Havuz

EvalForge, AI evaluation sonuçlarını baseline karşılaştırmaları ve CI quality gate’leriyle değerlendirip standart rapor formatlarında yayımlar.

Neden yükseliyor · RAG evaluation sonuçlarını CI’da denetlenebilir kanıta ve release gate’lerine bağlama ihtiyacına odaklanıyor; repo 34 günde 211 yıldız almış. Ancak README bağımsız doğrulanmış downstream benimsemenin henüz bulunmadığını belirtiyor ve son 28 günde katkı tek yazardan gelmiş; ilginin gerçek kullanımın kanıtı olduğu söylenemez.

A curated collection of AI learning materials

Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security

The Best TypeScript framework for fine-tuning

Agent Execution Partnership AEE is an open-source control plane that ensures every AI agent action is authorized before it runs, observable

An orchestration runtime for multi-agent AI systems. Declare agents, tools, and policies as YAML; Orloj schedules, executes, routes, and gov

Intelligent multi-LLM router with task-aware routing strategies, cost optimization, and production safety controls — drop-in OpenAI-compatib

ZKE（Z Kubernetes Engine）：AI 原生的 Kubernetes 云操作环境，桌面式多集群控制台加受控 AIOps Agent，基于 Server + Agent 与 QUIC/mTLS，适用于私有云、混合云及边缘环境

Self-hosted vLLM made simple. Git-friendly YAML for models and profiles, full lifecycle from an intuitive CLI and TUI.

Distill a repeated Jev classification task into a local model, on the fly — same answers, your hardware.

obra/superpowers extended — 14→24 skills, 6 GadaaLabs engineering improvements, override infrastructure, one-command install

Best AI Workload Orchestrator for Kubernetes Python 2026

Streamline AI Workloads on Kubernetes: Universal Python SDK Guide 2026

Open-source infrastructure for the full inference lifecycle: deploy, observe, scale, optimize, and safely release self-hosted models behind

Plug-and-play, dependency-free web command center for DGX Spark fleets (and any GPU boxes): live per-node GPU/CPU/mem/temps/power, optional

A design-of-experiments platform for evaluating compound AI systems - find which technique drives quality, by how much, and whether the di

Learned comprehensive MLOps practices covering the complete machine learning lifecycle from development to production deployment and monitor

Static reproducibility checks, experiment replay, and verification for ML pipelines.

Self-hosted, distributed, multi-model LLM inference

CLI tool to see & manage what's running on your ports ✨

Ground Truth: A working developer's path into AI and machine learning, with interactive explanations, reproducible Python labs, and practica

A research lab's Claude Code setup: 67 skills, hooks and rules, plus a knowledge base in plain git — GitHub for ideas. A question goes in, k

The open-source, local-first alternative to LangSmith. No cloud. No setup.

iPAS AI 應用規劃師（中級）考綱教科書 v0.3 開源版（含三冊完整教材、219 題模擬題、300 題官方試題解析索引與 PDF 編譯工具）

Practical LLM evaluation for teams that ship to production. Deterministic + LLM-as-judge evaluators, dataset support, CI/CD integration.

One CLI to search, provision, and manage cloud GPUs across 10 providers

Proxima lets existing GPUs serve 4x more concurrent requests

Why is LLM inference slow — and how do you make it fast? A hands-on, first-principles course: roofline → KV cache → quantization → paralleli

Enterprise-ready CI/CD reference for Microsoft Foundry AI agents, with parallel GitHub Actions and Azure DevOps pipelines, evaluation-driven

⚖️ Kadı — a calibrated judge in front of your frontier LLM. Routine decisions answered locally with a conformal-prediction guarantee (≤ α di

Declarative Python SDK for building AI inference platforms on Kubernetes — bare machines to a served model, composed rather than hand-assemb

面向小团队的一站式 NLP 小模型平台:数据集版本管理 · 训练 · 评估 · 在线部署 · Badcase 闭环,内置大模型 Prompt 盲测评测(人工 + AI 双指标)。

Hands-on GPU/HPC infrastructure operations: K8s GPU scheduling, HAMi sharing, Slurm, observability & vLLM inference. Learn it free on a lapt

A complete, structured end-to-end roadmap to become a versatile Generalist AI Engineer from Python/math foundations through ML/DL, CV, NLP,

Local-first observability and evaluation for production forecasts - capture, validate, and compare forecasts with a local UI.

Companion code for the Manning book 'LLM Customization and Fine-Tuning.' Adapt open-weights LLMs end to end: prompting and RAG, LoRA/QLoRA,

Profine automatically profiles and optimizes PyTorch training jobs on real GPUs, delivering measurable speedups and lower GPU costs before t

Honeycomb Lab — hex map + OpenAI gateway control plane for a home AI fleet

LLM providers frequently update their models without changing the model string or announcing behavioral shifts. These changes cause silent r

Open-source control plane for governed ModelOps — fine-tune, evaluate, promote, and serve models as cost-capped, policy-gated, audited comma

The Continuous Verification and Optimization layer for self-hosted LLMs

A free, step-by-step roadmap from zero to AI engineer, built entirely from official Microsoft Learn content. Covers AI fundamentals, ML, gen

A lightweight LLM evaluation layer that turns subjective model outputs into deterministic decisions by scoring attribution, specificity, rel

Production-grade Machine Learning, Data Science & MLOps skills for AI coding agents (Codex, Claude Code, Cursor, OpenCode). One npx command