mit-deep-learning
Deep Learning Tutorials
A collection of tutorials and code examples for learning deep learning concepts using MIT Deep Learning courses
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
10k stars
643 watching
2k forks
Language: Jupyter Notebook
last commit: 11 months ago
Linked from 1 awesome list
artificial-intelligencedata-sciencedeep-learningdeep-reinforcement-learningdeep-rldeeplearningjupyter-notebooksmachine-learningmitneural-networkssegmentationself-driving-carstensorflowtensorflow-tutorials
Related projects:
Repository | Description | Stars |
---|---|---|
labmlai/annotated_deep_learning_paper_implementations | Implementations of various deep learning algorithms and techniques with accompanying documentation | 56,215 |
dennybritz/deeplearning-papernotes | A collection of notes and summaries on various deep learning research papers, including their topics, techniques, and applications. | 4,410 |
google-deepmind/deepmind-research | Provides implementations and illustrative code to accompany DeepMind research publications | 13,250 |
floodsung/deep-learning-papers-reading-roadmap | A comprehensive roadmap for learning deep learning by following key papers in the field | 38,327 |
nlintz/tensorflow-tutorials | A collection of tutorials teaching deep learning with TensorFlow using Jupyter Notebooks | 6,006 |
fchollet/deep-learning-with-python-notebooks | Companion notebooks implementing code samples from the book on deep learning with Python | 18,712 |
rasmusbergpalm/deeplearntoolbox | A Matlab toolbox providing implementations of various deep learning models | 3,795 |
google-deepmind/lab | A 3D environment for testing and training artificial intelligence agents | 7,133 |
alirezadir/production-level-deep-learning | A guide to building production-ready deep learning systems for real-world applications | 4,351 |
leriomaggio/deep-learning-keras-tensorflow | A comprehensive tutorial on building and training deep neural networks using Keras and TensorFlow | 2,948 |
oxford-cs-deepnlp-2017/lectures | An open-source repository containing lecture slides and course materials for an advanced natural language processing course. | 15,683 |
deng-cy/deep_learning_topology_opt | A toolkit for using machine learning to optimize complex geometries in simulations | 107 |
llsourcell/learn_deep_learning_in_6_weeks | A structured curriculum for learning deep learning concepts over six weeks | 2,677 |
enggen/deepmind-advanced-deep-learning-and-reinforcement-learning | An advanced course on deep learning and reinforcement learning, covering foundational concepts and topics from introduction to machine learning based AI to policy gradients and actor critics. | 821 |
iamtrask/grokking-deep-learning | An open-source book and project accompanying Grokking Deep Learning by Andre Trask, covering neural networks and deep learning concepts. | 7,449 |