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def vector_size_check(*vector_variables):
return a... | Edwith_Python4ML/assignment_basic_linear_algebra.ipynb |
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# + [markdown] id="view-in-github" c... | t81_558_class_12_01_ai_gym.ipynb |
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# # Handwritten
# %load_ext autoreload
# %autoreload 2
# %load... | examples/handwritten/handwritten.ipynb |
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# # Packages
# +
import numpy as np
import matplotlib... | debugging4.ipynb |
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import pandas as pd
from IPython.display import di... | notebooks/missing_harris_buttigieg.ipynb |
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import numpy as np
from matplotlib import pyplot a... | SRC/Practica2.ipynb |
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# + [markdown]... | Project_1B_ Project_Template.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # sMRI Q... | sMRI/5-sMRI_Quality_Control.ipynb |
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# ## Custom regression models
#
# Like for univariate... | docs/jupyter_notebooks/Custom Regression Models.ipynb |
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# # Apresentação
#
# O objetivo deste notebook é apres... | notebooks/fgv_assignments/individual/leandro-fgv-mba-trabalho-de-analise-preditiva-avancada.ipynb |
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# # EOSC 582 Assignment II (Petty, p128, 154, 168) - D... | EOSC_582/EOSC_582_Assignment_II_Petty_p128_p154_p168.ipynb |
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# ## The `Image` Mark
#
# `Image` is a `Mark` object, ... | examples/Marks/Object Model/Image.ipynb |
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# https://www.pythoncentral.io/how-to-create-a-pyt... | 14. Adv Python Packages/04. Importing module from a package.ipynb |
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from kafka import KafkaConsumer
import json
from influ... | notebooks/consumer.ipynb |
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import tensorflow as tf
... | notebooks/Alexnet_train.ipynb |
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# # PhysioNet/Computing in Cardiology Challenge 2020
#... | kardioml/models/deepecg/notebooks/5_hyper_parameter_tuning_test.ipynb |
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# ## Mosaicking
import os
from time import time
impor... | postprocess-avgs/other_fun_schitt/mosaicking.ipynb |
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# # IMDB
# %reload_ext autoreload
# %autoreload 2
# %... | nbs/dl1/lesson3-imdb.ipynb |
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# # Linear Regression with TensorFlow
#
# ## Steps:
# ... | TensorFlow/02_Linear_Regression.ipynb |
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# <img src='./img/jupyter_logo.png' align='right' widt... | functions.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | Deep Learning using Tensorflow Keras/MNIST-Fashion/fashion-mnist.ipynb |
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# ***
# ... | Learn-python/Part 1 - Introduction to Python/04-NumPy.ipynb |
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# # Data Definition Phase
#
# ### Build MemSQL Connect... | .ipynb_checkpoints/2017-18 NBA Season <> MemSQL Analytics-checkpoint.ipynb |
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class Car:
pass
class Car:
#Initializin... | Chapter01-Python_Overview_and_Main_Packages/.ipynb_checkpoints/Exercise1.1-checkpoint.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | Machine Learning/ML Projects/best-eda-using-pywedge-and-pandas-profiling (1).ipynb |
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# name: python37464bitanaconda3virtu... | Egen ETL Notebook.ipynb |
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import torch.nn as nn
import torch.optim as optim
... | ttq_densenet_small/Parse DenseNet small.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="Ae82cWy0FMb8" outputId="3cb5e57e-27d2-4cea-8c66-b5bef132bdd4"
# !wget http://dlib.net/... | detect_sleeping_for_image.ipynb |
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# ## Spectrum approximation experiment (Section 5.2)
#... | examples/experiment_spectrum.ipynb |
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# # Train with RAPIDS
#
# description: train with ... | notebooks/rapids/train-airlines.ipynb |
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# ## Instructions
#
# ### Roles
#
# - **Facilitator:**... | live_lectures/live-lecture-7.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | Face-Mask-Detection/face-mask-detection-using-cnn/face-mask-detection-using-cnn.ipynb |
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# + [markdown] id="uk9iuTbMcP3y" colab_type="text"
# # Desafio 1:
# + id="qi... | aula-03/Desafios_aula03.ipynb |
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# Copyright 2021 Google LLC
# Use of this source code is governed by an M... | notebooks/figures/chapter20_figures.ipynb |
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# <script async src="https://www.googletagmanager.com/... | Tutorial-ETK_thorn-WaveToyNRPy.ipynb |
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# # I have tested various regression models for car pr... | Regression models.ipynb |
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import numpy as np
import pandas as pd
import holoviews as hv
hv.extension('bokeh', 'matplotlib')
# In the [previous guide](3-Tabular_Dataset... | examples/sites/holoviews/examples/getting_started/4_Gridded_Datasets.ipynb |
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import numpy as np
import matplotlib.pyplot as pt
impo... | .ipynb_checkpoints/Digit Recognizer-checkpoint.ipynb |
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# # Time Series
#
# Based on:
#
# - https://onlinecour... | stationarity/stationarity.ipynb |
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import numpy as np
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import math
imp... | NSE Options.ipynb |
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import os
import numpy as np
import pandas as pd
i... | DataCollection.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | RSB.ipynb |
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# %reload_ext autoreload
# %autoreload 2
# %matplotlib inline
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import sys
sys.path.append("..")
from rosalind_tools.c... | notebooks/mortal_fibonacci_rabbits.ipynb |
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# Code for sort algorythims in sort_collection is copied from:... | benchmark and comparison/benchmark_comp.ipynb |
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import ... | notebooks/check solver no pml.ipynb |
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# # Scikit-learn introduction
#
# Scikit-learn is one... | notebooks/sklearn-intro.ipynb |
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import argparse
import math
from datetime import d... | Notebooks/3D_Diskriminator.ipynb |
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import uuid
import json
import random
import os
im... | notebooks/scrape-HH-by-keyword-kafka.ipynb |
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from pathlib import Path
import datetime
from movi... | notebooks/add_AOI_feature/02_add_feature_Execute_function_from_notebook.ipynb |
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import os
import gzip
import pickle
from collectio... | notebooks/preseason_prediction.ipynb |
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import csv
import json
compromised_users = []
wi... | Hacking the Fender.ipynb |
# -*- coding: utf-8 -*-
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# # I.1 Numbers
#
#
# Refe... | notebooks/Numbers.ipynb |
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10 == 20 / 2
10 != 10
10 != 15
100 > 50
100 ... | 11 - Introduction to Python/4_More on Operators/1_Comparison Operators (2:10)/Comparison Operators - Lecture_Py2.ipynb |
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# # End-To-End Example: Data Analysis of iSchool Class... | content/lessons/12/End-To-End-Example/In-Class-ETEE-Data-Analysis-Of-iSchool-Classes.ipynb |
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# <script async src="https://www.googletagmanager.com/... | Tutorial-Start_to_Finish-BSSNCurvilinear-Setting_up_TOV_initial_data.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="te9-dtQ_Rsqd" outputId=... | ATOMIC2020_GPT2.ipynb |
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i... | Power_Analysis_DOE/ost_ko_comparison.ipynb |
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# necessary packages #
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# # Welcome to the EXR Converter Demo!
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# \title{HP 34401 Controlled with Python via RS-232 wi... | HP34401ASansVISA.ipynb |
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# + [markdown] origin_pos=0
# # softmax回归的简洁实现
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# # Setup
# This starter code is inspired by
# https:... | StarterCode.ipynb |
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# # Filling Area on Line Plots
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# <!--BOOK_INFORMATION-->
# <img align="left" style="p... | present/bi2/2020/ubb/az_en_jupyter2_mappam/PythonDataScienceHandbook/05.08-Random-Forests.ipynb |
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# # Implementing Monroe's Fightin' Words metric
#
# Th... | notebooks/template_tokenization_6150.ipynb |
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# An introduction to open quantum systems
# =========... | content/ch-quantum-hardware/Open-quantum-systems.ipynb |
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# title: "Display Scientific Notation As Floats"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "How to display a number in scientific notation as a float."
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# + colab={"base_uri": "https://localhost:8080/"} id="ILrQGdyN08lj" outputId=... | ARJUN/TUNEX_CNN.ipynb |
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# ## Dependencies
# + _kg_hide-input=true
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# # <center> Анализ данных на Python </center>
#
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# # Node Embeddings and Skip Gram Examples
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#load all packages
import GEOparse
import pandas a... | .ipynb_checkpoints/mrabbani_kmeans_normalized-checkpoint.ipynb |
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# # Inverted Pendulum
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# Usar el simulador de Tello
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... | notebooks/driver/Drive_AllRegularOps.ipynb |