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# # Adversarial-Robustness-Toolbox for scikit-learn Ex... | notebooks/classifier_scikitlearn_ExtraTreesClassifier.ipynb |
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# %load_ext autoreload
# %autoreload 2
from childes_m... | notebooks/phonbank2/6.1-phonbank-MI_fit-plot_longest-seqs.ipynb |
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import pandas as pd
import numpy as np
air = pd.read_c... | Multiindex_tabele_przestawne/Wyszukanie_Dannych_Po_Multiindexie_lab.ipynb |
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train_set_dir = "train_set/"
val_set_di... | IKB.ipynb |
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# + id="copyright"
# Copyright 2020 Google LLC
#
# Licensed under the Apache ... | notebooks/community/gapic/automl/showcase_automl_tabular_classification_batch.ipynb |
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# + id="z9ssb4OZX7XE" colab={"base_uri": "https://localhost:8080/", "height":... | assignment1.ipynb |
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# # Test de extraccion de datos
# ## Utili... | Victor Lecuna/Pruebas_Job_Bot_CH/Script_Lonza.ipynb |
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import os
import sys
import os
import sys
module_... | notebooks/nlp_analysis.ipynb |
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# # List Comprehensions
#
#
# List comprehension is a ... | .ipynb_checkpoints/List Comprehensions-checkpoint.ipynb |
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# ### Universidad de Costa Rica
# #### IE0405 - ... | Py2.ipynb |
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# # Training a RL Agent with Stable-Baselines3 Using a... | examples/reinforcement_learning_controllers/stable_baselines3_dqn_disc_pmsm_example.ipynb |
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# + id="u41hQ8ysr2eO" colab_type="code" colab={}
import pandas as pd
import a... | notebook/rbm_based_recommender.ipynb |
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# # Lesson 1 : Generate Gaussian Processes & Get predi... | notebooks/example_1_gaussian_random_fields_and_gp_interp.ipynb |
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import kera... | analysis/apa/ganception/apa_max_isoform_genesis_wgan_simple_multisample_descent.ipynb |
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# # Tensorflow
# %matplotlib inline
import warnings
... | notebooks/T10A_TF2_Building_Blocks.ipynb |
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# # Lesson 2: In-class exercises
# ---
# *... | 98_Archive/24_Python-II/Lesson2_exercises.ipynb |
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# # Data Setup
#
# In this no... | 7-TimeSeries/1-Introduction/working/notebook.ipynb |
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# # OpenCV Filters Webcam
#
# In this notebook, severa... | Pynq-Z1/notebooks/examples/opencv_filters_webcam.ipynb |
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import os
import pandas as pd
import matplotlib.pyplot... | TAZ/TAZ_analyze.ipynb |
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# # AoC Day 3
#
# <NAME>
#
# 3 December 2021
#
# ## Pr... | 2021/Day_03.ipynb |
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import pandas as pd
import json
# Refactoring census ... | data/unprepped/json file creation.ipynb |
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# # Make a figure of the deformation
import matplotli... | code/notebooks/greens-functions.ipynb |
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import pickle
import glob
import matplotlib.pyplot as ... | experiments/immediate_sensitivity/purchase_data_analysis.ipynb |
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# + [markdown] colab_type="text" id="5rmpybwysXGV"
# ##### Copyright 2019 The... | site/en/r2/tutorials/eager/custom_training.ipynb |
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# # Fine-Tuning
# :label:`sec_fine_tuning`
#
# In earlier chapters, we discussed how to train models on the Fashio... | d2l/pytorch/chapter_computer-vision/fine-tuning.ipynb |
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# # Field sampling tutorial
# The particle trajectori... | parcels/examples/tutorial_sampling.ipynb |
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# # Introduction
# - nb68で調べた特徴量を使ってみる
# - 標準化なしのsumのみ... | src/69_Create_Submission_39_ridge.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Survival_of_Titanic_Passenger_Kapil_.ipynb |
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# **Note**: Click on "*Kernel*" > "*Restar... | 00_python_in_a_nutshell/00_content_arithmetic.ipynb |
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## pneumo... | pneumothorax/notebook/0.plot_penumothorax_heatmap.ipynb |
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# # Efficient RAW file generation by subsampling
# Th... | jupyter-notebooks/voltage/07_efficient_gen_by_subsampling.ipynb |
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# +
#default_exp dzi
# -
#hide
# %load_ext autoreloa... | notebooks/20_uploading-your-own-deep-zoom-images.ipynb |
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# # Backtest of Model-Based Strategies | Price Lags
# ... | backtest_mbs_lags.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 4_ML_KNN.ipynb |
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# __GSoC 2016 Project Proposal__
#
# __Idea 6: Mobile-... | proposal.ipynb |
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# This notebook was prepared by [<NAME>](http://donnem... | sorting_searching/merge_sort/merge_sort_solution.ipynb |
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import os
myDirectory='E:\OneDrive\Python\PythonMegaC... | DataAnalysisPandas/DataAnalysis.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Activity_2.ipynb |
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import numpy as np
import matplot... | notebook/.ipynb_checkpoints/Finding cones note book-checkpoint.ipynb |
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# # Desafio 3
#
# Neste desafio, iremos praticar nosso... | main.ipynb |
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# Model prediction using LogisticRegressionCV with... | notebooks/primananda_charles-11210325-week2_LogisticRegressionCV_Best.ipynb |
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from psycopg2 import connect
import os
import json
imp... | psycopg2.ipynb |
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import numpy as np
import pandas as pd
import os
play... | Code/.ipynb_checkpoints/get_X_players_and_Y-checkpoint.ipynb |
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# + id="V0xH8XNEelKI"
# Cloning the repository
# !git clone https://github.co... | DeepFake_AUDIO.ipynb |
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# # Humans by group
# Author: <NAME> <<EMAIL>>
#
# Thi... | humans_by_group.ipynb |
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# # Who's responsible?
#
# Archives New Zealand's [Arc... | display_agencies_responsible_for_function.ipynb |
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# # Federated Learning - SMS spam prediction with a GR... | examples/tutorials/advanced/Federated SMS Spam prediction/Federated SMS Spam prediction.ipynb |
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# # Moving Average Model (MA)
# # Persistence Model
#... | Student Teaching/ARMA/MA.ipynb |
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# # Inleiding Jupyter Notebooks
# Voor het oefenen me... | Inleiding-Jupyter.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | generate_drive_fileid.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
... | notebooks/tutorialsByOnline.ipynb |
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# We need a TFR Dataset with A-values rather than Q-va... | other_stuff/DeepGomoku/new/TODO.ipynb |
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# ## Klassifikation
# Wir nutzen ein Datenset, das ha... | content/machine_learning_methods/solution_jupyter_notebooks/Klassifikation.ipynb |
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from nltk.corpus import stopwords
stopwords.words('eng... | Section01/Walkthrough_Section 1-4_Example of a Lexical Resource.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | train.ipynb |
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# <p style="font-family: Arial; font-size:3.70em;color... | Course Grade Sankey.ipynb |
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# # The Capacity and Power of Quantum Machine Learning... | notebooks/summer-school/2021/lec10.2.ipynb |
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// [![Binder](https://mybinder.org/badge... | Day12.ipynb |
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# # Supervised Learning: Decision Trees
# One very di... | notebooks/Decision Trees.ipynb |
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# # Module 2 : Wrap up Quizzzzzzz
# Import des donné... | notebooks/wrap_up_quiz--module_2.ipynb |
# # Exporting
# It's easy.
# ### save
# Setting `save` will save the animation to disk and show it inline.
import ahlive as ah
ah.Array([0, 1, 2], [4, 5, 6], save='exporting_tutorial.gif').render()
# ### fmt
# `fmt` does not have to be explicitly set; if `save` is suffixed with a file format, it will use that, else ... | docs/source/essentials/exporting.ipynb |
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import ipywidgets as widgets
from traitlets import Uni... | 2019-07-10-CICM/notebooks/d3-demo.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | Credit Card Fraud Detection/Model/baselinemodels-creditcard.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | GEN_8_StyleGAN2.ipynb |
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import numpy as np
import gym
import matplotlib.py... | notebooks/envs/mountain_car_continuous_v1.ipynb |
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# # EZyRB Tutorial 1
# ## Build and query a simple red... | tutorials/tutorial-1.ipynb |
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# <table> <tr>
# <td style="background-color:... | bronze/B12_Probabilistic_States_Solutions.ipynb |
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# ### 闭包（Closure）
#
# > 在计算机科学中，闭包（英语：Closure），又称词法闭包（... | Tips/2016-03-10-Scope-and-Closure.ipynb |
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# # Forecasting I: univariate, heavy tailed
#
# This t... | tutorial/source/forecasting_i.ipynb |
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# + [markdown] id="Rer_47I95Kns" colab_type="text"
# # GPT2-Telegram-Chatbot
... | notebooks/GPT2_Telegram_Chatbot.ipynb |
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# # Identity Scales
#
# Use data values **... | source/examples/basics/gog/identity_scales.ipynb |
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# # Combine EC all drugs data
#
# Source ... | analysis/prepare_ec_data/prepare_data.ipynb |
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# # Learning Objectives
#
# At the end of this class, ... | Notebooks/Applied_Descriptive_Statistics.ipynb |
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# +
import numpy as np
import pandas as pd
import os
i... | ml-workshop/src/Access-CSV&TSV-File.ipynb |
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# importing libraries to use
import pandas as pd
# Create the pat... | Jupyter_Notebook_Files/separateIMDb_Awards in 2 diff tables.ipynb |
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# https://machinelearningmastery.com/regression-tutori... | BostonHousingKeras.ipynb |
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from __future__ import print_function
from deepview imp... | deepview/DeepView Demo_FashionMnist_BackdoorAttack.ipynb |
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# # {glue:text}`{{ github_org }}_github_or... | monthly_update/templates/org_report.ipynb |
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# # Serial Test over USB
# Connecting to a USB serial ... | jupyter-notebooks/Serial Test over USB.ipynb |
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# ## In this notebook we will implement Policy Iterati... | PI_VI_FrozenLake/.ipynb_checkpoints/PI_VI_Frozenlake-checkpoint.ipynb |
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import requests
# pprint is used to format the JSO... | Ticket_Keywords_and_sentiments_extractor.ipynb |
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# # Introduction to BioPython
#
# Load Biopython libr... | book/_build/jupyter_execute/notebooks/BioPython Introduction.ipynb |
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import yaml
yaml.load('a: 123')
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yaml.load('Q... | Introduction.ipynb |
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# # Sense of humour replication
#
# Today's state of t... | HumourRegression.ipynb |
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# Hey everyone, this is my first go at Kaggle competit... | 2 digit recognizer/knn-from-scratch-in-python-at-97-1.ipynb |
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# Replace this text with the description of your task. Obviously the following text is just a silly example. You may use any number of markd... | examples/Python/How to print a caterpillar/description.ipynb |
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# # Publishing packages as web layers
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# Packages in ... | samples/05_content_publishers/publishing_packages_as_web_layers.ipynb |
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import queue
class BinaryTreeNode:
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import torch
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# # scikit-learn
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# + [markdown] id="Nsy7iQ-ZXA5G"
# ## Scrape BNC
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import numpy as np
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# + active=""
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