RunLLM / aqueductLinks
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
☆520Updated 2 years ago
Alternatives and similar repositories for aqueduct
Users that are interested in aqueduct are comparing it to the libraries listed below
Sorting:
- Class notes for the course "Long Term Memory in AI - Vector Search and Databases" COS 597A @ Princeton Fall 2023☆323Updated 9 months ago
- Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.☆1,091Updated this week
- FlorDB 🌻☆155Updated last month
- ☆31Updated 3 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆468Updated 3 years ago
- An open-source ML pipeline development platform☆996Updated 10 months ago
- A portable Multimodal Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to you…☆249Updated last month
- Making data lake work for time series☆1,182Updated last year
- Distributed SQL Query Engine in Python using Ray☆246Updated last year
- Explore and understand your training and validation data.☆848Updated 10 months ago
- AI Data Management & Evaluation Platform☆216Updated 2 years ago
- Framework for benchmarking vector search engines☆340Updated this week
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆668Updated 8 months ago
- New file format for storage of large columnar datasets.☆642Updated this week
- Unified storage framework for the entire machine learning lifecycle☆155Updated last year
- High performance model preprocessing library on PyTorch☆646Updated last year
- VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of y…☆695Updated last year
- The simplest way to serve AI/ML models in production☆1,083Updated last week
- Promptimize is a prompt engineering evaluation and testing toolkit.☆482Updated this week
- Framework for building data agent workflows☆84Updated last year
- Ray-based Apache Beam runner☆41Updated 2 years ago
- Scale LLM Engine public repository☆814Updated last week
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆398Updated 10 months ago
- UnionML: the easiest way to build and deploy machine learning microservices☆336Updated 2 years ago
- Distributed XGBoost on Ray☆152Updated last year
- Python client library for Modal☆408Updated this week
- Prepare requirements and deploy Flyte using Helm☆79Updated 7 months ago
- This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.☆441Updated last year
- CodexDB generates code for SQL query processing via OpenAI's GPT-3 Codex model.☆102Updated 11 months ago
- Work with your web service, database, and streaming schemas in a single format.☆343Updated 2 months ago