This is the general instructions for how to get a pebble watch to talk to an ESP8266 and turn NeoPixels different colours.
Video: https://www.youtube.com/watch?v=BeIQ47WBVXs
- Pebble watch
- ESP8266 ESP-01
#!/usr/bin/env python | |
doc = """ | |
Quickly estimates insert sizes of read datasets, given some sequence(s) they can be mapped to. | |
Author: Rayan Chikhi | |
short usage: <reference> <*.fastq> | |
example: | |
estimate-insert-sizes contigs.fa readsA_1.fq readsA_2.fq readsB_1.fq readsB_2.fq |
This is the general instructions for how to get a pebble watch to talk to an ESP8266 and turn NeoPixels different colours.
Video: https://www.youtube.com/watch?v=BeIQ47WBVXs
{ | |
"metadata": { | |
"id": "f9a628d3-8a70-4d0c-b564-ba408224c32a", | |
"date": "1434393769046", | |
"type": "protocol", | |
"author": {}, | |
"tags": [ | |
"sequence", | |
"snp", | |
"pcr", |
""" | |
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) |
This tutorial demonstrates how to use Google Apps Script to:
Create copies of the Google Sheet in the desired destination folder automatically at set intervals.
Append the time stamp with each backup file's name.
Adjust time trigger for backing up every day/hour/minute.
// This is an example modules to demonstrate how to process large | |
// numbers of files in Reflow, as outlined here: | |
// | |
// https://github.com/grailbio/reflow/issues/22 | |
// First, we define a number of parameters that provide the input | |
// and output data locations as well as the location of the reference | |
// we'd like to use. | |
param ( |
# Near Simplest Language model API, with room to expand! | |
# runs GPT-J-6B on 3090 and TITAN and servers it using FastAPI | |
# change "seq" (which is the context size) to adjust footprint | |
# | |
# seq vram usage | |
# 512 14.7G | |
# 900 15.3G | |
# uses FastAPI, so install that | |
# https://fastapi.tiangolo.com/tutorial/ |