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View streamlit_prodigy.py
"""
Example of a Streamlit app for an interactive Prodigy dataset viewer that also lets you
run simple training experiments for NER and text classification.
Requires the Prodigy annotation tool to be installed: https://prodi.gy
See here for details on Streamlit: https://streamlit.io.
"""
import streamlit as st
from prodigy.components.db import connect
from prodigy.models.ner import EntityRecognizer, merge_spans, guess_batch_size
View streamlit_prodigy.py
"""
Example of a Streamlit app for an interactive Prodigy dataset viewer that also lets you
run simple training experiments for NER and text classification.
Requires the Prodigy annotation tool to be installed: https://prodi.gy
See here for details on Streamlit: https://streamlit.io.
"""
import streamlit as st
from prodigy.components.db import connect
from prodigy.models.ner import EntityRecognizer, merge_spans, guess_batch_size
@silky
silky / Install
Created Oct 1, 2019 — forked from ines/Install
Streamlit + spaCy
View Install
pip install streamlit
pip install spacy
python -m spacy download en_core_web_sm
python -m spacy download en_core_web_md
python -m spacy download de_core_news_sm
@silky
silky / THLPE.hs
Created May 14, 2019 — forked from utdemir/THLPE.hs
Property Checking "The Hardest Logic Puzzle Ever"
View THLPE.hs
{-# LANGUAGE GeneralizedNewtypeDeriving #-}
{-# LANGUAGE LambdaCase #-}
{-# LANGUAGE MultiWayIf #-}
{-# LANGUAGE RecordWildCards #-}
module Game.THLPE
( THLPE ()
, GodAnswer (..)
, GodType (..)
, GodName (..)
@silky
silky / clean-up-boot-partition-ubuntu.md
Created Dec 22, 2018 — forked from ipbastola/clean-up-boot-partition-ubuntu.md
Safest way to clean up boot partition - Ubuntu 14.04LTS-x64, Ubuntu 16.04LTS-x64
View clean-up-boot-partition-ubuntu.md

Safest way to clean up boot partition - Ubuntu 14.04LTS-x64, Ubuntu 16.04LTS-x64

Reference

Case I: if /boot is not 100% full and apt is working

1. Check the current kernel version

$ uname -r 
@silky
silky / umap_sparse.py
Created Aug 22, 2018 — forked from johnhw/umap_sparse.py
1 million prime UMAP layout
View umap_sparse.py
### JHW 2018
import numpy as np
import umap
# This code from the excellent module at:
# https://stackoverflow.com/questions/4643647/fast-prime-factorization-module
import random
View Unsupervised.hs
#!/usr/bin/env stack
-- stack script --resolver lts-12.0
-- --package diagrams
-- --package diagrams-lib
-- --package diagrams-cairo
-- --package random
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE GADTs #-}
{-# LANGUAGE NoMonomorphismRestriction #-}
View Main.hs
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE GADTs #-}
{-# LANGUAGE NoMonomorphismRestriction #-}
{-# LANGUAGE ViewPatterns #-}
{-# LANGUAGE ScopedTypeVariables #-}
module Main where
import Diagrams.Prelude
import Diagrams.Backend.Cairo.CmdLine
@silky
silky / BumpSound.hs
Created Jun 21, 2018
Script to bump sound using `amixer` from `alsa-utils`
View BumpSound.hs
#!/usr/bin/env stack
-- stack script --resolver lts-8.12
-- --package turtle
-- --package string-conv
-- Compile like:
-- > stack exec --package turtle --package string-conv -- ghc --make BumpSound.hs
{-# LANGUAGE OverloadedStrings #-}
@silky
silky / spectre.c
Created Jan 4, 2018 — forked from ErikAugust/spectre.c
Spectre example code
View spectre.c
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#ifdef _MSC_VER
#include <intrin.h> /* for rdtscp and clflush */
#pragma optimize("gt",on)
#else
#include <x86intrin.h> /* for rdtscp and clflush */
#endif
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