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import pandas as pd
import numpy as np
import matp... | day01/otto/models/sample_solution_otto_comp.ipynb |
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# # Data over a magnetic dipole
#
# In this notebook, ... | Data_over_mag_dipole.ipynb |
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import torch
import matplotlib.pyplot as plt
impor... | Alexnet_test.ipynb |
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# hash: b5a57bdf4f60dd5fdfdbcf1f... | scripts_nbs/bsb_designs.ipynb |
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import requests
import json
import random
import strin... | DataCiteAPI-DOIs-from-CSV-Using-DefinedSuffix-Public.ipynb |
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# ## Defaults
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import folium
m = folium.Map(worl... | examples/ContinuousWorld.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | SQL_Mini_Project_Moringa_School.ipynb |
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# <a href="https://colab... | SVM_RUL_Prediction.ipynb |
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# %matplotlib inline
#
# Finetuning Torchvision Model... | .ipynb_checkpoints/10_finetuning_torchvision_models_tutorial-checkpoint.ipynb |
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import os, sys
import time
import torch
import tor... | Old_Codes_For_Exploration/ModelAnalysis/VGG/VGG16_mask10_class1.ipynb |
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# # Classification models applied to the market.
# #... | notebooks/study_relevant_companies/notebooks/Classification_ModelingAPI.ipynb |
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# # A Simple Tutorial For using QCAD
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from Modules... | Tutorial.ipynb |
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# + [markdown] id="XVJXkWBn8yOQ"
# # Vector Fields
# We can denote a vector f... | _notebooks/2021-01-01-Vector-Fields.ipynb |
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# # 03b_overlap_cluster-tx_pwenrich_tx
#
# calculated ... | revisions/03b_overlap_cluster-tx_pwenrich_tx.ipynb |
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# Taller Presencial --- Manejo de datos con Pandas
# =... | notebooks/ciencia_de_los_datos/taller_presencial-pandas.ipynb |
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# + id="e9VXlUnnwvFH"
# importing libraries
import sys
import numpy as np
#... | LAB-9/058_09.ipynb |
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import numpy as np
import pandas as pd
import ast
# L... | notebooks/frontend_ques_dataset_preprocessing.ipynb |
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# + code_folding=[]
subject_name = 'Andrea'
from sank... | preprocessing_subjects/Andrea.ipynb |
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import matplotlib.pyplot as pl... | data/FinalReport.ipynb |
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# %matplotlib inline
import matplotlib.pylab as plt
im... | xray2.ipynb |
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# + id="gx3BBVDxavOF" colab_type="code" colab={"base_uri": "https://localhost... | day5.ipynb |
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# name: python37764bitvenvcovidappvenvdec448b7499a496b82740a... | notebooks/Middleware.ipynb |
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from keras.preprocessing.image import img_to_array... | tests/downsample.ipynb |
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# # Ch `11`: Concept `02`
#
# ## Embedding Lookup
# I... | ch11_seq2seq/Concept02_embedding_lookup.ipynb |
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# 网络文献标题抓取器
# Written by yecy
# 2021-01-20 ver 2.... | .ipynb_checkpoints/article_grabber-checkpoint.ipynb |
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# ---... | M1 Python For Data Science/Week_3_Python_For_Data_Science_Data_Visulization_With_Python/PDS_UberDriveProject_Question.ipynb |
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# ## DeepEx... | examples/mnist_tensorflow.ipynb |
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from vpython import *
scene.width = scene.height = ... | Demos/MousePicking.ipynb |
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from IPython.core.display import HTML
import d3_lib
H... | Untitled1.ipynb |
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# -- coding: utf-8 --
# This code is part of Qiski... | Notebooks/pytorch-qiskit-0.1-Ry-AQGD.ipynb |
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# # HR Analytics
# ## Dataset Description :
#
# 1. e... | HR_Analytics_Ritwik.ipynb |
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os.environ["PYSPARK_PYTHON"] = "/... | Course_4-Big_Data_Processing_using_Apache_Spark/Module_2-Spark_Structured_APIs/1-Introduction_to_Structured_APIs/Dataframes_GroupBy_Aggregates/dataframes_groupby_aggregates.ipynb |
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# # Nim with a Quantum Computer
#
# [Nim](https://en.w... | nim.ipynb |
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# # Example usage
#
# To use `pycounts`:
#
# ## Import... | docs/example.ipynb |
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# # The eleventh chapter from <NAME>'s boo... | 11. Chapter_/modules and packages.ipynb |
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import pandas as pd
from database.market import Market... | Price Comparisons.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Optima... | tutorials/ost_powermodels.ipynb |
# -*- coding: utf-8 -*-
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using Distributions
using ... | sims/publish/investigate_low_ARI.ipynb |
# -*- coding: utf-8 -*-
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using AvailablePotentialEn... | plots_notebooks/HomoAll_RossbyRadius.ipynb |
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# # Milestone Project 2 - Blackjack Game
# In this mil... | Complete-Python-3-Bootcamp-master/08-Milestone Project - 2/01-Milestone Project 2 - Assignment.ipynb |
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# # Exploring Art across Culture and Medium wi... | notebooks/samples/ConditionalKNN - Exploring Art Across Cultures.ipynb |
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import pandas as pd
import numpy as np
df = pd.read_cs... | src/train_model.ipynb |
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#all_slow
# -
# # Image classification - Real pro... | nbs/20_image_classification_user_story.ipynb |
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# ### Plotting alignment data
# +
# %matplotlib inlin... | plot_original_word_alignments.ipynb |
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# + [markdown] slideshow={"slide_type": "slide... | 11_external_files.ipynb |
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# # Scikit-Learn Classification
#
# - Pandas Documenta... | day_1/Lab_05_ML_Scikit_Learn_Classification.ipynb |
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# # Storm Centering
# by: <NAME> | correspondance: <EMAIL> ... | src/locus.ipynb |
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from scipy.special import sph_harm
imp... | spherical_harmonics/mesh_spherical_harmonics.ipynb |
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# + [markdown] colab_type="text" id="view-... | projects/ComputerVision/em_synapses.ipynb |
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | tpu/templates/tpu_rewrite/trainer.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="awCwVH9dlfsy" execution... | notebooks/tensors.ipynb |
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import unittest
import mlm
class Testmlm(unittest.... | lr_for_the_masses/rr_mlm/notebook test_mlm.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # C... | 9-classification-scikitlearn.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | RSI_Momentum_strategy.ipynb |
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# # CPW Launch Pad
# ### Preparations
# The next cel... | tutorials/Appendix C Circuit examples/E. Input-output-coupling/41-LaunchPad.ipynb |
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# ## Computer Vision Learner
# [`vision.learner`](/vi... | docs_src/vision.learner.ipynb |
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# + [markdown] colab_type="text" id="LcrCNS6jc5-e"
# #... | notebooks/DLTFpT-notebooks/shallow_net_in_pytorch.ipynb |
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import pandas as pd
# ### Use Habbyfun as a example t... | update need for adtimizer.ipynb |
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#use timeIndex to mark the hurricaneSpeed at a certain... | Assignments/System Thinking & Modeling/HW1/Simulation Code for HW1.ipynb |
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# + [markdown] id="327aZS9Hcwse"
# This notebook contains some simple code fo... | Nodes_for_the_real_data_experiments.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | orbit_hello.ipynb |
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# + id="43ZKMRXpm5Ud" colab_type="code" outputId="97fd665d-d838-4ddd-8c40-d0d... | matrix_two/day4_xgboost.ipynb |
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# ## Using RNN to predict Bit Coin Currency
#
# Edited... | DL/BTC_RNN.ipynb |
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import numpy as np
import cv2
import matplotlib.pyplot... | 12.gradient-smoothing/gradient-smoothing.ipynb |
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# + [markdown] id="Zmw-nFX6Q_T7"
# # Project CodeNet L... | notebooks/Project_CodeNet_LangClass.ipynb |
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# # First contact with df
# #### Batch data
# Data c... | Working with DataFrames.ipynb |
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# # Dealing with Structured Data- Global Terrorism Dat... | Session 3/Session_3_GTD_Structured Data.ipynb |
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# ## Import Modules
from bs4 import BeautifulSoup
imp... | Scraping Multimedia Files using Beautiful Soup.ipynb |
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# #!/usr/bin/python
import random
def makeTerrai... | naive_bayes.ipynb |
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from __future__ import print_function, unicode_lit... | examples/3D/2_training.ipynb |
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# # Training with multiple GPUs from scratch
#
# This ... | chapter07_distributed-learning/multiple-gpus-scratch.ipynb |
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# + id="DVmCTrbwNYh3"
#@title Install efs
# !pip install git+https://github.... | how_to_use.ipynb |
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import sys
sys.path.append("../")
from chic impor... | examples/example1 (coarse-graining ZIF-8).ipynb |
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... | notebooks/pga.ipynb |
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# # Some basic concepts
#
#
# * SQL to save jobs
# * log output in a home dir
# * Python native
#
# Classes: Task
#
#
| playground.ipynb |
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# !pwd
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import os
import tensorflow as tf... | tensorflow/day4/practice/P_04_07_dog_cat_binary_classification.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | experiments/train_age_9_class_random.ipynb |
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# + tags=["remove-cell"]
# %matplotli... | doc/source/tune/examples/tune-sklearn.ipynb |
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import pandas as pd
#attatch files
School_data= ... | PyCitySchool2.ipynb |