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@rain-1
rain-1 / LLM.md
Last active April 11, 2024 04:19
LLM Introduction: Learn Language Models

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

@stefanproell
stefanproell / Dockerfile
Last active December 30, 2021 14:25
Run a Facebook Prophet Forecast in a Docker Container
# Run a python script using FB Prophet in a Docker container
# Build image: docker build -f Dockerfile-Debian -t forecast:R1 .
FROM python:3.4.6-wheezy
MAINTAINER Stefan Proell <stefan.proell@cropster.com>
RUN apt-get -y update && apt-get install -y \
python3-dev \
libpng-dev \
apt-utils \
@calkan
calkan / gist:eaad0bc4458da16a72dd
Last active January 5, 2021 02:09
Michael Hoffman's crazy bash_history backer upper on git
1 - Create a *private* GitHub/Bitbucket or similar git repo. Here I assume the repo is:
https://github.com/calkan/bash_history.git
2 - Create .history directory and initialize it for the repo:
mkdir $HOME/.history
cd $HOME/.history
git init
touch README.md
@Papierkorb
Papierkorb / ssl_hack.rb
Created June 10, 2015 16:46
SSL with Capybara and Selenium
# Hack for Capybara to use SSL connections using selenium.
#
### Usage:
# Require this from rails_helper.rb
#
### Steps to generate a SSL certificate on a Linux box:
# 0. Starting from 'Rails.root'
# 1. Generate private key. Type in some password.
# $ openssl genrsa -des3 -out private.key 4096
# 2. Generate certificate sign request
@gbuesing
gbuesing / ml-ruby.md
Last active February 28, 2024 15:13
Resources for Machine Learning in Ruby

UPDATE a fork of this gist has been used as a starting point for a community-maintained "awesome" list: machine-learning-with-ruby Please look here for the most up-to-date info!

Resources for Machine Learning in Ruby

Gems

@debasishg
debasishg / gist:8172796
Last active March 15, 2024 15:05
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&amp;rep=rep1&amp;t
def select2 text, options
page.find("#s2id_#{options[:from]} a").click
find(:xpath, "//body").find("input.select2-input").set(text)
page.execute_script(%|$("input.select2-input:visible").keyup();|)
find(:xpath, '//body').find('ul.select2-results li', text: text).click
end
@inertialbit
inertialbit / ansible-ubuntu-ruby-playbook.yml
Created January 21, 2013 18:10
installs rbenv via rbenv-installer, ruby matching $ruby_version and passenger + apache2 module to $user home and updates $user/.bash_profile w/ rbenv env vars
---
- name: install rb-installer
action: shell curl https://raw.github.com/fesplugas/rbenv-installer/master/bin/rbenv-installer | bash
- name: update PATH in ~/.bash_profile for rb-env
action: lineinfile dest=/home/$user/.bash_profile line=export\ PATH="$HOME/.rbenv/bin:$PATH" regexp=PATH.*rbenv
- name: add rb-env init to ~/.bash_profile
action: lineinfile dest=/home/$user/.bash_profile line='eval "$(rbenv init -)"' regexp=eval.*rbenv
@practicingruby
practicingruby / mrdi.md
Created December 19, 2012 22:29
Models, Roles, Decorators, and Interactions -- A modest proposal for a toned done version of DCI that isn't as janky as Concerns.

Models, Roles, Decorators, and Interactions

A modest alternative to DCI that might be worth further thought

One of the problems with advancing the discussion on DCI is that we lack a comparable alternative pattern that has the same goals, but favors a low ceremony approach. The closest thing we have to that is Rails concerns, but they are more like distant relatives of the DCI concepts rather than first cousins, and that makes comparisions between the two approaches not especially fruitful.

I am considering the idea of experimenting with my own paradigm that captures the intent and purity of DCI, but with the convenience of concerns. Please note that this is just the starting point of a conversation, it is NOT a promise of comercially available cold fusion or a cure for cancer. It's just a gist with an idea on it I'd like to hear your thoughts on.

What if we had a top-level topology that was split into Models, **Rol