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# # Exporting data from BigQuery to Google Cloud Stora... | courses/machine_learning/deepdive2/building_production_ml_systems/solutions/0_export_data_from_bq_to_gcs.ipynb |
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import numpy as np
import tensorflow as tf
# ### Load... | vows-generator.ipynb |
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# seaborn中的sns库可以画出很好看的图
# 试用sns.pairplot()画出基于 “iris”... | unit3/ch3.4 10-fold and LOO validation assignment.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | B_Submissions_Kopuru_competition/2021-06-09_submit FINAL/XGBoost_XGeirinhoost/workerbee05_HEX_XGyears_BASE_scaledX.ipynb |
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# > **Tip**: Welcome to the Investigate a Dataset proj... | Investigate_a_Dataset.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:eu-west... | ground_truth_object_detection_tutorial/object_detection_tutorial.ipynb |
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# # Coloring bars
#
# Demo of using color params for b... | examples/rebeccabilbro/barchart_colors.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | Chapter_5/Wilks-Aufgabe - 5.2 - Effective Length of paired data - 01-MAR-2021.ipynb |
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import tweepy
import json
import csv
from datetime imp... | data-extraction.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/merge/split_runtime.ipynb |
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# # WeatherPy
# -... | starter_code/WeatherPy.ipynb |
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from IPython.core.display import HTML
def css_styling(... | soln/01-Classes_basics.ipynb |
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# This is a notebook to explore opSim outputs ... | example/ExploringOpSimOutputs.ipynb |
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# # Dynamic Programming - Fibonacci
# ### Fibonacci... | Python/Dynamic_Programming_Fibonacci.ipynb |
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# # ``solarposition.py`` tutorial
#
# This tutorial ne... | docs/tutorials/solarposition.ipynb |
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# # Gendered perspectives on character.
#
import csv,... | genderedperspectives/gendered_perspectives.ipynb |
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# import required packages
from fastai2.tabular.all im... | .ipynb_checkpoints/04_fpl_predict_fastai2_tabular-checkpoint.ipynb |
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# # Plotting and Functions
# This notebook will work ... | 9-19-2019 - Lecture Notebook.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | PCA.ipynb |
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# # In-Class Coding Lab: Web Services and APIs
#
# ###... | content/lessons/11/Class-Coding-Lab/CCL-Web-Services-And-APIs.ipynb |
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# # T81-558: Applications of Deep Neural Ne... | t81_558_class_03_5_weights.ipynb |
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# +
import numpy as np
import numba
import matplotlib.... | models/vsc_phasor_model.ipynb |
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i... | code_dense_hmm/start_protein_experiment.ipynb |
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# # Imports
import sys
import os
import numpy as np
i... | covid-19/notebooks/1.3-exploratory_analysis_fancy_plot.ipynb |
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# # An analysis of imdb scores as it relates to TV Ser... | Python Data Analysis Project.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # O... | Gardenkiak/Programazioa/.ipynb_checkpoints/Oinarrizko datu sarrera eta irteera-checkpoint.ipynb |
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# + id="qdJKkQrye4H6" outputId="8723b5b3-583d-4b1e-cff5-9da3f251adc5" colab={... | Fake News/Notebooks/Fake_News_Results.ipynb |
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# # Python Flu... | Bloque 1 - Ramp-Up/05_Python/01_Flujos de control/01_Python flujos de control.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Data_Preparation_UCF101.ipynb |
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import os
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from glob import glob
i... | research/preference_score/preference_score.ipynb |
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# # DETECTING RBG PART IN AN IMAGE
# importing packag... | Image filters/detect_rgb.ipynb |
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# # Importing
from selenium import webdriver
from se... | Horse Race Data - Race time prediction/Step2_DataCleaning.ipynb |
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import tensorflow as tf
import matplotlib.pyplot a... | TensorflowTUT2/304_optimizer.ipynb |
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// # Inference with Tensorflow Lite
//
// In thi... | jupyter/tensorflow_lite/inference_with_tensorflow_lite.ipynb |
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# # Assignment2 Day6
import math
class cone():
de... | Assignment2D6.ipynb |
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# ### Constrained clustering with noisy constraints
#... | examples/constrained_clustering_with_noise.ipynb |
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# %load_ext autoreload
# %autoreload 2
import numpy a... | nn/dev_notebooks/dev_simple_mnist_network_vectorised_batches.ipynb |
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# # Parameter estimation of Lotka Volterra model u... | ParameterEstimation/LotkaVolterraParameterEstimation.ipynb |
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# ## Writing the Client Node
import rospy
from rospy_... | Notebooks/core_tutorials/Writing the Client Node in Python.ipynb |
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# # Voron... | Course02/Voronoi.ipynb |
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# ## Accessing MODIS snow data with the Pl... | datasets/modis/modis-snow-example.ipynb |
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# # Tushare
import tushare as ts
token = '<KEY>'
ts_... | Document/Notebook/tushare.ipynb |
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# # Partitioning a subset of Wikidata
#
# ... | examples/partition-wikidata.ipynb |
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# # Keras Callbacks and Functional API
# +
from tenso... | solutions_do_not_open/Lab_15_DL Keras Callbacks and Functional API_solution.ipynb |
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# %matplotlib inline
#
# # Time-frequency beamforming... | 0.17/_downloads/793e913bab4b20ad5f4863ca669c17f8/plot_tf_lcmv.ipynb |
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# *Python Machine Learning 3rd Edition* by [<NAME>](ht... | ch10/ch10.ipynb |
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# # MLP Test 1
#
# Exploração e resumo sobre **_Multi-Layer Perceptron_** com ... | ML/f00-sklearn_explore/03-mlp/01-test.ipynb |
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# import relevant libraries
import pandas as pd
import... | Weekly_Challenge/Predicting_crew_size.ipynb |
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# # Generative Adversarial Ne... | Notebook/GAN.ipynb |
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# # 一、锯齿波的傅里叶展开
# +
# inline 模式下，matplotlib 绘制的图会直接输出... | jupyter-notebook/digital singal processing/Fourier expansion.ipynb |
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# # Principal Component Analysis
#
# by <NAME> and <NA... | quantopian/lectures/PCA/notebook.ipynb |
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# ## Problem 4 - Batch Augmentation, Cuto... | Assignment3/question4.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/W1D4_MachineLearning/W1D4_Tutorial1.ipynb |
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# <a href="https://colab... | 4-Advanced-Deployment-Scenarios-with-TensorFlow/rest_simple.ipynb |
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# # multiplot tutorial
#
# Although the forthcoming in... | tutorial.ipynb |
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import matplotlib.pyplot as graph
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f... | deblurring_test/wiener_deblur_demo.ipynb |
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# # Reading Questions
#
# **Paper**: A synthetic oscil... | ode-modeling3.ipynb |
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# + [markdown] id="I-NZXBybeUFS"
# # Importing the Required Libraries
# + id... | CV_Project_Approach_2_Segmenting_Image.ipynb |
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# #### IMPORTING MODULES
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# Ignore the warnings
i... | Keras Tokenizer practice.ipynb |
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# Does it work on the KS? Let's check
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# General i... | notebooks/Bayes/.ipynb_checkpoints/KS-checkpoint.ipynb |
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# # Selecting chains, residues, and atoms
# This tutor... | 1-3D-visualization/3-Selection.ipynb |
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# %matplotlib inline
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# # Template Matching
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#
# We... | plot_template.ipynb |
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# # LSDDA: Hackathon #1
#
# ## Objective
# **Predict i... | hackathon-2017-Binary-Classification/Hackathon #1 - README.ipynb |
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# # 02 Huia Experience Training
# # Setup
# ## Insta... | 02_train/train_huia_poses_keras_tf2.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# ## 栈
# >... | DataStructure/stack.ipynb |
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# # Introduction to Python
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# ## [Functional Progra... | Notebooks/07_Functional_Programming.ipynb |
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# # GP Regression with LOVE for Fast Predictive Varian... | examples/02_Scalable_Exact_GPs/Simple_GP_Regression_With_LOVE_Fast_Variances_and_Sampling.ipynb |
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# # Neural Networks
# (example from sklearn and https... | teorico/demo_10_neural_networks.ipynb |
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# + [markdown] id="of3HGFCW2ii7"
# <a id='Q0'></a>
# <center><a target="_blan... | notebooks/W2D1_Breast_Cancer_Solution_Simplified.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
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# + [markdown] id="tTfbwGrz2P3J"
# # Download Images and Preprocess
# + id="... | scripts/CycleGAN_Download_Data.ipynb |
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# %load_ext autoreload
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# ## Let's make a LogisticRegression
#
# **Didn't work... | notebooks/deprecated/logistic_regression.ipynb |
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# # DAT210x - Programming with Python for DS
# ## Mod... | Module3/Module3 - Lab3.ipynb |
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# # 05. Install Chrome Extension(BQ Mate, Streak BigQu... | tutorials/02-Utils/05. Install_Chrome_Extension.ipynb |
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# # DAT210x - Programming with Python for DS
# ## Mod... | Module5/Module5 - Lab4.ipynb |
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# !pip install efficientnet -q
# !pip install iterativ... | train/hpa-image-model-training.ipynb |
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from pandas_... | old/note books/CAP2_wrangling_v1.ipynb |
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# Cleaning Quiz: Udacity's Course Catalog
# It's your ... | Pipelines/NLPpipelines/.ipynb_checkpoints/cleaning_practise-checkpoint.ipynb |
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import os
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i... | doc/sv_paper/imaging_everest.ipynb |
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# # What is CMS?
# <img src="images/cern_cms_endon.jp... | week-2/3-data-visualization/3. CMS Histgrams/A. CMS Experiment.ipynb |
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# # Catalyst example on table-data
# @DBusAI
# +
from... | examples/notebooks/table-data-tutorial.ipynb |
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# # Host Annotable web app as Bokeh server
#
# Make a ... | bokeh_server.ipynb |
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# # Ipywidgets based Dashboard
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# This notebook conta... | notebooks/demos/panel_prototype.ipynb |
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# ##### Example use of the hyperopt to see the sensiti... | Hyperapameter Sensitivity Analysis for Tuning (RF example)-Copy1.ipynb |
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# # Introduction To Markdown
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# Jupyter ... | 01 - Jupyter & Markdown/notebooks/01-Introduction to Markdown with Jupyter Notebook.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Activity #1: Basic Maps with cartopy
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# # Challenge PART 1 Get the Weather Description and A... | Weather_Database.ipynb |
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# Instagram AGDS - NumPy implementation
import numpy a... | instagram_analysis/archive/instagram_agds_numpy.ipynb |
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# # Basic Python Revision
# ### Assigment question's
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# # Using QAOA to solve a UD-MIS problem
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-- # 16. Reasoning about programs
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