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# # Population Density of Mexican States a... | notebooks/dev/Week6.ipynb |
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# + [markdown] tags=[]
# # Example: CanvasXpress histo... | tutorials/notebook/cx_site_chart_examples/histogram_2.ipynb |
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from PIL import Image
from numpy import *
from pylab i... | Chapter-7/CV Book Ch 7 Exercise 1.ipynb |
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# # Wine
# ### Introduction:
#
# This exercise is a a... | 10_Deleting/Wine/Exercises_code_and_solutions.ipynb |
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# # Data cleaning and merging
# ## We had a very larg... | charts/JeffMD.ipynb |
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import pickle
import pandas as pd
import xgboost as xg... | xgb_hk_commerical_eui_estimator_github.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # 03... | notebooks/03_Fundamentals.ipynb |
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# # RBM training $ L=100$ - Dataset with 29 different... | training_RBM/.ipynb_checkpoints/RBM_L100_train_dataset_V_complete-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | module2-random-forests/LS_DS_222_assignment.ipynb |
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# # Predict Wada Scores and compare with LI toolbox
#... | notebooks/15-mw-validation-with-wada.ipynb |
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# # Performance Analysis with Alphalens
# ## Imports ... | 24_alpha_factor_library/05_alphalens_analysis.ipynb |
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# + id="cdRFJhJrBgOK"
# !pip install dicom2nifti
# + id="X-tBTlI8BrEy"
impor... | NIfTI.ipynb |
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import numpy as np
import libpysal as ps
from mgwr.gwr... | notebooks/GWR_Georgia_example.ipynb |
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# # Exercise Sheet 02 (Connectionist Neurons and Multi... | ALT_Laura.ipynb |
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import pandas as pd
df = pd.read_csv("../data/COVID-1... | notebooks/.ipynb_checkpoints/Medical-checkpoint.ipynb |
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# + pycharm={"name": "#%%\n"}
# update pip and setupto... | lib_log_utils.ipynb |
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import numpy as np
import pandas as pd
import io
impor... | COVID-19-hospitalizados.ipynb |
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from functools import partial
import numpy as np
... | note/etc/Untitled.ipynb |
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# name: python37664bitbaseconda70fb04b0bd9543d... | Chapter8_Generative_deep_learning.ipynb |
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# # YOLOV3 training example
#
# +
from yolo import YO... | traning.ipynb |
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# A number of common questions come up about basic num... | Explore Summarized Data.ipynb |
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from bs4 import BeautifulSoup as bs
from splinter impo... | .ipynb_checkpoints/mission_to_mars-checkpoint.ipynb |
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# # This notebo... | bin/support/build_cafe_c2_atmos_climatology.ipynb |
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# # Task 4
#
# Find the lowest eigenvalue of the followin... | Task 4.ipynb |
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# Find substrates that could aleviate need for biotin
imp... | me_biomass/script_archive/find_media_to_alleviate_aux_m_model.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "height": 238} id="bQ74bhZV... | day-71-data-exploration-with-pandas-jupyter-notebook/Test-Colab.ipynb |
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# # Explainer on Hypothesis Testing and Bayesian Poste... | Explainer on Hypothesis Testing and Bayesian Posterior Inference.ipynb |
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# #! pip install -U dtale
#https://pypi.org/proje... | dtale2.ipynb |
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# # Make a chart
# Explore various ways to chart.
#
# ... | notebooks/2-demo-chart.ipynb |
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# # Driver Drowsiness Detection
# ## Impo... | Driver_Drowsiness_Detection/Driver_Drowsiness_Detection.ipynb |
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# import required libs
import glob
import os
impo... | notebooks/tfx_pipelines/guided_projects/guided_project_2_solution/model_analysis.ipynb |
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import geopandas
import numpy
... | notebooks/holes.ipynb |
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# OpenACC Directives Basics
# ========================... | labs/module3/README.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | face_authentication.ipynb |
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# # Full-Waveform Inversion (FWI)
#
# This notebook is... | 02a_fwi.ipynb |
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# + [markdown] id="rEyGlm50XE07"
# # || The Sparks Foundation || (GRIPJUNE21)... | Task3__Sparks_by_Shubh_Dholakiya.ipynb |
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# # Fundamentals of Python Variables And Numpy
# ## <N... | Week1_Fundamentals.ipynb |
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import sys
sys.path.append('../')
from picket.pre... | notebooks/Experiments-MicroBenchmark-TwoStream.ipynb |
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# # %load_ext autoreload
# # %autoreload 2
import ... | demos/event_03_21/prepare data.ipynb |
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# # Feature Representat... | docs/ipython_notebooks/feature_representation.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | ACE_fish script clean several files.ipynb |
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# <img src="http://hilpisch.com/tpq_logo.png" alt="The... | jupyter36/14_Web_Integration.ipynb |
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from utils.load import *
# /!\ pythreejs is a dep... | scripts/Example - sketch history with pythreejs.ipynb |
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from datetime import date, timedelta
from selenium... | data_analysis/.ipynb_checkpoints/custom scraper for weather-checkpoint.ipynb |
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# # ЛР №5
# # Решение систем нелинейных уравнений
... | term4/MNA/lab5.ipynb |
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# # Purpose
# The purpose of this notebook... | nn_scattering/eft_gp_jupyter/Create_h5_file_for_sms_chiral_potential.ipynb |
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# <center><img src="http://i.imgur.com/sSa... | introPython.ipynb |
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# + id="CCJNiN5klVtA"
# ! pip install -q kaggle
from google.colab import fil... | 2. VggNet/VGG_16_v1.ipynb |
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import datetime, time
import simpy
import pandas ... | notebooks/08 Parallel activity.ipynb |
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# # linear model to classify the MNIST data set
#
# In... | tutorials/mnist_linear_classifier.ipynb |
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"""
You can run either this notebook l... | tutorials/asr/Offline_ASR_with_VAD_for_CTC_models.ipynb |
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# modules we'll use
import pandas as pd... | Course_DataCleaning/course1.ipynb |
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# # Educational Attainment Distribution
#
# An explora... | notebooks/2019-01-23-educational-levels.ipynb |
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# # Extending your Metadata using Document... | tutorials/Tutorial16_Document_Classifier_at_Index_Time.ipynb |
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# # K 近邻算法
#
# + 如何选择 k 值？一般采用交叉验证 Cross Validation, C... | beauty_of_deep_learning/2-k-nearest-neighbor.ipynb |
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# # PyESAPI: Data Mining
# *By <EMAIL>*
import pyesap... | examples/DeveloperWorkshop2018/DataMining.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Create_model.ipynb |
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sys.path.append('/Users/laurenthericour... | notebooks/find_local_maxima.ipynb |
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data = '''household,dorm,appliance,energy_kWh
A,tu... | data-analysis/plotting by facets.ipynb |
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# + id="mafJxHKx20Np" colab_type="code" colab={"resources": {"http://localhos... | Long_Short-Term_Memory.ipynb |
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# <a href="https://colab... | RandomGroup_With_Python.ipynb |
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# #### prolegomena
# +
# --+----1----+----2----+----3... | nb/Moonlight2013.ipynb |
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# + id="9Uc0NS5r_la2"
#import libraries
import glob
from keras.models import ... | ipynb files/kidney_ml.ipynb |
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import gym
import numpy as np
import matplotlib as plt... | games_gymOpenAI/acrobot/.ipynb_checkpoints/Gym-acrobot-checkpoint.ipynb |
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# + [markdown] id="0b92bc6a-001" colab_type="text"
# #1. Install Dependencies... | colabs/dcm_to_bigquery.ipynb |
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# # Welcome to the first SimpleITK Notebook demo:
# # ... | 01_Image_Basics.ipynb |
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# <style>div.container { width: 100% }</style>
# <img style="float:left; vertical-align:text-bottom;" height="65" width="172" src="assets/PyV... | notebooks/09_Operations_and_Pipelines.ipynb |
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# # Mapboxgl Python Library for location data visualiz... | notebooks/point-viz-types-example.ipynb |
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# ### Fashion classification model
# +
# Version 1
# ... | fashion.ipynb |
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# <figure>
# <IMG SRC="https://upload.wikimedia.org/... | p7/ex17_Standardbibliothek.ipynb |
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# # Image Pyramiding
import cv2
from matplotlib impor... | ImagePyramids/image_pyramiding.ipynb |
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import argparse
import easydict
from utils.con... | .ipynb_checkpoints/Test_vgg16_lasso_stepdecay-checkpoint.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Playgr... | playground.ipynb |
# # Density test
# Here, we compare the two unmatched networks by treating each as an Erdos-Renyi network
# and simply compare their estimated densities.
# ## The Erdos-Renyi (ER) model
# The [**Erdos-Renyi (ER) model**
# ](https://en.wikipedia.org/wiki/Erd%C5%91s%E2%80%93R%C3%A9nyi_model)
# is one of the simplest net... | docs/er_unmatched_test.ipynb |
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# # ... | exploratory_code/3_dataset_exploration.ipynb |
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import os
import pandas as pd
import webbrowser
i... | CrimeDataAnalysis_Part_1.ipynb |
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# # Face Detection with OpenCv
# **Import library's**
impor... | face-detection.ipynb |
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# # Execution Plan
#
# In this notebook we try to unde... | pyspark-advanced/jupyter-execution/Execution Plan - Skeleton.ipynb |
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# + id="N96HymjLB_gR"
import json
# + id="lJzBIB4JNmHf"
fd =open("product_sa... | Inventory_Management_Product_Purchase.ipynb |
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# + language="bash"
#
# mkdir -p ../data/dataset1
# mk... | notebooks/Data Ingestion and mldatastore.ipynb |
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# ## Setup
# cd ..
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i... | math_expressions/MathExprModel.ipynb |
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# # Test version of the soil exercise NGEN16: simple d... | education/MSc_BSc/soil_exercise_ngen16/TestSoilT.ipynb |
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# + [markdown] id="Sz3j5dlzYWEM" colab_type="text"
# #... | tutorial/305_cliquecover_en.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | AoC2021/AoC_13.ipynb |
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tu... | Tarea Tuplas, Listas, Diccionarios.ipynb |
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// ## FillHoles Op
// +
//load ImageJ
/... | notebooks/1-Using-ImageJ/Ops/morphology/fillHoles.ipynb |
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num_user = 943
num_movie = 168... | MovieLens.ipynb |
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# default_exp example_mining.unsupervised.traceabi... | nbs/examples/examples_3.2_mining.unsupervised.traceability.approach.cisco.ipynb |
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# # Talks ... | markdown_generator/talks.ipynb |
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# + [markdown] id="cedf868076a2"
# ##### Copyright 2020 The Cirq Developers
... | docs/tutorials/educators/neutral_atom.ipynb |
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# # Exploring the voicing of two repeated roman numera... | content/post/repeatedharmonies/.ipynb_checkpoints/index-checkpoint.ipynb |
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# # Preprocessing
# 1. For individual observers, entri... | 0p. Preprocessing - combines observers and extracts estimates.ipynb |