Eliciting Complex Spatial Reasoning in MLLMs through Wide-Baseline Matching
https://aim-uofa.github.io/reasonmatch/
Outperforms all other open- and closed-source spatial reasoning models, but still inferior to human accuracy. Uses #LMDB
Eliciting Complex Spatial Reasoning in MLLMs through Wide-Baseline Matching
https://aim-uofa.github.io/reasonmatch/
Outperforms all other open- and closed-source spatial reasoning models, but still inferior to human accuracy. Uses #LMDB
Dydra
A cloud-hosted RDF triplestore written in Common Lisp with a revisioned graph store that maintains versioned snapshots of previous states, queryable via a REVISION clause in SPARQL. Uses #LMDB for storage and RonDB for scaled deployments. Supports MQTT streaming for incremental changes.

A cloud-hosted RDF triplestore written in Common Lisp with a revisioned graph store that maintains versioned snapshots of previous states, queryable via a REVISION clause in SPARQL. Uses LMDB for storage and RonDB for scaled deployments. Supports MQTT streaming for incremental changes.
A high-performance jpeg decode library for AMD’s GPUs
https://packages.cachyos.org/package/cachyos-extra-v3/x86_64_v3/rocal
I don't know why a jpeg decoder depends on #LMDB but ok...
SpMAP: Transparent Sparsity for LLMs
Large Language Models (LLMs) present significant challenges when deployed on client devices, primarily due to their large weight sizes and computational demands.
SpMAP is a lightweight method that supports sparse weight tensors using existing virtual memory (VM) features. The key idea is to instantiate a sparse tensor by stacking many file-backed memory mappings atop one anonymous mapping,
https://dl.acm.org/doi/10.1145/3745756.3809197
References #LMDB . mmap ftw!

212 Posts, 99 Following, 109 Followers · Backup Recovery Open Source Software www.bareos.com
What if someone looked at Linux/POSIX mmap (and the OS's VMM subsystem) and challenged themselves with, "Hey what if we added the bare minimum additional C code on top of that to turn it into a true ACID KV database?"
and a kinda spiritual successor to and upgrade from classic BerkeleyDB of old
thats LMDB in a nutshell
one of the most brilliant designs I've learned about in a long time. very happy to add to my toolbox!
Hallo-Live: Real-Time Streaming Joint Audio-Video Avatar Generation
The method adopts a causal dual-stream DiT model to generate synchronized avatar video and speech in a streaming manner. Hallo-Live reaches 20.38 FPS with 0.94 s latency on two NVIDIA H200 GPUs, while preserving strong lip-sync accuracy, visual fidelity, and speech quality.
Built on #LMDB