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Emmanuel Fuentes eifuentes

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g.set_titles("") #set title to blank
g.set(yticks=[]) #set y ticks to blank
g.despine(bottom=True, left=True) #remove 'spines'
@thomwolf
thomwolf / top-k-top-p.py
Last active May 14, 2024 00:20
Sample the next token from a probability distribution using top-k and/or nucleus (top-p) sampling
def top_k_top_p_filtering(logits, top_k=0, top_p=0.0, filter_value=-float('Inf')):
""" Filter a distribution of logits using top-k and/or nucleus (top-p) filtering
Args:
logits: logits distribution shape (vocabulary size)
top_k >0: keep only top k tokens with highest probability (top-k filtering).
top_p >0.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).
Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)
"""
assert logits.dim() == 1 # batch size 1 for now - could be updated for more but the code would be less clear
top_k = min(top_k, logits.size(-1)) # Safety check
@austoonz
austoonz / Simple-S3Bucket-SNS
Last active February 9, 2024 02:38
A CloudFormation template sample for creating an S3 Bucket with an SNS Trigger.
---
AWSTemplateFormatVersion: '2010-09-09'
Description: Simple S3 Bucket with SNS Trigger
Parameters:
BucketName:
Type: String
Description: The name of the S3 Bucket to create
@soumith
soumith / gist:01da3874bf014d8a8c53406c2b95d56b
Last active March 28, 2022 16:53
Install PillowSIMD+libjpeg-turbo on Conda
conda uninstall --force pillow -y
# install libjpeg-turbo to $HOME/turbojpeg
git clone https://github.com/libjpeg-turbo/libjpeg-turbo
pushd libjpeg-turbo
mkdir build
cd build
cmake .. -DCMAKE_INSTALL_PREFIX:PATH=$HOME/turbojpeg
make
make install
@joshbuchea
joshbuchea / semantic-commit-messages.md
Last active June 20, 2024 23:48
Semantic Commit Messages

Semantic Commit Messages

See how a minor change to your commit message style can make you a better programmer.

Format: <type>(<scope>): <subject>

<scope> is optional

Example

@kashif
kashif / cifar10_resnet.py
Last active February 3, 2021 09:06
Keras Pre-activation Residual Network for CIFAR-10
from __future__ import print_function
from keras.datasets import cifar10
from keras.layers import merge, Input
from keras.layers.convolutional import Convolution2D, ZeroPadding2D, AveragePooling2D
from keras.layers.core import Dense, Activation, Flatten
from keras.layers.normalization import BatchNormalization
from keras.models import Model
from keras.preprocessing.image import ImageDataGenerator
from keras.utils import np_utils
@nylki
nylki / char-rnn recipes.md
Last active March 16, 2024 15:13
char-rnn cooking recipes

do androids dream of cooking?

The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.

The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training. The ZIP is also archived @ archive.org in case the original links becomes invalid in the future.