Peter Roelants peterroelants

Train

python qlearn.py

Test

Generate figures

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

	from transformers import AutoTokenizer, T5ForConditionalGeneration

	# Model Init
	n_gpu = 8
	tokenizer = AutoTokenizer.from_pretrained("google/flan-ul2")
	model = T5ForConditionalGeneration.from_pretrained("google/flan-ul2")
	heads_per_gpu = len(model.encoder.block) // n_gpu
	device_map = {
	gpu: list(
	range(

	""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
	import numpy as np
	import cPickle as pickle
	import gym

	# hyperparameters
	H = 200 # number of hidden layer neurons
	batch_size = 10 # every how many episodes to do a param update?
	learning_rate = 1e-4
	gamma = 0.99 # discount factor for reward

	"""
	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)

	"""
	A deep neural network with or w/o dropout in one file.

	License: Do What The Fuck You Want to Public License http://www.wtfpl.net/
	"""

	import numpy, theano, sys, math
	from theano import tensor as T
	from theano import shared
	from theano.tensor.shared_randomstreams import RandomStreams

	#!/bin/bash

	# Pylearn2 setup script for Amazon Linux AMI with NVIDIA GRID GPU Driver.
	# http://goo.gl/3KeXXW

	# not tested

	sudo yum update -y
	sudo yum install -y emacs tmux python-pip
	sudo yum install -y python-devel git blas-devel lapack-devel

	# (C) Kyle Kastner, June 2014
	# License: BSD 3 clause

	import scipy.stats as st
	import numpy as np

	class gmmhmm:
	#This class converted with modifications from https://code.google.com/p/hmm-speech-recognition/source/browse/Word.m
	def __init__(self, n_states):
	self.n_states = n_states