69 Repositories
Python materials Libraries
Everything I needed to understand what was going on with "Spring4Shell" - translated source materials, exploit, links to demo apps, and more.
springcore-0day-en These are all my notes from the alleged confirmed! 0day dropped on 2022-03-29. This vulnerability is commonly referred to as "Sprin
Course materials for: Geospatial Data Science
Course materials for: Geospatial Data Science These course materials cover the lectures for the course held for the first time in spring 2022 at IT Un
A repository of study materials related to Think Python 2nd Edition by Allen B. Downey. More information about the book can be found here: https://greenteapress.com/wp/think-python-2e/
Intro-To-Python This content is based on the book Think Python 2nd Edition by Allen B. Downey. More information about the book can be found here: http
All materials of Cassandra Event, Udyam'22
Cassandra 2022 Workspace Workshop Materials Workshop-1 Workshop-2 Workshop-3 Workshop-4 Assignments Assignment-1 Assignment-2 Assignment-3 Resources P
A short course on Julia and open-source software development
Advanced Scientific Computing: producing better code This course is taught as a 6-session "nanocourse" at Washington University in St. Louis. See the
Tutorial materials for Part of NSU Intro to Deep Learning with PyTorch.
Intro to Deep Learning Materials are part of North South University (NSU) Intro to Deep Learning with PyTorch workshop series. (Slides) Related materi
This is the course repository for the Spring 2022 iteration of MACS 30123 "Large-Scale Computing for the Social Sciences" at the University of Chicago.
Large-Scale Computing for the Social Sciences Spring 2022 - MACS 30123/MAPS 30123/PLSC 30123 Instructor Information TA Information TA Information Cour
Materials for upcoming beginner-friendly PyTorch course (work in progress).
Learn PyTorch for Deep Learning (work in progress) I'd like to learn PyTorch. So I'm going to use this repo to: Add what I've learned. Teach others in
A workshop on data visualization in Python with notebooks and exercises for following along.
Beyond the Basics: Data Visualization in Python The human brain excels at finding patterns in visual representations, which is why data visualizations
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
nvdiffrec Joint optimization of topology, materials and lighting from multi-view image observations as described in the paper Extracting Triangular 3D
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
Deep Vision and Graphics This repo supplements course "Deep Vision and Graphics" taught at YSDA @fall'21. The course is the successor of "Deep Learnin
Materials to reproduce our findings in our stories, "Amazon Puts Its Own 'Brands' First Above Better-Rated Products" and "When Amazon Takes the Buy Box, it Doesn’t Give it up"
Amazon Brands and Exclusives This repository contains code to reproduce the findings featured in our story "Amazon Puts Its Own 'Brands' First Above B
Workshop Materials Delivered on 28/02/2022
intro-to-cnn-p1 Repo for hosting workshop materials delivered on 28/02/2022 Questions you will answer in this workshop Learning Objectives What are co
Course materials for Fall 2021 "CIS6930 Topics in Computing for Data Science" at New College of Florida
Fall 2021 CIS6930 Topics in Computing for Data Science This repository hosts course materials used for a 13-week course "CIS6930 Topics in Computing f
A repo for materials relating to the tutorial of CS-332 NLP
CS-332-NLP A repo for materials relating to the tutorial of CS-332 NLP Contents Tutorial 1: Introduction Corpus Regular expression Tokenization Tutori
Course materials for a 3-day seminar "Machine Learning and NLP: Advances and Applications" at New College of Florida
Machine Learning and NLP: Advances and Applications This repository hosts the course materials used for a 3-day seminar "Machine Learning and NLP: Adv
Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties
Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties 8.11.2021 Andrij Vasylenko I
Materials for the Introduction in Python , Linux , Git and Github
This repository contains all the materials of the presentation on the introduction of python, linux, git and Github.
MSE5050/7050 Materials Informatics course at the University of Utah
MaterialsInformatics MSE5050/7050 Materials Informatics course at the University of Utah This github repo contains coursework content such as class sl
Materials for the AMS 2022 Student Conference Python Workshop.
AMS 2022 Student Conference Python Workshop Let's talk MetPy! Here you will find a collection of notebooks we will be demonstrating and working throug
Python scripts to interact with the CakeCMS API.
Python scripts to interact with the CakeCMS API. Installation of the python module Prerequisites The cakecms module has to be installed first. Install
CSPML (crystal structure prediction with machine learning-based element substitution)
CSPML (crystal structure prediction with machine learning-based element substitution) CSPML is a unique methodology for the crystal structure predicti
Orchestrating Distributed Materials Acceleration Platform Tutorial
Orchestrating Distributed Materials Acceleration Platform Tutorial This tutorial for orchestrating distributed materials acceleration platform was pre
Contains modeling practice materials and homework for the Computational Neuroscience course at Okinawa Institute of Science and Technology
A310 Computational Neuroscience - Okinawa Institute of Science and Technology, 2022 This repository contains modeling practice materials and homework
Colab notebook and additional materials for Python-driven analysis of redlining data in Philadelphia
RedliningExploration The Google Colaboratory file contained in this repository contains work inspired by a project on educational inequality in the Ph
Supplementary materials to "Spin-optomechanical quantum interface enabled by an ultrasmall mechanical and optical mode volume cavity" by H. Raniwala, S. Krastanov, M. Eichenfield, and D. R. Englund, 2022
Supplementary materials to "Spin-optomechanical quantum interface enabled by an ultrasmall mechanical and optical mode volume cavity" by H. Raniwala,
DANA paper supplementary materials
DANA Supplements This repository stores the data, results, and R scripts to generate these reuslts and figures for the corresponding paper Depth Norma
Blender Add-on to Add Metal Materials to Your Scene
Blender QMM (Quick Metal Materials) Blender Addon to Add Metal Materials to Your Scene Installation Download the latest ZIP from Releases. Usage This
Lab course materials for IEMBA 8/9 course "Coding and Artificial Intelligence"
IEMBA 8/9 - Coding and Artificial Intelligence Dear IEMBA 8/9 students, welcome to our IEMBA 8/9 elective course Coding and Artificial Intelligence, t
Course materials and handouts for #100DaysOfCode in Python course
#100DaysOfCode with Python course Course details page: talkpython.fm/100days Course Summary #100DaysOfCode in Python is your perfect companion to take
Blender Add-on that sets a Material's Base Color to one of Pantone's Colors of the Year
Blender PCOY (Pantone Color of the Year) MCMC (Mid-Century Modern Colors) HG71 (House & Garden Colors 1971) Blender Add-ons That Assign a Custom Color
Materials for my scikit-learn tutorial
Scikit-learn Tutorial Jake VanderPlas email: [email protected] twitter: @jakevdp github: jakevdp This repository contains notebooks and other files assoc
DL course co-developed by YSDA, HSE and Skoltech
Deep learning course This repo supplements Deep Learning course taught at YSDA and HSE @fall'21. For previous iteration visit the spring21 branch. Lec
Data and extra materials for the food safety publications classifier
Data and extra materials for the food safety publications classifier The subdirectories contain detailed descriptions of their contents in the README.
Python Deep Dive Course - Accompanying Materials
Python Deep Dive Various Jupyter notebooks and Python sources associated with my Udemy Python 3 Deep Dive course series: Part 1: Mainly functional pro
Public repository containing materials used for Feed Forward (FF) Neural Networks article.
Art041_NN_Feed_Forward Public repository containing materials used for Feed Forward (FF) Neural Networks article. -- Illustration of a very simple Fee
pyiron - an integrated development environment (IDE) for computational materials science.
pyiron pyiron - an integrated development environment (IDE) for computational materials science. It combines several tools in a common platform: Atomi
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2021)
Applied Machine Learning (Cornell CS5785, Fall 2021) This repo contains executable course notes and slides for the Applied ML course at Cornell and Co
Open-source library for analyzing the results produced by ABINIT
Package Continuous Integration Documentation About AbiPy is a python library to analyze the results produced by Abinit, an open-source program for the
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Zero to Mastery Machine Learning Welcome! This repository contains all of the code, notebooks, images and other materials related to the Zero to Maste
Simulate & classify transient absorption spectroscopy (TAS) spectral features for bulk semiconducting materials (Post-DFT)
PyTASER PyTASER is a Python (3.9+) library and set of command-line tools for classifying spectral features in bulk materials, post-DFT. The goal of th
Materials (slides, code, assignments) for the NYU class I teach on NLP and ML Systems (Master of Engineering).
FREE_7773 Repo containing material for the NYU class (Master of Engineering) I teach on NLP, ML Sys etc. For context on what the class is trying to ac
The aim is to contain multiple models for materials discovery under a common interface
Aviary The aviary contains: - roost, - wren, cgcnn. The aim is to contain multiple models for materials discovery under a common interface Environment
An SE(3)-invariant autoencoder for generating the periodic structure of materials
Crystal Diffusion Variational AutoEncoder This software implementes Crystal Diffusion Variational AutoEncoder (CDVAE), which generates the periodic st
These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations"
Few-shot-NLEs These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations". You can find the smal
Twin-deep neural network for semi-supervised learning of materials properties
Deep Semi-Supervised Teacher-Student Material Synthesizability Prediction Citation: Semi-supervised teacher-student deep neural network for materials
Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"
Fourier Feature Networks and Neural Volume Rendering This repository is a companion to a lecture given at the University of Cambridge Engineering Depa
Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.
LitMatter A template for rapid experimentation and scaling deep learning models on molecular and crystal graphs. How to use Clone this repository and
UF3: a python library for generating ultra-fast interatomic potentials
Ultra-Fast Force Fields (UF3) S. R. Xie, M. Rupp, and R. G. Hennig, "Ultra-fast interpretable machine-learning potentials", preprint arXiv:2110.00624
A Python package for performing pore network modeling of porous media
Overview of OpenPNM OpenPNM is a comprehensive framework for performing pore network simulations of porous materials. More Information For more detail
Lab Materials for MIT 6.S191: Introduction to Deep Learning
This repository contains all of the code and software labs for MIT 6.S191: Introduction to Deep Learning! All lecture slides and videos are available
A Scheil-Gulliver simulation tool using pycalphad.
scheil A Scheil-Gulliver simulation tool using pycalphad. import matplotlib.pyplot as plt from pycalphad import Database, variables as v from scheil i
Fitting thermodynamic models with pycalphad
ESPEI ESPEI, or Extensible Self-optimizing Phase Equilibria Infrastructure, is a tool for thermodynamic database development within the CALPHAD method
The materials used in the SaxonJS tutorial presented at Declarative Amsterdam, 2021
SaxonJS-Tutorial-2021, version 1.0.4 Last updated on 4 November, 2021. Table of contents Background Prerequisites Starting a web server Running a Java
DICexport is a GUI (PyQt5) to export digital image correlation videos
DIC Video Exporter DICexport is a GUI (PyQt5) to export digital image correlation videos. It offers the flexibility to choose a selected range of a vi
Contains supplementary materials for reproduce results in HMC divergence time estimation manuscript
Scalable Bayesian divergence time estimation with ratio transformations This repository contains the instructions and files to reproduce the analyses
Course Materials for Math 340
UBC Math 340 Materials This repository aims to be the one repository for which you can find everything you about Math 340. Lecture Notes Lecture Notes
This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.
TecoGAN This repository contains source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN for video super-resolution
PyChemia, Python Framework for Materials Discovery and Design
PyChemia, Python Framework for Materials Discovery and Design PyChemia is an open-source Python Library for materials structural search. The purpose o
Supplementary materials for ISMIR 2021 LBD paper "Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes"
Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes Supplementary materials for ISMIR 2021 LBD submission: K. N. W
Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)
Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)
This repo contains research materials released by members of the Google Brain team in Tokyo.
Brain Tokyo Workshop 🧠 🗼 This repo contains research materials released by members of the Google Brain team in Tokyo. Past Projects Weight Agnostic
Python library for generating CycloneDX SBOMs
Python Library for generating CycloneDX This CycloneDX module for Python can generate valid CycloneDX bill-of-material document containing an aggregat
Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).
Adaptive Segmentation Mask Attack This repository contains the implementation of the Adaptive Segmentation Mask Attack (ASMA), a targeted adversarial
This repository contains all the code and materials distributed in the 2021 Q-Programming Summer of Qode.
Q-Programming Summer of Qode This repository contains all the code and materials distributed in the Q-Programming Summer of Qode. If you want to creat
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Materials and information for my PyCascades 2021 Presentation
Materials and information for PyCascades 2021 Presentation: Sparking Creativity in LED Art with CircuitPython
An API serving data on all creatures, monsters, materials, equipment, and treasure in The Legend of Zelda: Breath of the Wild
Hyrule Compendium API An API serving data on all creatures, monsters, materials, equipment, and treasure in The Legend of Zelda: Breath of the Wild. B