d2l-en
Deep learning textbook
An interactive deep learning book with code and discussions
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
24k stars
419 watching
4k forks
Language: Python
last commit: 6 months ago
Linked from 1 awesome list
bookcomputer-visiondata-sciencedeep-learninggaussian-processeshyperparameter-optimizationjaxkagglekerasmachine-learningmxnetnatural-language-processingnotebookpythonpytorchrecommender-systemreinforcement-learningtensorflow
markusschanta/awesome-kerasRelated projects:
| Repository | Description | Stars |
|---|---|---|
 dsgiitr/d2l-pytorch | An open-source implementation of the popular book 'Dive Into Deep Learning' in PyTorch | 4,256 |
 deepjavalibrary/djl | A high-level Java framework for building and deploying deep learning models | 4,204 |
 dennybritz/deeplearning-papernotes | A collection of notes and summaries on various deep learning research papers, including their topics, techniques, and applications. | 4,416 |
 labmlai/annotated_deep_learning_paper_implementations | Implementations of various deep learning algorithms and techniques with accompanying documentation | 57,177 |
 alirezadir/production-level-deep-learning | A guide to building production-ready deep learning systems for real-world applications | 4,371 |
 google-deepmind/lab | A 3D environment for testing and training artificial intelligence agents | 7,146 |
 paddlepaddle/paddle | A high-performance deep learning framework designed for industrial-scale training and deployment of neural networks. | 22,340 |
 activeloopai/deeplake | A Database for AI that stores and manages various data types used in deep learning applications. | 8,237 |
 floodsung/deep-learning-papers-reading-roadmap | A comprehensive roadmap for learning deep learning by following key papers in the field | 38,445 |
 jolibrain/deepdetect | A machine learning API and server written in C++ that supports multiple deep learning libraries and provides a flexible interface for building and deploying machine learning models. | 2,520 |
| google-deepmind/deepmind-research | Provides implementations and illustrative code to accompany DeepMind research publications | 13,329 |
 kailashahirwar/cheatsheets-ai | Provides essential reference materials for machine learning and deep learning researchers and engineers | 15,137 |
 ludwig-ai/ludwig | A low-code framework for building custom deep learning models and neural networks | 11,236 |
 lexfridman/mit-deep-learning | A collection of tutorials and code examples for learning deep learning concepts using MIT Deep Learning courses | 10,190 |
 fchollet/deep-learning-with-python-notebooks | Companion notebooks implementing code samples from the book on deep learning with Python | 18,820 |