Emrys-Hong / TabNineExample.toml

Created July 20, 2020 08:39 — forked from rlisowski/TabNineExample.toml

TabNineExample.toml

	[language.rust]
	command = "rls"
	install = [
	["rustup", "update"],
	["rustup", "component", "add", "rls", "rust-analysis", "rust-src"],
	]

	[language.javascript]
	command = "flow"
	args = ["lsp"]

Emrys-Hong / mysql_cheat_sheet.md

Last active September 26, 2019 13:03 — forked from bradtraversy/mysql_cheat_sheet.md

MySQL Cheat Sheet

Help with SQL commands to interact with a MySQL database

MySQL Locations

Add mysql to your PATH

Emrys-Hong / setup.sh

Created September 12, 2019 08:21

setup all my environments

	cd
	mkdir Github && cd Github
	git clone https://github.com/Emrys-Hong/dotfiles .dotfiles
	cd .dotfiles && bash setup.sh

Emrys-Hong / code-server-setup.sh

Last active September 12, 2019 08:19

code server setup

	echo "Installing code-server"
	cd
	mkdir code-server
	release=(copy paste the lastest release here)
	wget -qO- $release \| tar xvz --strip-components=1 -C ~/code-server
	echo "alias 'code'='~/code-server/code-server'" >> .bashrc
	echo "You need to 'source ~/.bashrc' now!"
	echo "Successful installed code server"

Emrys-Hong / search_hparams.py

Created August 18, 2019 09:27

automatically search hparameters for you, it comes with config.py

	"""Peform hyperparemeters search"""

	import argparse
	import os
	from subprocess import check_call
	import sys
	from multiprocessing import Process
	import utils
	import torch

Emrys-Hong / config.py

Created August 18, 2019 09:16

A base config file when doing machine learning and tuning parameters

	import argparse
	import json
	import os
	from pathlib import Path
	import torch

	class NetworkConfig:
	def __init__(self, experiment_id, mainfolder):
	## Checkpoint
	self.id = experiment_id

Emrys-Hong / callbacks_args.py

Created August 9, 2019 15:40

how to use argparse.ArgumentParser() callbacks

Emrys-Hong / benepar-constituent-parser.py

Created August 9, 2019 13:08

syntactic parse tree parser

	import nltk
	nltk.download('punkt')

	import benepar
	benepar.download('benepar_en2')

	import benepar
	parser = benepar.Parser("benepar_en2")
	tree = parser.parse("Short cuts make long delays.")
	print(tree)

Emrys-Hong / elmo-embeddings.py

Created August 7, 2019 08:50

elmo embedding script

	from allennlp.modules.elmo import Elmo, batch_to_ids

	options_file = "https://allennlp.s3.amazonaws.com/models/elmo/2x4096_512_2048cnn_2xhighway/elmo_2x4096_512_2048cnn_2xhighway_options.json"
	weight_file = "https://allennlp.s3.amazonaws.com/models/elmo/2x4096_512_2048cnn_2xhighway/elmo_2x4096_512_2048cnn_2xhighway_weights.hdf5"

	# Compute two different representation for each token.
	# Each representation is a linear weighted combination for the
	# 3 layers in ELMo (i.e., charcnn, the outputs of the two BiLSTM))
	elmo = Elmo(options_file, weight_file, 2, dropout=0)

Emrys-Hong / tensorboardX-demo.py

Created August 6, 2019 07:15

a basic use method of how to use tensorboardX -- a pytorch visualization tool

	import torch
	import torchvision.utils as vutils
	import numpy as np
	import torchvision.models as models
	from torchvision import datasets
	from tensorboardX import SummaryWriter

	resnet18 = models.resnet18(False)
	writer = SummaryWriter()
	sample_rate = 44100