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# Copyright (c) Microsoft Corporation. All rig... | aml-pipelines-data-transfer.ipynb |
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import requests
import pandas as pd
import json
from ... | Dashboard/road2flask2.ipynb |
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# + [markdown] id="vfch6fQlnG05"
# # Guide... | tutorials/guide_to_module_validator.ipynb |
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# # Think Bayes
#
# This notebook presents example cod... | code/chap01.ipynb |
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# # 問題１ 数学(1)
# ### (1)$xyz$直交座標系において円柱面$x^2+y^2=1$,$x... | T-30joho.ipynb |
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from IPython.display import Image
Image('mat04.png')
... | notebook/12.5 Matplotlib04 Legend.ipynb |
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# # Masking grid cells
#
# This tutorial will demonstr... | docs/tutorial/02_ShapefilesAndCellMasks.ipynb |
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# <a id='top'></a>
# + [markdown] hideCode=false hide... | Db2_11.1_Regular_Expressions.ipynb |
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# # SINDy for neural inference
# ## Examples in Lorenz... | notebooks/.ipynb_checkpoints/interactive_SINDy_lorenz-checkpoint.ipynb |
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# + [markdown] id="GoCXzNvN8g-8"
# # Case Study 5 - Fi... | ds7333_case_study_5/case_study5_AL.ipynb |
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# + [markdown] id="H7LoMj4GA4n_"
# # aitextgen — Train a GPT-2 (or GPT Neo) ... | notebooks/old/4/aitextgen-CCS-gpt-neo-125M-2000-a.ipynb |
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# # First Order Equations
import numpy as... | Python/3. Computational Sciences and Mathematics/Diff Eqs/First Order Equations ODEs.ipynb |
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# # I... | tutorials/NYC_taxi_pygeos_trial.ipynb |
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from pydantic import BaseModel
from typing import Call... | doc/Method forwarding in connectors.ipynb |
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# default_exp core
# -
# # module name here
#
# >... | 00_core.ipynb |
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# Training Data
# +
# Lab 5 Logistic Regression Class... | tf/gdgkr/lab5-1.ipynb |
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# импортируем программные библиотеки
from osgeo import... | Whitelake by dachas for Khitrov.ipynb |
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# # Regression with DLT
# In this notebook, we want t... | docs/tutorials/regression.ipynb |
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# + tags=[]
import numpy as np
# X = Blocked, O = Available... | dijkstra.ipynb |
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# # Day 6
# ## Part 1
from aocd.models import Puzzle
... | src/2020/day-six.ipynb |
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import org.apache.spark.{SparkConf, SparkContext}
... | sdkv2/ch7/spark/Spam Detection.ipynb |
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df <- read.csv("registration.csv")
summary(df)
plot(df)
cor(df$voted,d... | Section 6/Voter Registration.ipynb |
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# # SLP Test
#
# Explorando classificador **Perceptron** com conjunto de dados... | ML/f00-sklearn_explore/02-slp/00-test.ipynb |
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# %matplotlib inline
#
# # 1D Unbalanced optimal tran... | master/_downloads/67d9f7b7540dd154bb2a380735385c70/plot_UOT_1D.ipynb |
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# <script async src="https://www.googletagmanager.com/... | Tutorial-Start_to_Finish-BSSNCurvilinear-Setting_up_Exact_Initial_Data.ipynb |
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from keras.models import load_model
i... | UI.ipynb |
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import torch
import PIL
import glob
import numpy ... | sandbox.ipynb |
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# # Solution 1
num = input("Enter a the height of the... | Assignment Day 3.ipynb |
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# Parts of this assignment will be **automatically gra... | labs/lab2/lab2_sol.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | ImageSegmentation/SegmentationBootcamp_Master.ipynb |
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# # Toy process C
#
# Compute the mean of each column,... | examples/toyC.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 03_PyTorch101/PyTorch101.ipynb |
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# # Example to calc... | notebooks/example_NGC1275_test_env.ipynb |
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import numpy as np
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# <table>
# <tr><td align="right" style="backgroun... | bronze/B50_Drawing_a_Qubit_Solutions.ipynb |
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import pandas as pd
import numpy as np
from sklear... | DataAnalysis/DataAnalysis.ipynb |
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# # Naive Disambiguation (Method 1)
#
# __<NAME> (DTU/... | notebooks/naive-disambiguation.ipynb |
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# <center><h1><font color="00695c">Board Games</font><... | boardgame/notebooks/EDA.ipynb |
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def isPalindrome(s):
if(s == None or len(s) ==0 ):... | 125. Valid Palindrome.ipynb |
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#1. Write a Python program to convert ... | Programming_Assingment_2.ipynb |
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# + [markdown] colab_type="text" id="OoasdhSAp0zJ"
# #... | site/ko/tutorials/estimator/linear.ipynb |
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#... | tutorials/W3D4_ReinforcementLearning/student/W3D4_Tutorial4.ipynb |
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# # Optimization for Grover's Algorithm
# +
from qisk... | sample/QuatumHoughTransform_sample.ipynb |
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# + active=""
# .. _introduction:... | doc/introduction.ipynb |
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# # Setup
#
# ## Importing libraries for analysis
#
#... | py_demos/2-drug-screening.ipynb |
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# # In this notebook a simple Q learner will be trained... | notebooks/prod/.ipynb_checkpoints/n08_simple_q_learner-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Módulos_Analise_Dados/Instruções_Numpy.ipynb |
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#... | module3-ridge-regression/LS_DS_213_assignment.ipynb |
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# # COLIN API Utils for getting filings
#... | tests/data/common/colin_api_utils.ipynb |
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import struct
import numpy as np
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# %matplotlib inline
# plotting
import matplotlib... | Energy Coldstart Forecasting/notebooks/model_bilstm.ipynb |
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# + [markdown] papermill={} tags=["awesome-notebooks/W... | WorldBank/WorldBank_Gini_index.ipynb |
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# #### _Speech Processing Labs 2020: Signals: Module 1... | signals/sp-m1-1-sounds-signals.ipynb |
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# # Digitize a Batch Record
# Critical pro... | digitize.ipynb |
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# # Assignment 16 Solutions
# #### Q1. What is the be... | Python Advance/16.Assignment_16.ipynb |
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// # Learning .NET Interactive Notebooks... | docs/LanguagesAndFrameworks/.NET/.NET Interactive Notebooks/Learning.NETInteractiveNotebooks.ipynb |
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# # Machine Learning
# ## Lab \#4: Support Vector Mach... | Python/ml/clf-svm.ipynb |
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# Playing with trying to get hovering tool time with d... | notebook/.ipynb_checkpoints/mpld3_kde_plot-checkpoint.ipynb |
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import pandas as pd
import numpy as np
impo... | eda_notebooks/WETH-USDT-500 Pool - Testing.ipynb |
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# # Downloading and parsing GenBank files from Python
#
# ## Inst... | README.ipynb |
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# # Spark with MLRun example
# This example notebook ... | examples/mlrun_sparkk8s.ipynb |
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# %load_ext autoreload
# %autoreload 2
import json, o... | Process Trial Results (Adult Income).ipynb |
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# A collection of random Pandas problems from stackove... | examples/Stackoverflow Pandas.ipynb |
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# # Observations and Insights
# Based on the analysi... | Pymaceuticals/.ipynb_checkpoints/pymaceuticals_starter-checkpoint.ipynb |
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# ## CFADs vs Drosdwosky
#
# This notebook plo... | notebooks/CFAD-DrosMJO.ipynb |
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# <table align="left">
# <td>
# <a target="_blan... | 002/solution/Linear-regression.ipynb |
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# name: python386jvsc74a57bd0cbed48eac648e81ccf1c681dd9326aaada9743655527812ef1d08301103e... | 2021_07_12/2_图像金字塔/2_图像金字塔.ipynb |
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# # Hyperparamete... | capstoneProject/hyperparameter_tuning.ipynb |
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# # Classify different data sets
# ### Basic includes... | Keras_assignment.ipynb |
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from gensim.models import LsiModel
import pyLDAvis... | sandbox/data_science/notebooks/tune_hyperparams.ipynb |
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# ## Example 2: Multi-Camera Scene
# +
im... | perception/fairotag/tutorials/2_multi_camera_scene.ipynb |
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import pandas as pd
import numpy as np
from sklea... | project/Python codes/.ipynb_checkpoints/Maturski SVM-checkpoint.ipynb |
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# Install dependencies for this example
# Note: This d... | examples/3DImage.ipynb |
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# +
#hide
# !pip3 install voila fastai
# !jupyter ser... | Bear recognizer/BearRecognizer.ipynb |
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# + [markdown] id="KFfm5epZogwp"
# Setup
# + colab={"base_uri": "https://loc... | code/Regularisation path plotting.ipynb |
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import io
import matplotlib
import matplotlib.imag... | experiments/indoor_scenes_eot_attack_eval.ipynb |
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import pandas as pd
import numpy as np
imp... | hello_genomics/test combat_app.ipynb |
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#This is Epidemiological model for LSD
# ## SEIR sys... | Epidemiological Model.ipynb |
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# # Think Bayes: Chapter 5
#
# This notebook presents ... | solutions/chap05soln.ipynb |
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# + deletable=true editable=true
from pymongo import M... | rf/RF-Entries.ipynb |
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# # 函数定义
#
# 本章我们将介绍编程语言中非常重要的一个概念——函数。这里的函数和我们之前在数学中所... | m5-101/content/python-functions-prev/python-functions-prev.ipynb |
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# # DataImage
# The `DataImage` widget is similar to ... | examples/DataImage.ipynb |
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# %% [markdown]
# ##... | docs/user_guide/fundamentals/descriptive_statistics.ipynb |
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# <h1><b>The Sparks Foundation</b></h1>
#
# <h1><b>Dat... | Task-1 TSF.ipynb |
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# # Object Detection Demo
# Welcome to the object dete... | reaserch/object_detection/object_detection_tutorial.ipynb |
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# For identifying networks of users via retweets
# +
... | DataAnalysis/Notebooks/.ipynb_checkpoints/User networks-checkpoint.ipynb |
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# + [markdown] id="RmeMvIoxySCo"
# # BERT Hugging Face/ transformers implemen... | bert.ipynb |
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# # Imports and Paths
import urllib3
http = urllib3.P... | notebooks/bgg_weekly_crawler.ipynb |
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import pandas as pd
import sys
test = pd.read_csv(
... | notebooks/tlh_1.01_clean_test.ipynb |
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# # Intelligent Systems Assignment 1
#
# ## Masterball... | masterball.ipynb |
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### PLOTLY - TERNARY PHASE DIAGRAM
# Importing Pan... | .ipynb_checkpoints/PlottingTernaryPhaseDiagram_unmodifiedversion-checkpoint.ipynb |
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# # Demo 3: Simple Image reconstruction
# + active=""... | Python/tigre_demo_file/d03_simple_image_reconstruction.ipynb |
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# # Now You Code 1: Address
#
# Write a Python program... | content/lessons/09/Now-You-Code/NYC1-Address.ipynb |
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# # DCGAN on the MNIST Dataset
import tempfile
import... | apphub/image_generation/dcgan/dcgan.ipynb |
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import pandas as pd
import numpy as np
import matplot... | Kaggle_Solutions/House-Prices-Advanced-Regression-Techniques.ipynb |
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# <a href="https://qworld.net" target="_blank" align="... | Bronze/quantum-with-qiskit/Q20_Hadamard_Solution.ipynb |
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# # Test scipy.sign... | contributors/ben_hills/SHARE_2_test_xcorr_FIS.ipynb |
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# # AI-LAB LESSON 1: Uninformed Search Strat... | lesson_1/lesson_1_problem.ipynb |
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# ## Welcome to the Introduction to Python Tutorials
#... | START HERE.ipynb |