A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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Updated
Sep 13, 2025
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A comprehensive guide designed to empower readers with advanced strategies and practical insights for developing, optimizing, and deploying scalable AI models in real-world applications.
Репозиторий направления Production ML, весна 2021
The objective of this coding exercice is to train a simple neural network on the mnist dataset in order to classify the handwritten digits into numbers ranging from zero to 9.
Using machine learning and applied analytics to identify high-residual opioid prescribers
Hands-on project to learn MLOps fundamentals with GCP-native services (Vertex AI, Cloud Run, Cloud Functions, Cloud Build, GCS) using Fashion-MNIST dataset
95% accurate weather image classifier with TensorFlow and Grad-CAM. Demonstrates production ready ML skills: transfer learning, data augmentation, interpretability, and error analysis.
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