karpathy

"""
stable diffusion dreaming
creates hypnotic moving videos by smoothly walking randomly through the sample space

example way to run this script:

$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry

to stitch together the images, e.g.:
$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4

ih2502mk

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

Beneboe

How to Setup Verified Commits

Quick guide on how to setup git signing. Information is aggregated from following sources:

• https://help.github.com/articles/signing-commits/
• https://help.github.com/articles/telling-git-about-your-signing-key/
• https://help.github.com/articles/generating-a-new-gpg-key/

LMescheder

rh314

# Python version of: https://gist.github.com/davidbarber/16708b9135f13c9599f754f4010a0284
# as per blog post: https://davidbarber.github.io/blog/2017/04/03/variational-optimisation/
# also see https://www.reddit.com/r/MachineLearning/comments/63dhfc/r_evolutionary_optimization_as_a_variational/

from __future__ import print_function

import matplotlib
matplotlib.use('Agg')

robcarver17

# Gist example of IB wrapper ...
#
# Download API from http://interactivebrokers.github.io/#
#
# Install python API code /IBJts/source/pythonclient $ python3 setup.py install
#
# Note: The test cases, and the documentation refer to a python package called IBApi,
#    but the actual package is called ibapi. Go figure.
#
# Get the latest version of the gateway:

batzner

import sys, getopt

import tensorflow as tf

usage_str = 'python tensorflow_rename_variables.py --checkpoint_dir=path/to/dir/ ' \
            '--replace_from=substr --replace_to=substr --add_prefix=abc --dry_run'


def rename(checkpoint_dir, replace_from, replace_to, add_prefix, dry_run):
    checkpoint = tf.train.get_checkpoint_state(checkpoint_dir)

fhuszar

artsobolev

Note: I'm updating this gist as I encounter new reviews, so make sure you're reading the latest revision!

Just as the previous year I collected (and keep doing so) links to various summaries and takeaways from this year's NIPS.

• NIPS 2016 Symposium on People and machines: Public views on machine learning, and what this means for machine learning researchers. (Notes and panel discussion) by /u/gcr
• NIPS 2016 summary, wrap up, and links to slides by /u/beamsearch
• Post NIPS Reflections by Neil Lawrence
• [Some general take aways from #NIPS2016](https://medium.com/@IgorCarron/some-general-take-aways-from-ni

awjuliani