GitHub - daverlon/ai-notebooks: Collection of AI implementations using Python and Julia

A repo containing my machine learning & deep learning implementations.

Written using the following language technologes:

Python - Scikit-Learn, PyTorch, NumPy
Julia

I developed the implementations to learn and improve my skills, thus most of the code is very imperfect...

Some of the learning resources I used:

Andrew Ng's (Standford University) Machine learning course
LearnPyTorch.io
Hands-on Machine Learning with Scikit-Learn, Keras & Tensorflow
Google.com
YouTube.com

Read more about my implementations and progress on my blog!

Name		Name	Last commit message	Last commit date
book-follow-along		book-follow-along
d2l		d2l
datasets		datasets
facial-keypoints-detection-vggnet		facial-keypoints-detection-vggnet
facial-keypoints-detection/src		facial-keypoints-detection/src
google-drawings		google-drawings
julia-implementations		julia-implementations
karpathy-lectures		karpathy-lectures
lotsaconvs		lotsaconvs
mnist-app		mnist-app
more-models		more-models
nanogpt-lecture		nanogpt-lecture
new		new
pytorch-zero-to-hero		pytorch-zero-to-hero
state_tests		state_tests
transformer		transformer
unrelated		unrelated
README.md		README.md
USA_Housing_linear_regression.ipynb		USA_Housing_linear_regression.ipynb
Untitled2.ipynb		Untitled2.ipynb
apartment_prices.ipynb		apartment_prices.ipynb
car_prices_linear_regression.ipynb		car_prices_linear_regression.ipynb
derivative_tests.ipynb		derivative_tests.ipynb
elon-tweet-ngram-generator.ipynb		elon-tweet-ngram-generator.ipynb
feedforward.py		feedforward.py
gradient_descent_numpy.ipynb		gradient_descent_numpy.ipynb
least_squares_from_scratch.ipynb		least_squares_from_scratch.ipynb
linear_regression_multiple_variables.ipynb		linear_regression_multiple_variables.ipynb
linear_regression_single_variable.ipynb		linear_regression_single_variable.ipynb
linear_regression_torch.ipynb		linear_regression_torch.ipynb
logistic_regression_binary_classification_iris.ipynb		logistic_regression_binary_classification_iris.ipynb
logistic_regression_torch.ipynb		logistic_regression_torch.ipynb
micrograd_test.ipynb		micrograd_test.ipynb
multivariate_linear_regression_test.ipynb		multivariate_linear_regression_test.ipynb
ngram-movieplot-generator.ipynb		ngram-movieplot-generator.ipynb
numpy_linear_regression_gradient_descent.ipynb		numpy_linear_regression_gradient_descent.ipynb
polynomial_regression.ipynb		polynomial_regression.ipynb
salary_data_linear_regression.ipynb		salary_data_linear_regression.ipynb
sklearn_breast_cancer_dataset_linear_regression.ipynb		sklearn_breast_cancer_dataset_linear_regression.ipynb
softmax_classifier_numpy.ipynb		softmax_classifier_numpy.ipynb
softmax_classifier_numpy_torch_comparison.ipynb		softmax_classifier_numpy_torch_comparison.ipynb

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