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amin

amls-pytorch

awesome-materials-informatics

Curated list of known efforts in materials informatics

azure-machine-learning-engineering

Azure Machine Learning Engineering, published by Packt

beginners-pytorch-deep-learning

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

cnms_ml_in_ms_workshop_2019

Machine Learning in Materials Science: An Introduction through Python. Workshop as part of CNMS User Meeting 2019

cnn_gaussian_process_uncertainty

Use Gaussian processes to estimate CNN classification uncertainty

code_snippets

cosinesampler

Triple backward custom CUDA kernel for interpolation supporting third order gradients

covid_19_jhu_data_web_scrap_and_cleaning

This repository contains data and code used to get and clean data from https://github.com/CSSEGISandData/COVID-19 and https://www.worldometers.info/coronavirus/

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

csums2022_pinns

Simple examples of physics-informed neural networks

data-science-interview-assignments

Real data science interview assignments

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

deep-learning-with-pytorch-lightning

Getting Started with PyTorch Lightning, Published by Packt

dl-rom

Deep Learning for Reduced Order Modelling

ema6938

Jupyter Notebooks for the course EMA 6938 Machine Learning and Data Science of Materials.

fastbook

The fastai book, published as Jupyter Notebooks

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

hands-on-time-series-analylsis-python

Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel

ineuron_industry

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

introduction_to_pymc3

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

maml

Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.

manufacturing-data-science-with-python

Data science applied to problems in manufacturing (and some other ML stuff too).

mastering-azure-machine-learning

Mastering Azure Machine Learning, published by packt

math-for-machine-learning-manning

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

models

Models and examples built with TensorFlow