This is inspired by A half-hour to learn Rust and Zig in 30 minutes.
Your first Go program as a classical "Hello World" is pretty simple:
First we create a workspace for our project:
Misha Brukman mbrukman
raysan5
/ custom_game_engines_small_study.md
Last active
May 4, 2024 23:05
A small state-of-the-art study on custom engines
A couple of weeks ago I played (and finished) A Plague Tale, a game by Asobo Studio. I was really captivated by the game, not only by the beautiful graphics but also by the story and the locations in the game. I decided to investigate a bit about the game tech and I was surprised to see it was developed with a custom engine by a relatively small studio. I know there are some companies using custom engines but it's very difficult to find a detailed market study with that kind of information curated and updated. So this article.
Nowadays lots of companies choose engines like Unreal or Unity for their games (or that's what lot of people think) because d
Queeniebee
/ Machine_Learning_Articles_Tutorials_for_Non-ML_Scientists.md
Created
April 10, 2016 20:06
List of Machine and Deep Learning Articles Tutorials that Non-ML and/or Non-CS Scientists Can Understand
List of Machine and Deep Learning Articles and Tutorials that Non-Machine Learning and/or Non-Computer Scientists Can Understand
This is a list of articles and tutorials I find helpful for gaining a cursory understanding of machine and deep learning.
Thank you to the many scientists who are sharing their research!
karpathy
/ min-char-rnn.py
Last active
May 6, 2024 16:42
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
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| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |
paulmillr
/ active.md
Last active
April 23, 2024 17:32
Most active GitHub users (by contributions). http://twitter.com/paulmillr
Most active GitHub users (git.io/top)
The count of contributions (summary of Pull Requests, opened issues and commits) to public repos at GitHub.com from Wed, 21 Sep 2022 till Thu, 21 Sep 2023.
Only first 1000 GitHub users according to the count of followers are taken. This is because of limitations of GitHub search. Sorting algo in pseudocode:
githubUsers
.filter(user => user.followers > 1000)