Niranjan Anandkumar niranjanaryan

Public Datasets

Agriculture

U.S. Department of Agriculture's PLANTS Database
[U.S. Department of Agriculture's Nutrient

create a vm

root@main:~ # vm create -t debian -s 100G nixos
root@main:~ # vm iso /stuff/downloads/nixos-graphical-18.03.132192.ce0d9d638de-x86_64-linux.iso 
root@main:~ # vm -f install nixos nixos-graphical-18.03.132192.ce0d9d638de-x86_64-linux.iso

boot the image

determine the 'init' executable path from '(cd0)/isolinux/isolinux.cfg'. look for a line which start's with: 'APPEND init=/nix/store/.....'

How to migrate from Homebrew to Nix

#homebrew #brew #nix #nixos

I'll be honest with ya'll, you don't wanna get away from Homebrew completely, yes, I'll explain!

I've been using Nix package manager in all my MacOS machines about 3-4 months and I always kept Homebrew installed. You see, Nix is a very good package manager and with its home-manager, it becomes a good config farm as well. However, installing & managing GUI & unfree apps via Nix has been a quite painful experience for me. Sometimes, it wouldn't run properly, crash or wouldn't even start. Also, Nix doesn't have most of GUI packages that Homebrew has. Therefore, I keep homebrew and use it only for its "casks" registry to install GUI & unfree apps whereas having nix to manage dot file configurations and cli apps.

nylas/N1 💌 An extensible desktop mail app built on the modern web.
black-screen/black-screen A terminal emulator for the 21st century.
shockone/black-screen A terminal emulator for the 21st century.
ptmt/react-native-macos React Native for macOS
docker/kitematic Visual Docker Container Management on Mac & Windows
kitematic/kitematic Visual Docker Container Management on Mac & Windows
davezuko/wirk-starter Get started with React, Redux, and React-Router!
TelescopeJS/Telescope 🔭 An open-source social news app built with Meteor & React
coryhouse/react-slingshot React + Redux starter kit / boile

torchdiffeq vs Julia DiffEqFlux Neural ODE Training Benchmark

The spiral neural ODE was used as the training benchmark for both torchdiffeq (Python) and DiffEqFlux (Julia) which utilized the same architecture and 500 steps of ADAM. Both achived similar objective values at the end. Results:

DiffEqFlux defaults: 7.4 seconds
DiffEqFlux optimized: 2.7 seconds
torchdiffeq: 288.965871299999 seconds

	{ lib, ... }:
	{
	# Enable forwarding between all interfaces, restrictions between
	# individual links are enforced by firewalling.
	boot.kernel.sysctl = {
	"net.ipv6.conf.all.forwarding" = lib.mkForce 1;
	"net.ipv4.forward" = lib.mkForce 1;
	};

	systemd.network.config = {

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