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# %% [markdown]
# # ... | notebooks/MPC-Out-of-Credit-vs-MPC-Out-of-Income.ipynb |
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import platform
print (platform.python_version())
"""... | ontology_tools/concern_build_ont.ipynb |
# -*- coding: utf-8 -*-
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# # Summary of lecture 1
... | Lecture 2 - Interval Arithmetics.ipynb |
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# # MAT281 - Laboratorio N°10
#
#
# <a id='p1'></a>
#... | labs/lab_10_Moreno.ipynb |
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# ## Import Libraries and Data
import numpy as np
imp... | Logistic Regression.ipynb |
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# #### You can write code in abstract methods
# +
fro... | 05 OOPS-3/5.2 Abstract class cont.....ipynb |
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# + [markdown] deletabl... | notebooks/Examples.ipynb |
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# # 課程目標:
#
# 利用神經網路的加法減法數學式來說明梯度下降
# # 範例重點... | D74_Gradient Descent_數學原理/Day74-Gradient Descent_Math.ipynb |
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# # Slicing and Dicing Dataframes
#
# You have seen ho... | 4_Slicing_Dicing.ipynb |
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import os
import csv
import pylab as pp
import matplot... | PEM/.ipynb_checkpoints/Plot-Copy1-checkpoint.ipynb |
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# +
#default_exp cycleGAN
# -
#export
from ModernArch... | cycleGAN.ipynb |
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import ast
import_with_from = """
fr... | prototyping/imports/import parsing.ipynb |
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# + id="rMRWvtRMbmjt" colab_type="code" colab={}
import pandas as pd
import m... | Random_Forest_on_All_Attributes.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | search-4e.ipynb |
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# The Marginal Value of Adaptive Gradient Methods in ... | Deep_Learning/archived/Appendix - Extra Reading.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span cl... | sandbox/0_predict.ipynb |
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import pickle
import os
from config import population_... | Archive/Scratch0.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | scripts/adlala_experiments/adlala_mol_graph.ipynb |
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# name: conda-env-lincs-complimentarity-figures-... | 6.paper_figures/supplementary-table1.ipynb |
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# # Introduction
#
# In these exercises we'll apply gr... | notebooks/pandas/raw/ex_3.ipynb |
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# # Writing Custom Dataset Importers
#
# This recipe d... | docs/source/recipes/custom_importer.ipynb |
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# # Implementation details: deriving expected moment d... | (EXTRA) Implementation details.ipynb |
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import pandas as pd
from ... | notebooks/scrapeChambersOfCommerce.ipynb |
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# default_exp models.base
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# export
import tor... | nbs/models.base.ipynb |
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# + [markdown] tags=[]
# # Explore data from Digital L... | notebooks/Eszti/dld_european_lang.ipynb |
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# Please find jax implementation of this notebook here: https://colab.researc... | notebooks/book1/15/gru_torch.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="MBZ61NLJXKLY" outputId=... | knn_classifier.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplotl... | misc/kaggle/src/n-grams.ipynb |
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# ## Functions as first-class objects
# In Python, functions... | content/post/python-functions/python-functions.ipynb |
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# + id="akTAhc5AnbiC" colab_type="code" colab={"base_uri": "https://localhost... | HelloGithub.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | Saraf/FINAL-Part-2-checkpoint -- RF.ipynb |
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# + extensions={"jupyter_dashboards": {"version": 1, "... | basics/Untitled.ipynb |
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# + [markdown] kernel="SoS" tags=[]
# # Format conversion
# + [m... | src/user_guide/convert.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] id="I1n9GDw... | Groping data/Grouping_data.ipynb |
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# ## ** Números primos **
# ## <NAME>
def primo():
... | primos 2.ipynb |
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# + [markdown] slideshow={"slide_type": "skip"}
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import glob
import matplotlib.pyplot as plt
import... | notebooks/Tuning/Bloom_Timing_TVD_evenlesssinking.ipynb |
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# Standard imports
import pandas as pd
import matp... | mavenn/examples/models/train_gb1_ge_additive_homogaussian.ipynb |
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# name: python374jvsc74a57bd0b39ab04170b6c60b52a31d4a7ab4d204539d261a537423dd50ae2a4297d5... | p26.ipynb |
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# # Step 3 - Prepare Data - Task 4 - Transform, 5 - S... | Notebook-Class-Assignment-Answers/Step-3-Prepare-Data-Task-6-Engineer-Features-Class-Assignment.ipynb |
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import re
with open("time1.txt","r") as f:
time = ... | new_neighbor/lab.ipynb |
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import math
r = 7
s = list()
for x in range(r+1):
... | 2020-02-25.ipynb |
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# <a target="_blank" href="https://colab.research.goog... | notebooks/hello-world-MNIST.ipynb |
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import glob
import numpy as np
import pandas as pd... | NB Optimization Stem 3 - AVERAGE.ipynb |
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# 알테어를 활용한 탐색적 데이터 시각화
# ===
#
# (Explorative Data Vis... | .ipynb_checkpoints/02_altair_marks_encoding-checkpoint.ipynb |
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### IMPORTS ###
import numpy as np
###########INT... | interactive/Untitled.ipynb |
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# # Running attribute inference attacks on the Nursery... | notebooks/attack_attribute_inference.ipynb |
# -*- coding: utf-8 -*-
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# # T120... | playbook/tactics/defense-evasion/T1207.ipynb |
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# ## 2. Feature extraction
# ### References:
# 1. htt... | dog-breed-identification/2. Feature_extraction_InceptionV3+Xception.ipynb |
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# ### In this notebook
# We showcase how to use the An... | notebooks/plots-and-analysis.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | SSD_predict.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | TwitterSentiment_Bi-LSTM.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/covid-19-active.ipynb |
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# + [markdown] id="o0OxG-eQ9MAP"
# **Exemplo 2 Carrega... | src/Codigo Suporte/Processamento_de_Imagens_CNNs_Exemplos_2_e_3_pynb.ipynb |
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# + deletable=true editable=true
import numpy as np
#... | TCC 01/.ipynb_checkpoints/Cluster-checkpoint.ipynb |
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import datetime
import pandas as pd
import pywt
f... | notebook/eda/Untitled1.ipynb |
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# + [markdown] id="DOaVwYVGt2Wl"
# # FordA data Visualization
# - get tsv fil... | FordA_visualization.ipynb |
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import torch
import torch.nn as nn
import torchvi... | IBM_AI_Engineering/Course-4-deep-neural-networks-with-pytorch/Week-6-CNN/9.5Torch-vision-model.ipynb |
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# # SVC
import matplotlib.pyplot as plt
from sklearn.... | svc_model.ipynb |
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# # Assignment 0
#
# ### In class exercise ( no submis... | Assignments/HW0.ipynb |
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# ## Analysis of Yelp Business Intelligence Data
# We... | Analysis.ipynb |
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# import sqlite3 package
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# create a co... | notebooks/Extracting data - databases.ipynb |
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# # Science Plan
#
# Objective - test hypothesis that ... | sacker/SackerSciencePlan.ipynb |
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# ## **問13 if ~ elif ~ else 文の使い方を知る**
# 続いて、if ~ el... | source/training13.ipynb |
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# # Share Tensor
# ### With Duet Clients
# ## Import ... | examples/secure-multi-party-computation/VMs/POC - Share Tensor.ipynb |
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# %gui qt
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import json
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# # This a jupyter notebook guide on compartment analy... | sequential_tracing/PostAnalysis/Part2_Compartment_Analysis_chr21.ipynb |
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import numpy as np
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# It was proposed by <NAME> that every odd composite n... | problem-46-goldbachs-other-conjecture.ipynb |
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# # Part 2: Intro to Private Training with Remote Exec... | examples/Part 02 - Intro to Private Training with Remote Execution.ipynb |
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# + [markdown] colab_type="text" id="7765UFHoyGx6"
# ##### Copyright 2020 The... | site/en-snapshot/lattice/tutorials/keras_layers.ipynb |
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# %load_ext autoreload
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sys.pat... | notebooks/toefl_grader.ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | Insurance Charge Multiple Regression 20.05.2020.ipynb |
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# coding: utf-8
from layer_naive import *
apple ... | ch05/buy_apple.ipynb |
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from PreFRBLE.convenience import *
from PreFRBLE.e... | notebooks/RedshiftMean.ipynb |
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# # Customer Churn Prediction with XGBoost
... | sagemaker_neo_compilation_jobs/xgboost_customer_churn/xgboost_customer_churn_neo.ipynb |
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def test_exercise_84_1(x) -> bool:
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# + [markdown] id="view-in-github" colab_type="text"
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#
# # microTVM Reference Virtual... | _downloads/b953c88e73d1c677901980c0271abd49/micro_reference_vm.ipynb |
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# + [markdown] id="ojm_6E9f9Kcf"
# # MLP 108
# + id="... | Workshop/MLP_108.ipynb |
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# ## Hebbian Learner
#linearly s... | Existing Neural net architectures.ipynb |
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# 対象データファイル
DATA_FILES = [
'http... | notebooks/メインストーリー2章10ドロップ率.ipynb |
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# Copyright statement?
# # A New 'Transition'
# Welco... | Chris Tiu Project/Test2.ipynb |
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# ### Юнит-тестирование
# <br />
# ##### Основы
# Т... | 2021/sem2/lecture_unit_testing/lecture.ipynb |
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# + pycharm={"is_executing": false, "name": "#%%\n"}
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# ```py
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# + [markdown] nbgrader={}
# # Matplotlib Exercise 3
... | assignments/assignment05/MatplotlibEx03.ipynb |