Skip to content
#

artificial-intelligence

ai logo

The branch of computer science dealing with the reproduction, or mimicking of human-level intelligence, self-awareness, knowledge, conscience, and thought in computer programs.

Here are 4,840 public repositories matching this topic...

lightning
SkeletalDemise
SkeletalDemise commented Sep 21, 2020

Hey Hackers of this spoopy month! 👻
Welcome to the Ciphey repo(s)!
This issue requires you to add a decoder.

This wiki section walks you through EVERYTHING you need to know, and we've added some more links at the bottom of this issue to detail more about the decoder.
https://github.com/Ciphey/Ciphey/wiki#adding-your-own-crackers--decoders

https://www.dcode.fr/t9-cipher
https://en.wikipe

enhancement good first issue feature_request hacktoberfest
EZFRICA
EZFRICA commented Jul 1, 2022

Is there an existing integration?

  • I have searched the existing integrations.

Use Case

This will allow to host the software on a serverless and stateless service. This will facilitate scaling because no critical data will be on the disk of the system running the application.

Motivation

Allow users to save resources and money.

Implementation

No response

Anything e

enhancement help wanted good first issue integration

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

  • Updated Jul 6, 2022
  • Python

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

  • Updated Jul 1, 2022
  • Python
benemer
benemer commented Jun 18, 2021

Hi,

In kaolin/kaolin/metrics/pointcloud.py it says that the sided_distance() method computes

For every point in p1 find the indices and euclidean distances of the closest point in p2.

However, it seems like the underlying _C.metrics.sided_distance_forward_cuda returns the squared euclidean distance. Can you please clarify this?

Thank you

documentation good first issue question