Обратите внимание, что не весь код из всех курсов можно найти в этом репозитории. Некоторые более новые примеры кода (например, большая часть Tensorflow 2.0) были сделаны в Google Colab. Поэтому вам следует проверить инструкции, данные в лекциях, для курса, который вы изучаете.

Как найти код для определенного курса?
Код для каждого курса разделен папкой. Вы можете определить, какая папка соответствует какому курсу, посмотрев лекцию «Где взять код» внутри курса (обычно это лекция 2 или 3).

Помните: одна папка = один курс.

Я постоянно обновляю данный список курсов

Начиная с Tensorflow 2, я начал использовать Google Colab. Для этих курсов, если не указано иное, код будет в Google Colab. Ссылки на тетради даны в курсе. 

Ссылки на Vip курсы машинного обучения

Data Science: Transformers for Natural Language Processing

https://deeplearningcourses.com/c/data-science-transformers-nlp

Machine Learning: Natural Language Processing in Python (V2)

https://deeplearningcourses.com/c/natural-language-processing-in-python

Time Series Analysis, Forecasting, and Machine Learning

https://deeplearningcourses.com/c/time-series-analysis

Financial Engineering and Artificial Intelligence in Python

https://deeplearningcourses.com/c/ai-finance

PyTorch: Deep Learning and Artificial Intelligence

https://deeplearningcourses.com/c/pytorch-deep-learning

Tensorflow 2.0: Deep Learning and Artificial Intelligence (VIP Version)

https://deeplearningcourses.com/c/deep-learning-tensorflow-2

Deep Learning Courses Exclusives

Data Science: Bayesian Linear Regression in Python https://deeplearningcourses.com/c/bayesian-linear-regression-in-python

Data Science: Bayesian Classification in Python https://deeplearningcourses.com/c/bayesian-classification-in-python

Classical Statistical Inference and A/B Testing in Python https://deeplearningcourses.com/c/statistical-inference-in-python

Linear Programming for Linear Regression in Python https://deeplearningcourses.com/c/linear-programming-python

MATLAB for Students, Engineers, and Professionals in STEM https://deeplearningcourses.com/c/matlab

Другие полезные курсы машинного обучения.

Data Science & Machine Learning: Naive Bayes in Python https://deeplearningcourses.com/c/data-science-machine-learning-naive-bayes-in-python

Cutting-Edge AI: Deep Reinforcement Learning in Python https://deeplearningcourses.com/c/cutting-edge-artificial-intelligence

Recommender Systems and Deep Learning in Python https://deeplearningcourses.com/c/recommender-systems

Machine Learning and AI: Support Vector Machines in Python https://deeplearningcourses.com/c/support-vector-machines-in-python

Deep Learning: Advanced Computer Vision https://deeplearningcourses.com/c/advanced-computer-vision

Deep Learning: Advanced NLP and RNNs https://deeplearningcourses.com/c/deep-learning-advanced-nlp

Deep Learning: GANs and Variational Autoencoders https://deeplearningcourses.com/c/deep-learning-gans-and-variational-autoencoders

Advanced AI: Deep Reinforcement Learning in Python https://deeplearningcourses.com/c/deep-reinforcement-learning-in-python

Artificial Intelligence: Reinforcement Learning in Python https://deeplearningcourses.com/c/artificial-intelligence-reinforcement-learning-in-python

Natural Language Processing with Deep Learning in Python https://deeplearningcourses.com/c/natural-language-processing-with-deep-learning-in-python

Deep Learning: Recurrent Neural Networks in Python https://deeplearningcourses.com/c/deep-learning-recurrent-neural-networks-in-python

Unsupervised Machine Learning: Hidden Markov Models in Python https://deeplearningcourses.com/c/unsupervised-machine-learning-hidden-markov-models-in-python

Deep Learning Prerequisites: The Numpy Stack in Python https://deeplearningcourses.com/c/deep-learning-prerequisites-the-numpy-stack-in-python

Deep Learning Prerequisites: Linear Regression in Python https://deeplearningcourses.com/c/data-science-linear-regression-in-python

Deep Learning Prerequisites: Logistic Regression in Python https://deeplearningcourses.com/c/data-science-logistic-regression-in-python

Data Science: Deep Learning and Neural Networks in Python https://deeplearningcourses.com/c/data-science-deep-learning-in-python

Cluster Analysis and Unsupervised Machine Learning in Python https://deeplearningcourses.com/c/cluster-analysis-unsupervised-machine-learning-python

Data Science: Supervised Machine Learning in Python https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python

Bayesian Machine Learning in Python: A/B Testing https://deeplearningcourses.com/c/bayesian-machine-learning-in-python-ab-testing

Data Science: Natural Language Processing in Python https://deeplearningcourses.com/c/data-science-natural-language-processing-in-python

Modern Deep Learning in Python https://deeplearningcourses.com/c/data-science-deep-learning-in-theano-tensorflow

Ensemble Machine Learning in Python: Random Forest and AdaBoost https://deeplearningcourses.com/c/machine-learning-in-python-random-forest-adaboost

Deep Learning: Convolutional Neural Networks in Python https://deeplearningcourses.com/c/deep-learning-convolutional-neural-networks-theano-tensorflow

Unsupervised Deep Learning in Python https://deeplearningcourses.com/c/unsupervised-deep-learning-in-python