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from examples.singl... | cseq2seq.ipynb |
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#List of high schools
high_schools = ["Hernandez High ... | pandas_practice.ipynb |
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import pickle
import json
from pprint import pprint
fr... | sudo_labels.ipynb |
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# ## Interoperating with Verilog
#
# It is easy to cre... | notebooks/advanced/verilog.ipynb |
# -*- coding: utf-8 -*-
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# # 数学機能
#
# Julia 0.6.2 で... | Julia/math.ipynb |
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# %matplotlib inline
import gym
import itertools
... | TD/SARSA.ipynb |
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# %load_ext autoreload
# %autoreload 2
from utils... | simpsons_cnn.ipynb |
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# <br>
# <font color='black', size="6">
# <center>... | Python Practice/10_List Comprehension.ipynb |
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# Implementation of LEAP algorithm
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# !pip install... | GeneBurinskiyAllenRoss_Weissbrod_FinalProject/GeneBurinskiyAllenRoss_Weissbrod_FinalProject.ipynb |
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# # ArviZ Quickstart
# +
# %matplotlib inline
import ... | doc/notebooks/Introduction.ipynb |
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# <figure>
# <IMG SRC="https://raw.githubusercontent... | Computerprogrameren TUDelft/Notebook 10 linear regressions 1/Halem_4597591_nb_notebook10.ipynb |
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# # Detecting deforestation in ... | samples/04_gis_analysts_data_scientists/detecting-deforestation-using-kmeans-clustering-on-sentinel-imagery.ipynb |
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# name: python374jvsc74a57bd07945e9a82d7512fbf96246d9bbc29cd2f106c1a4a9cf54c9563dadf10f22... | week3_course_python_III/day1_python_VII/theory/6_import/6_import.ipynb |
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import pandas as pd
import numpy as np
from tqdm impo... | Energy Bigdata Utilization/Code/MODEL/3. Modeling - LightGBM.ipynb |
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# # Using Yellowbrick for Machine Lea... | examples/pbwitt/testing.ipynb |
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# # Softmax exercise
#
# *Complete and hand in... | assignment1/softmax.ipynb |
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# + slideshow={"slide_type": "skip"}
from IPython.core... | Lecture 7, Direct methods for constrained optimization.ipynb |
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# + pycharm={"is_executing": false}
from mmdet3d.apis ... | demo/inference_demo.ipynb |
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# # Predicting Heart Disease
# <p>This pro... | notebooks/1-initial-data-exploration.ipynb |
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# # Filter ... | so-co2-airborne-obs/_prestage-obs/old-split-ipynb/aircraft_filter_mspo_med.ipynb |
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# # iPython Profiler
#
# IPython bietet Zugriff... | docs/refactoring/performance/ipython-profiler.ipynb |
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import torch
... | LOC_Model_Training/model_creation_sub01_LOC_RAFT.ipynb |
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import glob
import pand... | go2page.ipynb |
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# `jupyter notebook`
# # Matplotlib, tylko bardziej
... | 2016_07_14_drugie.ipynb |
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import pystan
import bebi103
import numpy as np
im... | behrens_MCMC.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | examples/pyroVED_examples.ipynb |
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# + id="3tFGgFKexKF1" colab_type="code" colab={}
import matplotlib.pyplot as ... | vanishing-gradient-notebook.ipynb |
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# # ml lab1
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import numpy as np
import pandas as p... | lab1/.ipynb_checkpoints/lab1-checkpoint.ipynb |
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# name: python3613jvsc74a57bd0fdec29f9b47567deea31828944d53754... | NSMC Classifier_BERT.ipynb |
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# # Creating a Sampled Dataset
#
# **Learning Objectiv... | courses/machine_learning/deepdive/05_review/2_sample_dataset.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | notebooks/viral_load.ipynb |
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# # Group Submission 2
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# ## Team Members:
# - <N... | Jupyter_notebook/Jupyter_Notebook_Python.ipynb |
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# #Quest!
# Now that we have amassed all the tools we ... | Python Workshop/Quest.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Lab6_on_live.ipynb |
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# + [markdown] raw_mimetype="text/latex"
# (c) <NAME> ... | notebooks/09_assembly.ipynb |
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# Import required libraries
import pandas as pd
im... | notebooks/3. Top_Blockers_for_development.ipynb |
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# ````
# AESM1450 - Geophysical Prospecting -- Contro... | A-Interactive-GUI.ipynb |
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# name: python37664bitvenvvenv11a0a02e04af425b9... | notebooks/benchmarks.ipynb |
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import cv2
import numpy as np
import pyzbar.pyzbar... | _posts/OpenCV/codes/Untitled.ipynb |
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#Data import using Numpy
import numpy as np
impor... | apps/data_analysis/grip_classification/.ipynb_checkpoints/GripClassifier-checkpoint.ipynb |
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# <h1> Deploying and predicting with model </h1>
#
# T... | courses/machine_learning/deepdive/06_structured/labs/6_deploy.ipynb |
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from raiwidgets import ErrorAnalysisDashboard
from azureml.core import Workspace, Dataset
subscription_id = '##############'
resource_gro... | packages/How_to_implement_Azure_machine_learning/aml_modeling/notebooks/error_analysis.ipynb |
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# + [markdown] colab_type="text" id="qN8P0AnTnAhh"
# ##### Copyright 2019 The... | docs/tutorials/federated_learning_for_image_classification.ipynb |
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# # Time series forecasting using ARIMA
# ### Import n... | analyses/SERV-1/Usr-5min-ARIMA.ipynb |
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import bs4
import requests
import csv
import pandas as... | Medifee/spa.ipynb |
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# # Assignment 3 Ungraded Sections - Part 2: T5 SQuAD ... | Natural Language Processing/Course 4 - Natural Language Processing with attention models/Labs/Week 3/Part 2 - T5 SQuAD Model.ipynb |
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# # FloPy
#
# ### ZoneBudget Example
#
# This notebook... | examples/Notebooks/flopy3_ZoneBudget_example.ipynb |
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"""Simulation of infections for different scenarios.""... | scripts/Untitled2.ipynb |
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#default_exp parallel... | nbs/03a_parallel.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 5_test_KFold.ipynb |
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# In this notebook, you will implement the forward lon... | Longitudinal_Vehicle_Model.ipynb |
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# # Day 19: Interfaces
#
# *Author: <NAME>*
#
# ## Obj... | 30 Days of Challenge/Day 19 - Interfaces.ipynb |
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# # RBM training $L= 100$ - Dataset with $ T = \infty$... | training_RBM/.ipynb_checkpoints/RBM_L100_train_dataset__only_Tinf-checkpoint.ipynb |
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import numpy as np # numpy kütüphanesi programa np adı... | 01Numpy.ipynb |
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import pandas as pd
import geopandas as gpd
import mat... | notebooks/sandbox/Illustrating process from treelist to shapefile.ipynb |
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# # Solar Power Generation Data: KMM, Naive and Decisi... | src/notebooks/ClassifierTestBase.ipynb |
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# + [markdown] colab_type="text" id="TBFXQGKYUc4X"
# ##### Copyright 2019 The... | courses/udacity_intro_to_tensorflow_for_deep_learning/l05c01_dogs_vs_cats_without_augmentation.ipynb |
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# + tags=[]
from sklearn.datasets import fetch_lfw_people
faces = fetch_lfw_p... | python/test.ipynb |
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# ## NWB-Datajoint tutorial 1
#
# **Note: ... | notebooks/artifact_test.ipynb |
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... | notebooks/BranchesPerVesselLength.ipynb |
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# ## Import Package
# +
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# + id="DAnCpLjTo1kW"
# ! mkdir ~/.kaggle
# ! cp kaggle.json ~/.kaggle/
# ! c... | Day42/Untitled1.ipynb |
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# # <font color='blue'> Exploratory Data Analysis with... | uoft-exploratortdataanalysis/.ipynb_checkpoints/ExploratoryDataAnalysisWithPython-Instructors-checkpoint.ipynb |
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def gaussian_elimination_with_pivot(m):
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# # Fish sleep and bacteria growth - A review of Stati... | _notebooks/2020-06-23-01-Fish-sleep-and-bacteria-growth.ipynb |
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import numpy as np
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import rand... | examples/Analysis/FigHI-Comparing-Modeling_Choices.ipynb |
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# 参考 https://www.jianshu.com/p/6ef54e943ad0
import pa... | xiaobinghui/analysis/.ipynb_checkpoints/pandas-lag-checkpoint.ipynb |
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import numpy as np
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import math
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import pandas a... | xgb_ftw-2.ipynb |
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# # Session 5: Generative Networks
# ## Assignment: Ge... | session-5/session-5-part-1.ipynb |
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#https://eli5.readthedocs.io/en/latest/tutorials/sklea... | crf-python/crf-tutorial.ipynb |
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# **1**. Connect to the SQLite3 database at `data/facu... | quiz/Quiz02.ipynb |
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# + id="YdTMFzueJXGi"
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# ## TensorFlow Obje... | TensorFlow_Object_Detection_API.ipynb |
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# # numpy.random Package Investigation¶
# ### This is... | numpyRandom.ipynb |
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# + init_cell=true
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# # Introduction to the Memory Data
#
# ##### This is ... | An Introduction to the Included Data.ipynb |
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import cv2 as cv
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from spellchecker import SpellChecker
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# **Solution for migrating all user data between ArcGI... | transfer_data_between_orgs.ipynb |
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# + id="_Pkmfqg8zWco" colab_type="code" colab={}
impor... | Chapter02/Exercise2.02/Exercise2.02.ipynb |
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# # NLP Part 2
#
# ## Stop Words
# - Youtube tutorial ... | nlp/NLP - Part 2.ipynb |
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import numpy as np
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i... | analysis_notebooks/MABSelector_exploitive vs ClusterBasedWCSelector_609.ipynb |
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# ## Keras GAN
# A simple GAN for genera... | GAN/GAN Basics/Keras GAN.ipynb |
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# \# Developer: <NAME> (<EMAIL>) <br>
# \# 3rd Februar... | 3) semi-supervised_text/3.SELF_LERANING.ipynb |
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import glob
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# Web App BackEnd
from flask import Flask, render_... | Code & Dataset/6.UI Development/app.ipynb |
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# # Overlap Tomography Code
#
# This code performs the... | Fock_state_overlaptomo.ipynb |
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# # Assignment 2: Bias
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# + [markdown] id="HOtxmevmzwOh" colab_type="text"
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# Below is a table schema for a P2P messaging appl... | interviewq_exercises/q009_pandas_msg_response_time.ipynb |
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import os
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