⚡ Modern Compression - matmat · Scour

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

docs.python.org·3d·Hacker News·

Zstandard Across the Stack ⚡ZStandard

oddur.me·6h·Hacker News·

MacBook Neo review: the budget Apple laptop powered by an iPhone chip 🖥️Vintage Macintosh

theguardian.com·2d·

Fujitsu One Compression (LLM Quantization) 📊Quantization

fujitsuresearch.github.io·21h·Hacker News·

Big2Small: A Unifying Neural Network Framework for Model Compression 📊Quantization

arxiv.org·1d·

Hardware Image Compression ⚡Compression Hardware

ludicon.com·5d·Hacker News, r/programming·

coderjack/turboquant-rs: QJL + PolarQuant vector compression, semantic memory for AI agents, MCP server ✅Verification Codecs

github.com·11h·Hacker News·

'A high-speed digital cheat sheet': Google unveils TurboQuant AI-compression algorithm, which it claims can hugely reduce LLM memory usage 📊Quantization

techradar.com

·3d·

OneComp: One-Line Revolution for Generative AI Model Compression 🧠Neural Compression

arxiv.org·1d·

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

github.com·2d·Hacker News·

HLC: A High-Quality Lightweight Mezzanine Codec Featuring High-Throughput Palette 🎥Streaming Codecs

arxiv.org·1d·

yasha1971-coder/aceapex: compression, lossless, lz77, zstd, cplusplus, performance 🗜️LZSS Variants

github.com·6d·Hacker News·

Fast Topology-Aware Lossy Data Compression with Full Preservation of Critical Points and Local Order 📐Compression Mathematics

arxiv.org·2d·

RAWIC: Bit-Depth Adaptive Lossless Raw Image Compression 🧠Neural Compression

arxiv.org·2d·

Once-for-All Channel Mixers (HYPERTINYPW): Generative Compression for TinyML ⚡Compression Hardware

arxiv.org·6d·

KVSculpt: KV Cache Compression as Distillation ⚡Cache Theory

arxiv.org·2d·

A Compression Perspective on Simplicity Bias 🧠Neural Compression

arxiv.org·3d·

Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression 🧠Neural Compression

arxiv.org·2d·

MEDiC: Multi-objective Exploration of Distillation from CLIP 🧠Learned Codecs

arxiv.org·1d·

PQuantML: A Tool for End-to-End Hardware-aware Model Compression 📊Quantization

arxiv.org·3d·

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