Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
Jul 1, 2024 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A high-throughput and memory-efficient inference and serving engine for LLMs
☁️ Build multimodal AI applications with cloud-native stack
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
An orchestration platform for the development, production, and observation of data assets.
Machine Learning Engineering Open Book
Turns Data and AI algorithms into production-ready web applications in no time.
Always know what to expect from your data.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
🚀 Build and manage real-life ML, AI, and data science projects with ease!
The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
The Open Source Feature Store for Machine Learning
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
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