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.

GitHub

24k stars
418 watching
4k forks
Language: Python
last commit: 3 months ago
Linked from 1 awesome list

bookcomputer-visiondata-sciencedeep-learninggaussian-processeshyperparameter-optimizationjaxkagglekerasmachine-learningmxnetnatural-language-processingnotebookpythonpytorchrecommender-systemreinforcement-learningtensorflow

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
dsgiitr/d2l-pytorch An open-source implementation of the popular book 'Dive Into Deep Learning' in PyTorch 4,244
deepjavalibrary/djl A high-level Java framework for building and deploying deep learning models 4,144
dennybritz/deeplearning-papernotes A collection of notes and summaries on various deep learning research papers, including their topics, techniques, and applications. 4,410
labmlai/annotated_deep_learning_paper_implementations Implementations of various deep learning algorithms and techniques with accompanying documentation 56,215
alirezadir/production-level-deep-learning A guide to building production-ready deep learning systems for real-world applications 4,351
google-deepmind/lab A 3D environment for testing and training artificial intelligence agents 7,133
paddlepaddle/paddle A high-performance deep learning framework designed for industrial-scale training and deployment of neural networks. 22,258
activeloopai/deeplake A Database for AI that stores and manages various data types used in deep learning applications. 8,171
floodsung/deep-learning-papers-reading-roadmap A comprehensive roadmap for learning deep learning by following key papers in the field 38,327
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. 2,519
google-deepmind/deepmind-research Provides implementations and illustrative code to accompany DeepMind research publications 13,250
kailashahirwar/cheatsheets-ai Provides essential reference materials for machine learning and deep learning researchers and engineers 15,117
ludwig-ai/ludwig A low-code framework for building custom deep learning models and neural networks 11,189
lexfridman/mit-deep-learning A collection of tutorials and code examples for learning deep learning concepts using MIT Deep Learning courses 10,170
fchollet/deep-learning-with-python-notebooks Companion notebooks implementing code samples from the book on deep learning with Python 18,712