Algorithms

fujitsuresearch.github.io·1d·Hacker News·

jsongrep - A path query language for JSON, YAML, TOML, and other serialization formats. 📋JSON Parsers

terminaltrove.com·2d·

TIL: Quantisation ∀Quantified Types

anup.io·5d·

Structural modifications in strain-engineered bilayer nickelate thin films ✨Effect Inference

nature.com

·1d·

Archive Format Guide 2024: ZIP vs 7Z vs RAR vs TAR vs GZIP - Complete Compression Comparison 📦Compression Algorithms

luxa.org·3d·

Autoencoders, VAEs & GANs Explained Simply 🪜Recursive Descent

medium.com·2d·

I Read a Gzip Decompressor Written in 250 Lines of Rust — and Compression Finally Made Sense 📦Compression Algorithms

medium.com

·5d·

jhammant/Turbo1bit: Turbo1Bit: Combining 1-bit LLM weights (Bonsai) with TurboQuant KV cache compression for maximum inference efficiency. 4.2x KV cache compression + 16x weight compression = ~10x total memory reduction. 🗺️Region Inference

github.com·2h·Hacker News·

How Boost.Asio and Boost.Serialization powered a reinforcement learning cognitive radio on the ISS 📡Async Channels

boost.org·6d·r/cpp·

Googles TurboQuant Changes the Economics of Local AI Inference 🗺️Region Inference

medium.com·4d·

Google TurboQuant and What It Changes in Language Models 🪜Recursive Descent

medium.com·4d·

Pure C implementation of the TurboQuant paper (ICLR 2026) for KV cache compression in LLM inference. 🗺️Region Inference

github.com·1d·r/LocalLLaMA·

ppb: A non-allocating lexer for protocol buffers 🌊Streaming Lexers

github.com

·1d·Lobsters·

mmgehlot/bitpolar: BitPolar: near-optimal vector quantization — 3-8 bit compression with zero training. 58 integrations across every major AI framework. 🎯Bit Vectors

github.com·3d·Hacker News·

castnettech/mnemosyne: LLM context compression and retrieval engine. Zero dependencies. Sub-100ms queries. 40-70% token reduction. 🔄Subinterpreters

github.com·5d·r/SideProject·

yasha1971-coder/aceapex: compression, lossless, lz77, zstd, cplusplus, performance 📦Compression Algorithms

github.com·6d·Hacker News·

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