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01:21
- 1h ahead - https://github.com/MarcelRaschke
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Starred repositories
Python Data Science Handbook: full text in Jupyter Notebooks
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Data and code behind the articles and graphics at FiveThirtyEight
High-Resolution Image Synthesis with Latent Diffusion Models
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
IPython Parallel: Interactive Parallel Computing in Python
Oxford Deep NLP 2017 course - Practical 1: word2vec
pyscf / PySCF_Tutorial
Forked from nmardirossian/PySCF_TutorialGlacier field course: hydro part
MarcelRaschke / Quantum
Forked from microsoft/QuantumMicrosoft Quantum Development Kit Samples
MarcelRaschke / fastbook
Forked from fastai/fastbookThe fastai book, published as Jupyter Notebooks
MarcelRaschke / fastpages
Forked from fastai/fastpagesAn easy to use blogging platform, with enhanced support for Jupyter Notebooks.
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