djhocking

one <- seq(1:10)
two <- rnorm(10)
three <- runif(10, 1, 2)
four <- -10:-1

df <- data.frame(one, two, three)
df2 <- data.frame(one, two, three, four)

str(df)

robertsdionne

#!/usr/bin/env bash

# Assuming OS X Yosemite 10.10.4

# Install XCode and command line tools
# See https://itunes.apple.com/us/app/xcode/id497799835?mt=12#
# See https://developer.apple.com/library/mac/documentation/Darwin/Reference/ManPages/man1/xcode-select.1.html
xcode-select --install

fonnesbeck

Horizons in Probabilistic Programming and Bayesian Analysis

Representations:

• Hierarchical models
• Hidden Markov models
• Graphical models
• Non-parametric Bayes (distributions over functions)

Inference Approaches:

TomAugspurger

genekogan

Instructions for making a Neural-Style movie

The following instructions are for creating your own animations using the style transfer technique described by Gatys, Ecker, and Bethge, and implemented by Justin Johnson. To see an example of such an animation, see this video of Alice in Wonderland re-styled by 17 paintings.

Setting up the environment

The easiest way to set up the environment is to simply load Samim's a pre-built Terminal.com snap or use another cloud service like Amazon EC2. Unfortunately the g2.2xlarge GPU instances cost $0.99 per hour, and depending on parameters selected, it may take 10-15 minutes to produce a 512px-wide image, so it can cost $2-3 to generate 1 sec of video at 12fps.

If you do load the

dave-andersen

import tensorflow as tf
import numpy as np
import time

N=10000
K=4
MAX_ITERS = 1000

start = time.time()

cjw85

"""
Reimplementation of nanonet using keras.

Follow the instructions at
https://www.tensorflow.org/install/install_linux
to setup an NVIDIA GPU with CUDA8.0 and cuDNN v5.1.

virtualenv venv --python=python3
. venv/bin/activate
pip install numpy

sbalnojan

import s3fs
import pickle
import json
import numpy as np

BUCKET_NAME = "my-bucket"

# definitions, keras/tf/... imports...

if __name__ == "__main__":

AK391

# launch your own Gradio Web Demo of Arcane style transfer by following the steps below
# open a jupyter notebook, code editor (vs code etc), or google colab
# pip install gradio
# copy the code below into a file or cell in a python notebook and run it
# that's it, a web demo will appear in your python notebook or web browser
# github: https://github.com/jjeamin/anime_style_transfer_pytorch
# HF blog: https://huggingface.co/blog/gradio-spaces

import gradio as gr