#大语言模型#Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
#向量搜索引擎#Milvus 是一款开源的、针对海量特征向量的相似性搜索引擎
#计算机科学#MLflow 是一个开源框架,旨在管理整个机器学习生命周期。 它可以在不同的平台上训练模型并为模型提供服务,让你能够使用相同的一组工具,而不管试验是在计算机本地、远程计算目标上、虚拟机上
#效率工具集合#🦉 Data Versioning and ML Experiments
#计算机科学#An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
#计算机科学#A hyperparameter optimization framework
#大语言模型#The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
TensorFlow's Visualization Toolkit
#计算机科学#Fit interpretable models. Explain blackbox machine learning.
#计算机科学#ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
lakeFS - Data version control for your data lake | Git for data
#大语言模型#ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
#计算机科学#Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Slurm: A Highly Scalable Workload Manager
#计算机科学#An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collect...
#计算机科学#Resource scheduling and cluster management for AI
#计算机科学#Algorithms for explaining machine learning models
#算法刷题#Open-source implementation of Google Vizier for hyper parameters tuning
Experiment tracking, ML developer tools
A federated, open-source data catalog for all your big data and small data