Nidhal Selmi Nydhal

Rust in Large Organizations

Initially taken by Niko Matsakis and lightly edited by Ryan Levick

Agenda

Introductions
Cargo inside large build systems
FFI
Foundations and financial support

Useful Data Science Newsletters and Podcasts

Code

https://gist.github.com/victor-shepardson/5b3d3087dc2b4817b9bffdb8e87a57c4

Setup

I'm using Ubuntu 16.04 with a GTX 1060

install CUDA

A non-exhaustive list of WebGL and WebGPU frameworks and libraries. It is mostly for learning purposes as some of the libraries listed are wip/outdated/not maintained anymore.

Engines and libraries ⚙️

Name	Stars	Last Commit	Description
three.js	![GitH

Awesome Knowledge Graph Embedding Approaches

This list contains repositories of libraries and approaches for knowledge graph embeddings, which are vector representations of entities and relations in a multi-relational directed labelled graph. Licensed under CC0.

Libraries

🆕 AmpliGraph (4 algorithms) @ https://github.com/Accenture/AmpliGraph
Embedding framework (5 algorithms) @ https://github.com/BookmanHan/Embedding

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.

Effective Engineer - Notes

By Edmond Lau
Highly Recommended 👍
http://www.theeffectiveengineer.com/

	The Host line can contain multiple strings (and wildcard matches).

	With this config:

	Host deeplearn-v100 ec2-XXX-XXX-XXX-XXX.us-west-2.compute.amazonaws.com
	HostName ec2-XXX-XXX-XXX-XXX.us-west-2.compute.amazonaws.com
	User ubuntu
	IdentityFile ~/.ssh/aws-key.pem
	IdentitiesOnly yes
	ForwardAgent yes

	import numpy as np
	from numpy.linalg import matrix_power
	from matplotlib import pyplot as plt
	import seaborn as sns

	SIZE = 100
	M = np.zeros((SIZE, SIZE))

	# encoding rolls of die
	for y in xrange(SIZE):

	"""
	Dynamic Routing Between Capsules
	https://arxiv.org/abs/1710.09829
	"""

	import torch
	import torch.nn as nn
	import torch.optim as optim
	import torch.nn.functional as F
	import torchvision.transforms as transforms

	library(tidyverse)
	library(gganimate)

	NUMPLAYERS = 45
	ROUNDS = 5000
	INITWEALTH = 45

	#initialize the bank
	#columns wealths of the NUMPLAYERS players
	#rows show wealths of each of the ROUNDS ticks of the clocks