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Kubernetes Native Container Build Service
ModelFox makes it easy to train, deploy, and monitor machine learning models.
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
An open-source, low-code machine learning library in Python
Joining the modern data stack with the modern ML stack
An awesome & curated list of best LLMOps tools for developers
Distributed ML Training and Fine-Tuning on Kubernetes
Run PyTorch models in the browser using ONNX.js
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Compare neural networks by their feature similarity
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon
Free MLOps course from DataTalks.Club
TFX is an end-to-end platform for deploying production ML pipelines
A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰
😎 A curated list of awesome MLOps tools
🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
DeepLearning Framework Performance Profiling Toolkit
Coarse-grained lineage and tracing for machine learning pipelines.
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
The simplest way to serve AI/ML models in production