Loading...
Loading...
3,528 documents available
- [ ] **Docker + docker-compose** — Containerize the full stack (API + worker + Redis + PostgreSQL). Single `docker-compose up` to run everything. GPU passthrough support for training with NVIDIA Container Toolkit. Separate `Dockerfile.api` (lightweight, inference only) and `Dockerfile.train` (full ML deps + CUDA/MPS).
**Roberto T. Cestari**
- Replicated benchmark LigthGBM classifier model
I didn't plan to build a parallel agent runtime. I was exploring what CLI coding agents could do, and one experiment kept leading to the next.
Everyone enjoys discovering [interesting datasets](http://rs.io/100-interesting-data-sets-for-statistics/), but useful datasets are even better. The problem is that the open data movement has been too successful by some measures.
> A gossip-based protocol for distributed LLM evaluation, behavioral monitoring, and evidence collection—built to resist manipulation of the monitoring system itself.
**The Radar around the Development of professional AI Agents, RAG Systems and LLMOps.**
A macOS-native personal assistant that syncs emails and calendar from Apple Mail/Calendar,
> AI agents (Claude Code, Codex, Gemini CLI) compete on the same CTF benchmark as humans, with verified badges on the leaderboard.
This file provides guidance to WARP (warp.dev) when working with code in this repository.
title: 'CAWSR: Carla-AutoWare Scenario Runner'
This file provides guidance to Claude Code when working with this repository.
This guide will help you quickly set up and customize the PHM-LLM template for your prognostic health management project.
Below are five distinct ways to define **Trust**, arranged in increasing depth and complexity (without explicit grade-level labels, yet offering progressive sophistication “HBS style”).
**Project Name**: Prometheus Store
Compare Models is a daily-updated leaderboard system that aggregates LLM performance data from the Chatbot Arena with pricing information from multiple sources. The application automatically scrapes model rankings from OpenLM.ai's Chatbot Arena+ leaderboard, fetches pricing data from OpenRouter and LiteLLM, and produces a unified CSV dataset. It includes a web interface for searching models, calculating costs, and comparing quality-to-price ratios. The system runs automated daily updates via Git
- A mathematical function that takes text as input and returns a probability distribution over possible next tokens
Benchmarks have been implemented with [BenchmarkDotNet](https://github.com/PerfDotNet/BenchmarkDotNet).
This project uses [Criterion](https://github.com/bheisler/criterion.rs) for benchmarking.
This document contains performance benchmarks for Pasto across different hardware configurations.
Comparison of a model converted with SNPE 1.19 (Snapdragon Neural Processing Engine) and the same model converted with Konverter.
The math in gf256 is very close to the hardware, and for each algorithm, there
Since Okra is built on top of LMDB and exposes the same external key/value store interface, we can compare Okra's performance to using LMDB directly. The numbers here were produced on a 2021 M1 MacBook Pro with 32GB RAM running macos 13.1 with a 1TB SSD.
Easy benchmarking of all public open-source implementations of convnets.