Hadr0nic's Stars
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
PBarnaghi/ML4NS
Machine Learning for Neuroscience Module, Spring 2023 (https://www.imperial.ac.uk/study/courses/postgraduate-taught/translational-neuroscience/)
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
CompPhysics/MLSummerSchool
Material on Machine Learning methods applied to Physics analysis, with an emphasis on Regression and Deep Learning Methods. https://compphysics.github.io/MLSummerSchool/doc/web/course.html gives you direct access to the learning material with lectures slides and jupyter notebooks.
patchy631/machine-learning
CambridgeUniversityPress/FirstCourseNetworkScience
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
CompPhysics/ComputationalPhysics
Introductory course in Computational Physics, including linear algebra, eigenvalue problems, differential equations, Monte Carlo methods and more.
kimia-zahed/hamiltonian_neural_network
complexityexplained/complexityexplained.github.io
Complexity Explained, a community-driven project to create easy-to-understand documents and materials for Complexity Science education
Ziaeemehr/mndynamics
A python package for An Introduction to Modeling Neuronal Dynamics by Christoph Borgers