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# # Lab 1: Exploring languages through word frequencie... | ECE365/nlp/ece365sp21_nlp_lab1dist/Lab1_NB.ipynb |
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# importing modules
import networkx as nx
import m... | Semester 6/DWM/Untitled.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<... | examples/example_mpl_style.ipynb |
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from keras import backend as K
... | notebooks/staging/AutoEncoders_in_Keras_Tutorial.ipynb |
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# + colab_type="code" id="RXZT2UsyIVe_" colab={"base_uri": "https://localhost... | Convolutional Neural Networks in TensorFlow/week2 Augmentation to Avoid Overfitting/Horse_or_Human_WithAugmentation.ipynb |
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skuinfo=[]
skuinfo.append('%s' % '\t'.join(["cid3","ci... | other/Untitled12.ipynb |
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import numpy as np
import pandas as pd
# # Arrays
ar... | Numpy.ipynb |
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# # Collaboration and Competition
#
# ---
#
# In this ... | Projects/p3_collab-compet/Tennis.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 3_Regression_Models.ipynb |
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# %load_ext autoreload
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# # Best Practices for Coding in Python
#
# There are ... | IntroToPython/StyleGuide.ipynb |
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# # Publi... | 05_TrainWithAMLPipeline.ipynb |
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# name: python385jvsc74a57bd0c94be41889154d41bf43aca8d1a8d1cd64b97c11... | aprendizado-de-maquina-ii/acesso-base-de-dados.ipynb |
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# # Presentation materials
#
# This notebook can be us... | examples/politicization/create_presentation_materials.ipynb |
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# # Pandas pipelines
#
# [Method chaining](https://tom... | doc/pandas_pipeline.ipynb |
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# + [markdown] id="xnyZ2Wv8aVEp" colab_type="text"
# # Introduction
# + [mar... | deep_learning/generative/Keras_SimpleGAN.ipynb |
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# # Voting
# Why we need voting?
# - Equally treat ea... | Task7.ipynb |
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# + [markdown] id="iPpI7RaYoZuE"
# ##### Copyright 2018 The TensorFlow Author... | site/ko/r1/tutorials/eager/eager_basics.ipynb |
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import calendar
m, d, y = map(int, input().split(... | hacker-rank/Python/Date and TIme/Calendar Module.ipynb |
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% ## Trigonometric Fourier series examples
%
% **Example:... | Fourier_series.ipynb |
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# # About Dataset aggregate_covid_country.csv
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# # tempfile -- Generate temporary files and directori... | notes/2019/2019-11-27-python-stdlib-tempfile/tempfile.ipynb |
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import pickle
f... | captioning/evaluation/Report-Visualizations.ipynb |
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# # Monte Carlo Tree Search
#
# This notebook explores... | notebooks/monte_carlo_tree_search.ipynb |
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# ### MNIST Dataset
# http://yann.lecun.com/exdb/mnist... | RandomForest/RandomForest_Exercise.ipynb |
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# GENERATOR are created using yield keyword , it i... | Generator/generator.ipynb |
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# # DTAT PROCESS FOR NEW DATA
#
import os
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# ###... | PyCitySchools_starter.ipynb |
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# **What does this notebook do?**
# - Load the exporte... | chart-one-day-with-garmin.ipynb |
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# %load_ext autoreload
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import os
... | inference/decoder_quality.ipynb |
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# # Bounds on Privacy Amplification by Shuffling
# Bas... | Bounds on Privacy Amplification by Shuffling.ipynb |
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lista = [1,2,3,4,5]
n1, n2, *n = lista
pr... | Curso Udemy 2022/Curso_Luiz_Otavio/Aula 56 - args e kargs.ipynb |
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# # Homework and bake-off: pragmatic color description... | hw_colors.ipynb |
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# # Preliminaries
#
# The `pandas` library allows the ... | practicals/week_3.ipynb |
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import copy
import dgl
import matplotlib
import ma... | atom_weight_visualization.ipynb |
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# + nbsphinx="hidden"
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import numpy as np # advanced ma... | keras DNN MNIST model train.ipynb |
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import os
import numpy as np
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# # Model
# ## Importing Data
# +
# Import necessary... | trgt/model-final.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-west... | introduction_to_amazon_algorithms/blazingtext_word2vec_text8/blazingtext_word2vec_text8.ipynb |
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# ## Machine Learning Model Building Pipeline: Machine... | Section-2-Machine-Learning-Pipeline-Overview/Machine-Learning-Pipeline-Step4-Model-Building.ipynb |
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# # Least squares fitting of models to data
# This is... | examples/notebooks/chi2_fitting.ipynb |
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... | corso-data-science-2021/hands-on/04-regression-and-clustering/lessons/extra/mutual-information.ipynb |
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# + active=""
# 说明：
# 在一个 m*n 的二维字符串数组中输出二叉树，并遵守以下... | Tree/1021/655. Print Binary Tree.ipynb |
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# # Guided Analysis - User Security Metadata (Priva... | Notebooks/BehaviorAnalytics/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb |
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#1 print tup
Tup=4,5,6,7,8,9
Tup[0:6]
tup=(4,5,6,7)... | mounika sai python quiz 2.ipynb |
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# # Pandas with SQL
#
# The [`pandas.io.sql` module](h... | 01day02_database/pandas_sql.ipynb |
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from __future__ import print_function, division
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fol... | dataset/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# ... | ML/analysis scripts/analysis_RJ.ipynb |
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# # Logistic Regression
#
# ## Binary classification p... | exercise/ex2_logistic_reg/1_logistic_reg.ipynb |
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# # Matplotlib
# Matplotlib is an amazing visualizati... | workshop5/matplotlib.ipynb |
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# # Hello, TensorFlow
# ## A beginner-level, getting started, basic introduction to TensorFlow
# + [markdown] colab_type="text" id="Rb5rSpcZvYbX"
# TensorFlow is a general-purpose system for graph-based computation. A typical use is machine learning. In this notebook,... | tutorials_previous/2_tensorflow_intro.ipynb |
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# # deep RNN
# In notebook 13, 3 layers of RNN did pr... | Project/lncRNA_13b_deep_RNN.ipynb |
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# # **QSAR Model Buil... | bioactivity-prediction-app/bioactivity_prediction_model.ipynb |
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# # Errors and Exceptions
#
# Programming is essen... | python/2017-05-18-standrews/python-02/errors.ipynb |
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# Comparison of different algorithms available in Scik... | Movie Recommendation System - 1M.ipynb |
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# ### Importing the required modules/packages
# +
imp... | Spam dectection v3.ipynb |
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# # Чем думает рыба?
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# # Install Nipype
#
# The best and most complete inst... | notebooks/resources_installation.ipynb |
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# <h2>Crimes rates per Neighborhood</h2>
# <p>Using da... | .ipynb_checkpoints/main-checkpoint.ipynb |
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# # 14 Linear Algebra
# ## Motivating problem: Two mas... | 14_linear_algebra/14_Linear_Algebra.ipynb |
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# # This notebook presents the results for the rank me... | Rank Method.ipynb |
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# These are all the modules we'll be using later. Make... | Notebooks/Testing Data Augmentation.ipynb |
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import numpy as np
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import geop... | docs/examples/jupyter-notebooks-dev/issues/map-california-housing/map_california_housing.ipynb |
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# + [markdown] colab_type="text" id="copyright-notice"
# #### Copyright 2017 ... | ml/cc/exercises/ko/intro_to_sparse_data_and_embeddings.ipynb |
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# # Assignment is at the bottom, please head over there for evalua... | Python for Data Science Zero to Hero/Day-1.ipynb |
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# Design MERFISH probes using the example inputs from ... | Library_design/CTP-10_Aire/Merfish_design_smFISH_Aire.ipynb |
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# + [markdown] id="gfcHVOxHeNLI"
# ### Creation of the... | Finetuning/single_task_no_pretrained/evaluate.ipynb |
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# 190514
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# function review
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def len_of_st... | 190514.ipynb |
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# # Goal of Week 1
# This week, we will:
# ... | media/f16-scientific-python/.ipynb_checkpoints/PythonScientificWS-Week1-checkpoint.ipynb |
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# + [markdown] deletable=false editable=false nbgrader... | week1/.ipynb_checkpoints/assignment1-checkpoint.ipynb |
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# # Test package locally
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#import requests
#import... | .ipynb_checkpoints/sddk_playground-checkpoint.ipynb |
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# # Using Nipype Plugins
#
# The workflow engine suppo... | workshop/nipype_tutorial/notebooks/basic_plugins.ipynb |
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im... | RL_for_CTR_optimization.ipynb |
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# # Exercise 03: Splitting sentences and PoS annotatio... | 1j_NLP_Python/ex03.ipynb |
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abl ace adj aer ara art ase ave ban bar ba... | src/puzzle/examples/puzzle_boat/4/how_big_is_your_hat.ipynb |
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# ## 1. Setup Mario
# !pip install gym_su... | mario/Mario_Reinforcement_Learning.ipynb |
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# # POC-English baseline test `2018-11-08`, Li... | notebooks/POC-English-LG.5.5.1-2018-11-08.ipynb |
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# https://news.daum.net/economic
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# # Finite Volume Discretisation
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# default_exp core
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# # Core
# > Hello, detail... | 00_core.ipynb |