Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
- yaml
- jq
- command-line
- json
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Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
SSH server auditing (banner, key exchange, encryption, mac, compression, compatibility, security, etc)
Keep track of your inventory of 3D-printer filament spools.
A generic, spec-compliant, thorough implementation of the OAuth request-signing logic
Data manipulation and transformation for audio signal processing, powered by PyTorch
Given an existing docker container, prints the command line necessary to run a copy of it.
A :baby: buddy to help caregivers track sleep, feedings, diaper changes, tummy time and more to learn about and predict baby's needs without (as much) guess work.
chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse
Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing information and emotions respectively, while a fully streaming architecture eliminates latency at the fundamental level.
Rated, auto-refreshed list of decompiled, recompiled & reverse-engineered games: decomps, static recomps, source ports, engine remakes, browser ports.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Proxy over your Docker socket to restrict which requests it accepts
Compresses linked and inline javascript or CSS into a single cached file.
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
Create randomly insecure VMs
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Algorithms for explaining machine learning models
wxPython's Project Phoenix. A new implementation of wxPython, better, stronger, faster than he was before.
A WeeChat script for Slack.com. Supports threads and reactions, synchronizes read markers, provides typing notification, etc..
Run MapReduce jobs on Hadoop or Amazon Web Services
Version controlled file system
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.