A high-throughput and memory-efficient inference and serving engine for LLMs
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
☁️ Build multimodal AI applications with cloud-native stack
Turns Data and AI algorithms into production-ready web applications in no time.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Machine Learning Engineering Open Book
An orchestration platform for the development, production, and observation of data assets.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
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.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Build, Manage and Deploy AI/ML Systems
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
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
The Open Source Feature Store for AI/ML
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Superduper: End-to-end framework for building custom AI applications and agents.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
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