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darkseed /
Created Nov 24, 2021 — forked from ChipCE/
Klipper bed mesh on print area only macro install guide

Klipper mesh on print area only install guide

What this macro do

  • This macro will dymanic change the bed_mesh area based on the size of the printed part. The fw will only probe on the area that the part will be printed (plus mesh_area_offset value)

Setup guide

  • (1) Add the following macrro to your printer config, this will replace the default BED_MESH_CALIBRATE command.
# coding=UTF-8
from __future__ import division
import nltk
import re
import requests
# Add your freebase key here
# If you don't have one, register at
darkseed /
Created Dec 5, 2017 — forked from windweller/
Bayesian Recurrent Neural Network Implementation
An implementation of the `Local reparameterization trick`
from Kingma & Wellings and
Bayesian RNN
from Fortunato, Blundell & Vinyals
import os
import time
import copy
from os.path import join as pjoin
darkseed / README.rst
Created Aug 15, 2017 — forked from HonzaKral/README.rst
CLI for elaasticsearch-py helpers
View README.rst

Elasticsearch CLI

Experimental CLI interface for the helpers in the `python library`_.

Main purpose is to expose the bulk functionality to enable rapid loading of data into an elasticsearch cluster. Combined with the scan command it can also be used to reindex data from elasticsearch into a different index or cluster.

darkseed / schools.stan
Created Aug 9, 2017 — forked from strongh/schools.stan
toy example of MCMC using (py)stan and (py)spark
View schools.stan
data {
int<lower=0> J; // number of schools
real y[J]; // estimated treatment effects
real<lower=0> sigma[J]; // s.e. of effect estimates
parameters {
real mu;
real<lower=0> tau;
real eta[J];
darkseed /
Created Apr 22, 2017 — forked from gourneau/
Make sprites of images using Python and PIL
# This work is licensed under the Creative Commons Attribution 3.0 United
# States License. To view a copy of this license, visit
# or send a letter to Creative
# Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA.
# from
# Orignial Author Oran Looney <>
/usr/bin/ruby -e "$(curl -fsSL"
brew update
brew install cmake
View SparkSQLJira.scala
package com.databricks.spark.jira
import org.apache.spark.rdd.RDD
import org.apache.spark.sql._
import org.apache.spark.sql.functions._
import org.apache.spark.sql.sources.{TableScan, BaseRelation, RelationProvider}
View gist:12f58e684768529b72d7d89f0440ea5e
import org.apache.hadoop.fs.{FileSystem, Path}
import org.apache.hadoop.conf.Configuration
case class S3File(path: String, isDir: Boolean, size: Long) {
def children = listFiles(path)
def listFiles(path: String): Seq[S3File] = {
val fs = FileSystem.get(new, new Configuration())
fs.listStatus(new Path(path)).map(s => S3File(s.getPath.toString, s.isDir, s.getLen))
class AC_Network():
def __init__(self,s_size,a_size,scope,trainer):
with tf.variable_scope(scope):
#Input and visual encoding layers
self.inputs = tf.placeholder(shape=[None,s_size],dtype=tf.float32)
self.imageIn = tf.reshape(self.inputs,shape=[-1,84,84,1])
self.conv1 = slim.conv2d(activation_fn=tf.nn.elu,
self.conv2 = slim.conv2d(activation_fn=tf.nn.elu,