Production-Level-Deep-Learning
Production system design
A guide to building production-ready deep learning systems for real-world applications
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
4k stars
166 watching
650 forks
last commit: about 1 year ago aiartificial-intelligencedeep-learningdeploymentkubeflowmachine-learningpipelinepractical-machine-learningproduction-systemscalable-applicationssystem-designtfx
Related projects:
Repository | Description | Stars |
---|---|---|
ahkarami/deep-learning-in-production | A collection of notes and references on deploying deep learning models in production environments | 4,311 |
labmlai/annotated_deep_learning_paper_implementations | Implementations of various deep learning algorithms and techniques with accompanying documentation | 56,762 |
dair-ai/ml-papers-explained | An explanation of key concepts and advancements in the field of Machine Learning | 7,343 |
dennybritz/deeplearning-papernotes | A collection of notes and summaries on various deep learning research papers, including their topics, techniques, and applications. | 4,414 |
floodsung/deep-learning-papers-reading-roadmap | A comprehensive roadmap for learning deep learning by following key papers in the field | 38,359 |
gokumohandas/made-with-ml | Teaches machine learning fundamentals and software engineering practices for building production-ready ML applications | 37,698 |
paddlepaddle/paddle | A high-performance deep learning framework designed for industrial-scale training and deployment of neural networks. | 22,297 |
d2l-ai/d2l-en | An interactive deep learning book with code and discussions | 24,118 |
alibaba/mnn | A lightweight deep learning framework developed by Alibaba for efficient inference and training of neural networks on-device. | 8,777 |
brightmart/text_classification | An NLP project offering various text classification models and techniques for deep learning exploration | 7,866 |
lexfridman/mit-deep-learning | A collection of tutorials and code examples for learning deep learning concepts using MIT Deep Learning courses | 10,185 |
eugeneyan/applied-ml | Curated collection of papers and articles on data science and machine learning practices in production environments. | 27,385 |
thunlp/plmpapers | Compiles and organizes key papers on pre-trained language models, providing a resource for developers and researchers. | 3,330 |
deepseek-ai/deepseek-coder | A code completion model trained on large amounts of programming language data to help developers write code more efficiently. | 6,934 |
nlintz/tensorflow-tutorials | A collection of tutorials teaching deep learning with TensorFlow using Jupyter Notebooks | 6,004 |