m2dsupsdlclass /
lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
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LSSTC-DSFP / repository
Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program
This repository houses the material and Jupyter notebooks associated with the Large Synoptic Survey Telescope Corporation (LSSTC) Data Science Fellowship Program (DSFP).
The LSSTC DSFP is a two year training program designed to teach skills required for LSST science that are not easily addressed by current astrophysics programs. The program consists of three, one-week schools per year over a two year period.
The LSSTC Data Science Fellowship Program is a supplement to graduate education in astronomy, intended to teach astronomy students essential skills for dealing with big data.
Selected from shared topics, language and repository description—not editorial ratings.
m2dsupsdlclass /
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
benedictpaten /
Lecture Notes and Slides for UCSC CSE20, formatted as Jupyter Notebooks.
AysenurYrr /
📚 This repository contains course materials for Istanbul Medeniyet University - Computer Engineering courses. It includes lecture slides, notes, books, Jupyter Notebooks, and project files to assist students in their studies. 🚀
abursuc /
Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS
CompPhysics /
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.
tahamajs /
This repository collects lecture slides, assignments (CAs), code notebooks, reports, and reference papers used in the "Deep Generative Models" course (University of Tehran). The materials are organized to be reproducible and educational: each assignment contains an annotated Jupyter notebook, supporting code, and a report.Deep Generative Models