The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
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☁️ Build multimodal AI applications with cloud-native stack
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Python Streaming DataFrames for Kafka
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
A tool for quantitative risk analysis of Android applications based on machine learning techniques
A collection of machine-learned models for use in autonomous driving applications.