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atomai

Deep and machine learning for atomic-scale and mesoscale data

atpesc_machinelearning

autoencoders

Implementation of simple autoencoders networks with Keras

chemical_vae

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

data-science-course

Data Science Course Materials - Fall 2014

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

hands-on-ml-book

Exercices from Hands On Machine Learning with Scikit-learn, Keras and Tensorflow, Aurelion Géron

lsun

LSUN Dataset Documentation and Demo Code

ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

pytorch-deep-learning

Deep Learning (with PyTorch)

tf2

tmm

transfer-matrix method for optics of thin and thick multilayer films

uc_poster_format_latex

Gemini is a modern LaTex beamerposter theme 🖼

vae-for-regression

A toy example of VAE-regression network