apaszke

import sys
from collections import OrderedDict

PY2 = sys.version_info[0] == 2
_internal_attrs = {'_backend', '_parameters', '_buffers', '_backward_hooks', '_forward_hooks', '_forward_pre_hooks', '_modules'}


class Scope(object):
    def __init__(self):
        self._modules = OrderedDict()

willprice

Install OpenCV 4.1.2 on Raspbian Buster

$ chmod +x *.sh
$ ./download-opencv.sh
$ ./install-deps.sh
$ ./build-opencv.sh
$ cd ~/opencv/opencv-4.1.2/build
$ sudo make install

ayulockin

lukas

word_to_id = imdb.get_word_index()
word_to_id = {k: (v+3) for k, v in word_to_id.items()}
id_to_word = {value: key for key, value in word_to_id.items()}
id_to_word[0] = ""  # Padding
id_to_word[1] = ""  # Start token
id_to_word[2] = "�"  # Unknown
id_to_word[3] = ""  # End token


def decode(word):

YashasSamaga

DISCLAIMER

This gist is unofficial. It was created for personal use but have kept it public in case it would be of use to others. This document is not updated regularly and may not reflect the current status of the CUDA backend.

SamuelMarks

Google Cloud configuration

First: install the CLI program for your distribution: https://cloud.google.com/sdk/install

Parameters

Modify accordingly:

export REGION='us-central1'
export ZONE='us-central1-f'
export PROJECT_NAME='proj'

fclesio

def get_classification_report(y_test, y_pred):
    '''Source: https://stackoverflow.com/questions/39662398/scikit-learn-output-metrics-classification-report-into-csv-tab-delimited-format'''
    from sklearn import metrics
    report = metrics.classification_report(y_test, y_pred, output_dict=True)
    df_classification_report = pd.DataFrame(report).transpose()
    df_classification_report = df_classification_report.sort_values(by=['f1-score'], ascending=False)
    return df_classification_report

borisdayma

To be posted in: https://forums.fast.ai/c/fastai-users/fastai-v2/

Title: Proposed workflow to compare & monitor models using WandbCallback

Content:

Hi,

I’ve been working on WandbCallback for the past few months (with a lot of help from @sgugger) and I'm very excited to show how it works!

ariG23498

aravindsrinivas

import functools
import numpy as np
import tensorflow.compat.v1 as tf
from tensorflow.python.tpu import tpu_function


BATCH_NORM_DECAY = 0.9
BATCH_NORM_EPSILON = 1e-5