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# # Building your first model in keras and get it read... | _notebooks/2020-10-13-keras-model-how-to-save-it.ipynb |
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# # heading
import numpy as np
import matplotlib.pypl... | math_jetpack/trigonometry.ipynb |
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import pandas as pd
from pandas._libs.tsli... | notebooks/3_trend_gen.ipynb |
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# + id="OQy6wb1TdpXH" colab_type="code" colab={}
# #!pip install datadotworld... | DzienTrzeciMatrix.ipynb |
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# + [markdown] id="VOsgCkustYcP"
# <a href="https://co... | Natural Language Processing Tensorflow/C3_W2_Lab_2_sarcasm_classifier.ipynb |
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# + [markdown] slideshow={"slide_type": "skip"}
# <tab... | 13_LA_eigen_2020.ipynb |
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# # Hello, Jupylet!
import sys
import os
sys.path.... | examples/02-hello-jupylet.ipynb |
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# ## NMF = Not Monday night Football !
import pandas ... | No_longer_crap.ipynb |
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import tensorflow as tf
from tensorflow import keras
... | ml/frame/tensorflow/keras.ipynb |
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# + [markdown] id="SMOq8mDwdHUm"
# # Funciones de dist... | notebooks/T2 - 2 - Data Cleaning - Funciones de distribución de probabilidad.ipynb |
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# <img src="../../../images/qiskit_header.png" alt="No... | qiskit-tutorials/13_advanced_circuit_visualization.ipynb |
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# +
import pandas as pd
import numpy as np
df = pd.re... | Chapter3/Knowledge Recommender.ipynb |
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# # DocTable Schemas
# Your database table col... | examples/doctable_schema.ipynb |
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# # Running a forward pass through LeNet using MNIST a... | examples/lenet_forward_pass.ipynb |
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# # Download TARGET P... | 0.expression-download/1B.download-target-data.ipynb |
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# # Last.FM Recommendation System - An Introduction to... | Recommendation_Systems/lastfm.ipynb |
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# <img src="images/logo.png" width="140" align="left">... | notebooks/Intro-to-tuples.ipynb |
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# + [markdown] heading_collapsed=true
# # LAD vs. Skl
... | LAD vs. skl cellselect +quad.ipynb |
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# Put these at the top of every notebook, to get autom... | courses/nik/VisualizeConvNet.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | dnn_demo.ipynb |
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# # Train
# ### Library setups and import... | thought-of-direction/train.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | Notebooks/AnaliseConciliacao.ipynb |
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# # Overview
#
# > The goal of this notebook is to sho... | vulcan_medication_bundle_getting_started.ipynb |
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#      
#    &... | ai/RAPIDS/English/Python/jupyter_notebook/Challenge/Gene-Expression-Classification/Challenge.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="V0cRyhp8YWl2" execution... | netpyne/tutorials/netpyne-course-2021/netpyne_batch_evol.ipynb |
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>>> # Find the Least Common Multiple of Two Divisors
>... | 01_Workshop-master/Chapter01/Activity04/Activity04.ipynb |
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import matplotlib.pyplot as plt
# + active=""
# iter:... | Week3-LM-Optimization/Plot_Lambda.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/06_DepthModel_ModelZoo.ipynb |
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# # Object Oriented Programming Concepts
#... | WEEK9/.ipynb_checkpoints/Week 9 - Object Oriented Programming Practice-checkpoint.ipynb |
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# # Kili Tutorial: AutoML for faster labeling with Kil... | recipes/automl_text_classification.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="-AOqpKzpMl_Z" execution... | analysis/constant_flowrate.ipynb |
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# # CoNSeP
import numpy as np
import matplotlib.pyplo... | ExploringInputFiles.ipynb |
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import re
import pandas as pd
df = pd.read_csv("../pe... | Data/Filtering.ipynb |
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# Environment Check -- Deactivate on a working host
im... | 9-MyJupyterNotebooks/10-NewtonsMethod/NewtonsMethod.ipynb |
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# # Feature Selection
#
# - 모델을 구성하는 주요 피처들을 선택
# ... | ml/sklearn/Feature selection.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Python for Data Science/Module2_PythonDataStructures.ipynb |
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#
# <a href="https://colab.research.google.com/github/... | content/_build/jupyter_execute/04_writing_our_own_container_types/exercise/questions.ipynb |
# +
# Plot resisudal from 1d linear regression
# Based on https://github.com/probml/pmtk3/blob/master/demos/linregResiduals.m
import numpy as np
import matplotlib.pyplot as plt
import os
try:
import probml_utils as pml
except ModuleNotFoundError:
# %pip install git+https://github.com/probml/probml-utils.git
... | notebooks/book1/01/linreg_residuals_plot.ipynb |
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import numpy as np
import birdwatcher as bw
from birdw... | notebooks/movementdetection.ipynb |
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# # Show, Don't Tell: Image Search
# *<NAME>*
#
# In t... | ImageSearch.ipynb |
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# %matplotlib inline
#
# # Utils
#
# Common utilities... | _downloads/84c3cca87362258f9c9281fcdcbd6837/gnn_utils.ipynb |
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# # At the start of this video
# 1. We were able to ... | Section 2/notebooks/2. 2 Using Locks with Threads.ipynb |
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# name: python385jvsc74a57bd038b4776f74ef7846326f679ebb3c9e296e2ab09fe7ffa3e73b... | site_projects.ipynb |
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# This is for reproducing Fig.3 in Rep. Prog. Phys. 76... | Sample1.ipynb |
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# + [markdown] id="qtgSE8mbSLmo"
# # Introduction to D... | 07_dl_basics_practiceA.ipynb |
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#This cell must always on the top of the Notebook!
# %... | notebook/rdp_notebook.ipynb |
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#23rd march
my_list=[1,2,3]
my_list=['string',100,23.2... | Python/List.ipynb |
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# # rio-tiler-mosaic custom pixel selection
#
# Exampl... | example/rio-tiler-mosaic-Custom.ipynb |
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'''
Initial code was copied from:
https://github.com/j... | 3d-pose-gan.ipynb |
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import sys
import os
import re
import gzip
# +
from i... | examples/code_Nudler_git_NET_get_map_files_from_fastq.ipynb |
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# +
import numpy as np
import p... | part2_feature.ipynb |
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# +
def amount(p0,rate,t,comps):
"""Returns the am... | Exercise05/Becoming_a_Millionaire.ipynb |
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# Working with Pandas DataFrames
# ===================... | book/1-pandas-dataframes-esol.ipynb |
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# # Кортежи (```tuple```)
#
# Помимо списков и словарей в Python реализовано ... | python_pd/03_collections/basic_collections/04_tuple.ipynb |
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# # Dabbling with Deep Learning, part I
#
# ### The MN... | lesson_1/dabbling_theano.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | python graphing/Python_Graphing.ipynb |
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# # Baseline Classification Model: Random Forest on In... | DigitalBiomarkers-HumanActivityRecognition/10_code/60_random_forests/62_rf_individual.ipynb |
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# Jupyter Notebooks
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# A noteboo... | 00_python/0_python.ipynb |
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im... | Stock_Price_Prediction_Capstone.ipynb |
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# # Striplog from CSV
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... | CSV2Striplog.ipynb |
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# + id="L4SdLmyrHVrx"
import pandas as pd
import numpy... | Amazon_Reviews.ipynb |
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# %pylab inline
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import matplotlib.p... | MarkerMagic.ipynb |
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# + [markdown] hideCode=false hidePrompt=false
# Co... | how-to-use-azureml/automated-machine-learning/forecasting-beer-remote/auto-ml-forecasting-beer-remote.ipynb |
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# **This notebook is an exercise in the [Python](https... | Kaggle Course/Course Codes/exercise-booleans-and-conditionals.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | PythonCodes/PlottingTools/ColormapTester.ipynb |
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import numpy as np
import pandas as pd
from matplotlib... | Image classification.ipynb |
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# + [markdown] deletable=true editable=true
# # Except... | 16 - Exceptions.ipynb |
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# <h1>Table of Contents<span class="tocSkip"></span></... | nbs/utils.utils.ipynb |
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# name: python37664bitbaseconda288461fb93b04d8... | notebooks/4_clustering_gan.ipynb |
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# + [markdown] toc=true
# <h1>Table of Con... | tutorials/tuto_loudness_zwtv.ipynb |
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# # Optimizer tweaks
# +
# %load_ext autoreload
# %au... | dev_course/dl2/09b_learner.ipynb |
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# # Time Series Analysis and Stationarity
import warn... | 09_time_series_models/01_tsa_and_stationarity.ipynb |
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# Let's discuss a few features of sorting ... | ClassExercises/Week2_Sorting/Sorting.ipynb |
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# %pylab inline
import warnings
warnings.filterwarning... | CNN training & evaluation - intestinal parasites.ipynb |
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# +
# Ignore sklearn future warning.
import warnings
warnings.f... | .ipynb_checkpoints/SentiCR_classification-checkpoint.ipynb |
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# check a given year is leap year or not, using ne... | 5Oct_HackerRank.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] slideshow={... | notebooks/06_plotting.ipynb |
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# + [markdown] id="LqiaKasFjH82" colab_type="text"
# # Custom derivative rule... | docs/notebooks/Custom_derivative_rules_for_Python_code.ipynb |
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# Author: <NAME>
#
# Date: 4/10/2018
#
# Version: 1.0
... | Wrangling-Data-Cleaning.ipynb |
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# # Uso básico de cuadernos Jupyter.
... | basico/Fundamentos de Python.ipynb |
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# ## AIF module demo
# ### Import modules
# + tags=[... | src/original/MJT_UoEdinburghUK/demo/demo_aif.ipynb |
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# + [markdown] id="SzKwuqYESWwm"
# ##### Copyright 2021 The Cirq Developers
... | docs/qcvv/xeb_theory.ipynb |
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import pandas as pd
df = pd.read_csv('ACS_16_5YR_B040... | more mapping/ancestry/Untitled.ipynb |
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# ### Summary ###
# This assignment uses deep learnin... | Summary.ipynb |
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# # Training on Cloud AI Platform
#
# **Learning Objec... | courses/machine_learning/deepdive/05_review/labs/5_train.ipynb |
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# # Sentiment Analysis
#
# ## Using XGBoost... | Sentiment Inference (XGB)/.ipynb_checkpoints/IMDB Sentiment Analysis - XGBoost-checkpoint.ipynb |
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import pandas as pd
dfs = []
dfs.append(["off", pd.rea... | data/vibration_test_2021Jul06/Data Exploration Vibration 2021-Jul-06.ipynb |
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# + [markdown] id="STZO0OMlBh8_"
# **Summary:**
#
# Th... | BERT-RACE.ipynb |
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# Libraries
# =======================... | notebooks/develop/skforecast_utils.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="O4O67-MytR_g" execution... | MathFunctionsLondonBikes.ipynb |
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import pandas as pd
import numpy as np
# %matplotlib ... | 8. decision_trees.ipynb |
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# # RR_LYRAE Dataset Analysis a... | RR_Lyare.ipynb |
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# # Python Strings
# [Datastics Lab](https://github.co... | book/_build/jupyter_execute/python/(J) Python Data Structures-I.ipynb |
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# Library imports
import scipy
import numpy as np
impo... | Project source codes/Python codes/.ipynb_checkpoints/RungeKutta4-checkpoint.ipynb |
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# %%capture
import os
import site
os.sys.path.inse... | notebooks/wavelet/BhNo8.ipynb |
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import requests as req
import pandas as pd
from config... | HousingSchools/Test/affortdablehousing.ipynb |
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# + id="bp3gVvgKqk2O" outputId="c3f70a81-ba21-41d2-84e3-2c7c95abbfa2" colab={... | Chapter1/Intro_to_DL_04.ipynb |
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from math import floor, ceil
import numpy as np
def ... | assignment_1/q1.ipynb |
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raw_... | notebooks/2_exploring_and_processing_data.ipynb |
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# <img src='https://www.icos-cp.eu/sites/default/files... | notebooks/icos_jupyter_notebooks/station_characterization.ipynb |