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@tokestermw
tokestermw / tf_ed_vi_tutorial.py
Last active July 19, 2019 01:18
Variational inference and Bayesian deep learning tutorial (w/ uncertainty intervals) using TensorFlow and Edward.
""" Some description.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import json
import tqdm
@peterroelants
peterroelants / mnist_estimator.py
Last active February 14, 2024 11:26
Example using TensorFlow Estimator, Experiment & Dataset on MNIST data.
"""Script to illustrate usage of tf.estimator.Estimator in TF v1.3"""
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data as mnist_data
from tensorflow.contrib import slim
from tensorflow.contrib.learn import ModeKeys
from tensorflow.contrib.learn import learn_runner
# Show debugging output
@AnatomicJC
AnatomicJC / android-backup-apk-and-datas.md
Last active April 29, 2025 18:04
Backup android app, data included, no root needed, with adb

Backup android app, data included, no root needed, with adb

Note: This gist may be outdated, thanks to all contributors in comments.

adb is the Android CLI tool with which you can interact with your android device, from your PC

You must enable developer mode (tap 7 times on the build version in parameters) and install adb on your PC.

Don't hesitate to read comments, there is useful tips, thanks guys for this !

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@karpathy
karpathy / stablediffusionwalk.py
Last active April 23, 2025 10:26
hacky stablediffusion code for generating videos
"""
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
@adrienbrault
adrienbrault / llama2-mac-gpu.sh
Last active April 8, 2025 13:49
Run Llama-2-13B-chat locally on your M1/M2 Mac with GPU inference. Uses 10GB RAM. UPDATE: see https://twitter.com/simonw/status/1691495807319674880?s=20
# Clone llama.cpp
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
# Build it
make clean
LLAMA_METAL=1 make
# Download model
export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin