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# + colab={"base_uri": "https://localhost:8080/", "hei... | Project_Alibaba_workload/E50_Alibaba_cluster_predict_compare/Train_20000/COV+GRU+GRU+D+D+E50/.ipynb_checkpoints/COV+GRU+GRU+D+D+E50-checkpoint.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | 02_body/chapter2/images/Calcul_force_optique/.ipynb_checkpoints/Calcul optical force-checkpoint.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | 10_adv_problems/10f_image_captioning.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'><img sr... | practical_ai/archive/06-Classical-Q-Learning/02-Q-Learning-Exercise.ipynb |
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# Load the "autoreload" extension
# %loa... | notebooks/02-Train.ipynb |
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# + [markdown] extensions={"jupyter_dashboards": {"ver... | Notebooks/MagneticPrismApplet.ipynb |
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from keras.applications.inception_v3 import InceptionV... | Transfer learning.ipynb |
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import pandas as pd
import matplotlib.pyplot as pl... | Melekhin/0_Exploratory_Data_Analysis.ipynb |
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# # Section 1. Business understanding
#
# The three bu... | Seattle AirBNB analysis.ipynb |
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# # Exercício
#
# O dataset utilizado neste execício é... | notebooks/Pandas/Pandas - Exercicio.ipynb |
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# # Tutorial
# The `AtUproot` class is the user inter... | binder/tutorial.ipynb |
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# # Distributed Image Processing in the Cloud
# ## L... | 2_Easy_Cloud_Scaling.ipynb |
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# # Modeling and Simulation in Python
#
# Chapter 7
#
... | code/chap07.ipynb |
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# %matplotlib inline
from matplotlib import py... | AI3.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | module1-statistics-probability-and-inference/Arturo_Obregon_LS_DS_131_Statistics_Probability_Assignment.ipynb |
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# # Kivy指南-2-画图app
#
# > 仿照Windows自带的画图程序做一个画图app，除了支持... | _notebooks/2019-03-01-kivy-ch2-paint-app.ipynb |
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# Videocvičení naleznete zde: https://youtu.be/yL-A0N5... | CV2/cv2_obrazky_reseni.ipynb |
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# In this and following section 6 notebooks. I want to... | 6-1_Model-Tracking-and-Database-Creation.ipynb |
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def hyphen_range(s):
""" Takes a range in form of ... | Code_FractBias/iPythonFractBias/.ipynb_checkpoints/Metadata scratch pad-checkpoint.ipynb |
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from geoscilabs.dcip.DC_cylinder import cylinder_app
f... | notebooks/dcip/DC_Cylinder_2D.ipynb |
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# Originally I wanted to adapt a model for predicting ... | _drafts/modeling-the-nhl/.ipynb_checkpoints/Modeling the NHL (copy)-checkpoint.ipynb |
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# # Gradient Boosted Trees Regression Example.
from _... | testing/jaak-it_demo/practical_learning/Untitled.ipynb |
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import os
import warnings
os.environ['CUDA_VISIBL... | pretrained-model/speech-enhancement/testset-speech-enhancement.ipynb |
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# + [markdown] id="3Lph_OFxMtmR" colab_type="text"
# L... | module3/LS_DS_223_assignment.ipynb |
# -*- coding: utf-8 -*-
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# # EGM
# This notebook c... | .ipynb_checkpoints/EGM-checkpoint.ipynb |
# -*- coding: utf-8 -*-
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# ## 2.1 Juliaの基本
# ### 2... | julia2-1.ipynb |
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# <div class="alert alert-success" data-title="">
# ... | code/Day05/Day05_06_basic deep learning with fashion mnist.ipynb |
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# + id="bYhP8HMTZDSk" colab_type="code" colab={"autoexec": {"startup": false,... | Pre- and Post-Processing/pipeline.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="... | demo/MNIST.ipynb |
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# # Histogram collections
#
# **WARNING**: Experimenta... | doc/Collections.ipynb |
# This cell is mandatory in all Dymos documentation notebooks.
missing_packages = []
try:
import openmdao.api as om
except ImportError:
if 'google.colab' in str(get_ipython()):
# !python -m pip install openmdao[notebooks]
else:
missing_packages.append('openmdao')
try:
import dymos as dm
... | docs/dymos_book/examples/water_rocket/water_rocket.ipynb |
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# # Setup, matplotlib inline, automatically reload lib... | 3.5 - RF - PNU Repeated Random Subsampling Random Search.ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | 6. Medals.ipynb |
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import pandas as pd
import scanpy as sc
sc.set_figure_... | preprocessing/lincs.ipynb |
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# # PROBLEMAS DIVERSOS
# <h3>1.</h3>
# Realizar una f... | Modulo2/Ejercicios/Problemas Diversos.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 2_de_diciembre.ipynb |
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# Top level imports and logging config
import log... | notebooks/boxing_example.ipynb |
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# # Predicting th... | final_report.ipynb |
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import sqlite3
import pandas as pd
import matplotl... | SQLite3_ELLY.ipynb |
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# ### Data Wrangling
# - Data Munging / Data Pre-proce... | allspice-arrays-code/Week_01/Data_Wrangling.ipynb |
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include("PVCR.jl");
# ## Residential Consumers
# ... | ICE_Module5a_utility_impact_current_scheme.ipynb |
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# # STRING BITS
#... | mk022-string_bits.ipynb |
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import itertools
import warnings
from time import ... | src/exploration/janos_simulation_notebook.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | UNIX_CL_Progate/UNIX_Command_Line_Progate_(Complete)_Notes.ipynb |
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# # NumPy Arrays
#
# python objects:
#
# ### 1 .high-... | PreRequsites/numpy/.ipynb_checkpoints/NumpyStack-checkpoint.ipynb |
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# Python Club for Physicists
# # Python básico para f... | Notebooks/Ejercicios/Ejercicios.ipynb |
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import cv2
import numpy as np
import os
import cv2... | src/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = ''
imp... | speech-to-text/wav2vec-pytorch.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # R... | nbplain/01_numpy.ipynb |
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# # Statistics
#
# The [astropy.stats](http://docs.ast... | 12-statistics.ipynb |
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# # Process eigenvalues and eigenvectors
# The title o... | notebooks/ID.01.explore_eigenvectors.ipynb |
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# ## Build Models To Compare Features: Cleaned Origina... | ML - Applied Machine Learning - Feature Engineering/06.Compare and Evaluate Models/02.Build Model - Cleaned Original Features.ipynb |
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# imports
from pathlib import Path
imp... | notebooks/ESO/ESO evaluation.ipynb |
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# This is an implementation of NIPS 2017 paper, titled... | play/revisedcode-roughWork.ipynb |
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# ### Dropout with L2 Weight Regularization
import nu... | Assignments/Assignment_2/Q1/q1_Arch4_MNIST.ipynb |
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import numpy as np
import pandas as pd
import matp... | ch10/03-ransac-regressor.ipynb |
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# <a href="https://colab... | PreSumm.ipynb |
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import scipy.cluster.hierarchy as shc
from sklearn.pr... | notebooks/cluster/hierarchical_cluster.ipynb |
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# # Convertendo EDF para Parquet... | notebooks/01_edf_to_parquet.ipynb |
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# # Named Entities in the BHSA
#
# For prelimanaries, ... | tutorial/cookbook/namedEntity.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # L... | lectures/L7.ipynb |
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# # Implementing and comparing several pitch detection... | pitch_detection_from_samples.ipynb |
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# # Data Analysis Tools
# # Assignment: Genera... | PearsonCorrelation.ipynb |
# -*- coding: utf-8 -*-
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# <font color=red>Thi... | marlowe-cli/lectures/03-marlowe-cli-abstract.ipynb |
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# ## Accessing NEX-GDDP-CMIP6 data with th... | datasets/nasa-nex-gddp-cmip6/nasa-nex-gddp-cmip6-example.ipynb |
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# %matplotlib inline
#
# # Prediction Latency
#
#
# T... | scikit-learn-official-examples/applications/plot_prediction_latency.ipynb |
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# + active=""
# 说明：
# 给你一个数组 nums ，它包含 n 个正整数。你需要计... | Array/1026/1508. Range Sum of Sorted Subarray Sums.ipynb |
# -*- coding: utf-8 -*-
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# ---... | 0002/julia vs. gcc - 2021-06-06 harmonic number.ipynb |
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# # Benchmark
# **Introduction:**
# Using the data ga... | pumpit/PumpIt-01.ipynb |
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from bs4 import BeautifulSoup
import urllib.request
fr... | data/baseball_scrape.ipynb |
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# + [markdown] id="t2hGCplrTxqd"
# # ANOMALY DETECTION... | Anomaly_detection.ipynb |
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# # Stationarity and detrending (ADF/KPSS)... | examples/notebooks/stationarity_detrending_adf_kpss.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
# ## Deep L... | Term_1/Project_2_Traffic_Sign_Classification/Traffic_Sign_Classifier_FINAL_submission.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # B... | examples/4. Promoters Transcriptional Regulation and Gene Regulatory Networks.ipynb |
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# + [markdown] toc="true"
# # Table of Contents
# <p>... | notebooks/demo.ipynb |
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# # Bases de connaissance : interroger Wik... | module1/s2_sparql.ipynb |
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# +
import pprint
import numpy
import toyplot.mp4
x ... | notebooks/text-animation.ipynb |
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# # Basic Classifier using InferDotNet
# ... | notebooks/iris-bayes-point-classifier.ipynb |
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# Dependencies:
# pip: scikit-learn, anndata, scan... | script.ipynb |
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# #!/usr/bin/env python3
# -*- coding: ut... | sklearn_basics/sklearn.model_selection.train_test_split_test.ipynb |
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# ## Non-massaction propensities in BioCRNpyler
# The ... | examples/Non-Massaction Propensities.ipynb |
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# # Do-sampler Introduction
# by <NAME>
#
# The "do-sampler... | docs/source/example_notebooks/do_sampler_demo.ipynb |
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import os
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# # Gridded Datasets
import xarray as xr
import numpy as np
import holoviews as hv
hv.extension('matplotlib')
# %opts Scatter3D [size_index=N... | examples/user_guide/08-Gridded_Datasets.ipynb |
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# # LBA: Probability and Simulation
#
# ## Analysis
#
... | CS51_LBA (2).ipynb |
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# + [markdown] deletable=true editable=true
# # PyRadi... | notebooks/RadiomicsExample.ipynb |
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# # 作業 : (Kaggle)鐵達尼生存預測
# # [作業目標]
# - 試著完成三種不同特徵類型的... | homeworks/D018/Day_018_HW.ipynb |
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# + id="bTwRw3xNX5cj" colab_type="code" colab={}
import tensorflow as tf
# +... | 04-deep-learning/02-rnn-lstm/Text_Classification_LSTM_emotions.ipynb |
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# + ... | notebooks/ScratchPad/TFIDF_VMD_Hyptertune-2.ipynb |
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# # ***Introduction to Radar Using Python and MATLAB**... | jupyter/Chapter08/lfm_train_ambiguity.ipynb |
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import pandas as pd
from unidecode import unidecode
im... | 4.1_review_texts/review_filmes.ipynb |
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# # Notebook without solutions
#
# The idea is with the... | tests/base/ipynb/solutions.ipynb |
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# Importing the Keras libraries and packages
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# #!/usr/bin/python
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# # Python Language Basics, IPython, and Jupyter Noteb... | ch02.ipynb |
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# # Pandas series
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# + [markdown] colab_type="text" id="K2s1A9eLRPEj"
# ##### Copyright 2018 The... | site/en/r2/tutorials/text/image_captioning.ipynb |