Yanwen Lin jasonyanwenl

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jasonyanwenl / example_design

Last active October 16, 2020 19:43

	def get_data(data_pack, data_request):
	'''
	Input: data_pack
	data_request: It contains the following:
	scope/context: the scope of the data, we want to return instances within this scope. meaningful scopes can often be sentences and documents
	pairs of target_type and encoding_schemes/converters: list of target type and encoding scheme/converter, each encoding scheme can be a class (I simply wrote the function below).
	Output: encoded data as tensors

	Example:
	data_request = [

jasonyanwenl / min-char-rnn.py

Created August 26, 2018 13:52 — forked from karpathy/min-char-rnn.py

Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy

	"""
	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)

jasonyanwenl / LDA

Created March 28, 2018 15:04

	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"<h2><center>Tutorial on Latent Dirichlet Allocation</center></h2>"
	]
	},
	{