← 최신 프로덕트

I'm building a simple way to package

collaborate, and deploy ML models. Discover KitOps: an open-source DevOps tool that packages and versions your AI/ML models, datasets, code, and configurations into reproducible artifacts called ModelKits. Simplify your AI pipeline with standardized packaging and deployment. Heya HN, after spending +1 year building an ML-driven analytics product (that didn't pan out unfortunately), I've pivoted to solving a problem my team and I found while building the previous product … why the hell is it so hard to move a model from a Jupyter notebook, to a development server, then t.

kitops.ml 방문외부 사이트

반응 (1)

비슷한 프로덕트

설명이 비슷한 순

  1. Compile ML models into dependency-free source code for easy deployment

    waveworks.dk

    I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc...

    Hacker News37점

  2. mlop

    github.com

    open-source ML Experiment Tracking

    Hacker News10점

  3. PicoFlow

    news.ycombinator.com

    a tiny DSL-style Python library for LLM agent workflows

    Hacker News11점

  4. Connecting MLflow Hosted Models and Label Studio for Auto Labelling

    news.ycombinator.com

    I’m a PhD student working on DL interpretability & Optimization Theory.

    Hacker News5점

  5. HawkFlow.ai

    hawkflow.ai

    A new, Monitoring and MLOps tool for Data Scientist's

    Hacker News14점