Ranjandas

apt:
  sources:
    hashicorp:
      keyid: 798AEC654E5C15428C8E42EEAA16FCBCA621E701 # fingerprint of https://apt.releases.hashicorp.com/gpg to fetch from Ubuntu Keyserver
      source: "deb [signed-by=$KEY_FILE] https://apt.releases.hashicorp.com $RELEASE main"
    docker:
      keyid: 9DC858229FC7DD38854AE2D88D81803C0EBFCD88
      source: "deb [signed-by=$KEY_FILE] https://download.docker.com/linux/ubuntu $RELEASE stable"
package_update: true
packages:

regner

<?xml version='1.0' ?>

<!--
    Why is this one giant script instead of a bunch of smaller scripts?
    Mostly this comes down to BuildGraph and personal preference. As the language BuildGraph isn't
    really much of a programming language there is no easy way to use an IDE and jump between
    includes, find usages of variables, and just generally quickly search things. It was found to
    be easier to have a single large file that a developer can quickly jump up and down in when
    trying to understand what the BuildGraph script is doing.

lifan0127

import os
os.environ['OPENAI_API_KEY'] = '<Your OpenAI API Key>'

# See here on how to find your Zotero info: https://github.com/urschrei/pyzotero#quickstart
ZOTERO_USER_ID = '<Your Zotero User ID>'
ZOTERO_API_KEY = '<Your Zotero API Key>'
ZOTERO_COLLECTION_ID = '<Your Zotero Collection ID>'

question = 'What predictive models are used in materials discovery?'
# The following prompt instruction is injected to limit the number of keywords per query

rsms

struct WorldGrid {
  static const size_t vertexDataStride = 6;

  wgpu::Buffer            _indexBuffer;
  wgpu::BindGroup         _bindGroup;
  wgpu::DepthStencilState _depthStencil;
  wgpu::RenderPipeline    _pipeline;

  WorldGrid() {
    _depthStencil.format = wgpu::TextureFormat::Depth24PlusStencil8;

jjrv

Copyright (c) 2020- Juha Järvi

Permission to use, copy, modify, and/or distribute this software for any
purpose with or without fee is hereby granted.

THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR

ctreffs

PBR Resources

• Rendering Physically-Based ModelIO Materials
• Physically Based Rendering in Filament
• Simplified PBR Shading Model for Unreal
• OpenGL - PBR (video) & OpenGL - PBR - LearnOpenGL & Source Code + Demos
• Moving Frostbite to PBR Slides SLIDES PAPER
• https://lousodrome.net/blog/light/2020/01/04/physically-based-rendering-references-at-the-end-of-2019/
• https://graphicrants.blogspot.com/2013/08/specular-brdf-reference.html

zachlewis

import PyOpenColorIO as ocio
import numpy as np
import colour as colour
from six import string_types

__version__ = "2020.11.08.0"



OUTPUT = "/tmp/test_config.ocio2"

jedypod

/*
Nuke blinkscript implementation of a simple image Transform operator.
Demonstrates pixel filter interpolation algorithms.

The following pixel filters are implemented:
0 - Blackman-Harris : Similar to cubic, but better performance in high frequencies
1 - Lanczos4 : 2x2 lanczos windowed sinc function
2 - Lanczos6 : 3x3 lanczos windowed sinc function
3 - Cubic : (Bicubic interpolation) - a=0.0, b=0.0
4 - Mitchell : (Bicubic interpolation) - a=1/3, b=1/3

mikhailov-work

# Copyright 2019 Google LLC.
# SPDX-License-Identifier: Apache-2.0

# Author: Anton Mikhailov

turbo_colormap_data = [[0.18995,0.07176,0.23217],[0.19483,0.08339,0.26149],[0.19956,0.09498,0.29024],[0.20415,0.10652,0.31844],[0.20860,0.11802,0.34607],[0.21291,0.12947,0.37314],[0.21708,0.14087,0.39964],[0.22111,0.15223,0.42558],[0.22500,0.16354,0.45096],[0.22875,0.17481,0.47578],[0.23236,0.18603,0.50004],[0.23582,0.19720,0.52373],[0.23915,0.20833,0.54686],[0.24234,0.21941,0.56942],[0.24539,0.23044,0.59142],[0.24830,0.24143,0.61286],[0.25107,0.25237,0.63374],[0.25369,0.26327,0.65406],[0.25618,0.27412,0.67381],[0.25853,0.28492,0.69300],[0.26074,0.29568,0.71162],[0.26280,0.30639,0.72968],[0.26473,0.31706,0.74718],[0.26652,0.32768,0.76412],[0.26816,0.33825,0.78050],[0.26967,0.34878,0.79631],[0.27103,0.35926,0.81156],[0.27226,0.36970,0.82624],[0.27334,0.38008,0.84037],[0.27429,0.39043,0.85393],[0.27509,0.40072,0.86692],[0.27576,0.41097,0.87936],[0.27628,0.42118,0.89123],[0.27667,0.43134,0.90254],[0.27691,0.44145,0.913

eddex

How to install CUDA 10.1 on Ubuntu 18.04

A clean installation of Ubuntu 18.04.02 LTS was used.

This gist is an extension to the official docs, adding missing parts and instructions.

2 pre-install actions

follow the pre-installation actions on: