50-50 Beamsplitter
Optical devices used to split a single beam of laser light into two beams, or to recombine two beams into one.
{
"cols": 4,
"rows": 3,
"cells": [
{
--- | |
title: "Metal bands bring happiness" | |
output: html_notebook | |
author: "Piotr Migdał" | |
--- | |
```{r} | |
library(ggplot2) | |
library(ggrepel) | |
``` |
# Homebrew - the package manager | |
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" | |
eval "$(/opt/homebrew/bin/brew shellenv)" | |
# Rosetta - for running apps not native to M1 arm64 | |
/usr/sbin/softwareupdate --install-rosetta --agree-to-license | |
# Terminal improvement | |
brew install fish | |
sudo sh -c 'echo /opt/homebrew/bin/fish >> /etc/shells' |
language: node_js | |
node_js: node | |
before_script: | |
- npm install -g typescript | |
- npm install codecov -g | |
script: | |
- yarn lint | |
- yarn build |
export {} | |
declare global { | |
namespace jest { | |
interface Matchers<R> { | |
myMatcher: (received: string) => R | |
} | |
} | |
} |
Optical devices used to split a single beam of laser light into two beams, or to recombine two beams into one.
{
"cols": 4,
"rows": 3,
"cells": [
{
#!/usr/bin/env python | |
import delve | |
import logging | |
import torch | |
import torch.nn as nn | |
from delve import CheckLayerSat | |
from torch.autograd import Variable | |
from tqdm import tqdm, trange |
FROM jupyter/scipy-notebook | |
# Install Tensorflow and PyTorch | |
RUN conda install --quiet --yes \ | |
'tensorflow=1.3*' \ | |
'keras=2.0*' \ | |
'pytorch=0.3' \ | |
'torchvision' && \ | |
conda clean -tipsy && \ | |
fix-permissions $CONDA_DIR |