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# https://leetcode.com/problems/short-encoding-of-wo... | lt820_short encoding of words prefix search trie.ipynb |
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from multiinstance.agglomerative_clustering import AgglomerativeClustering
from multiinstance.ward_clustering import WardClustering
# +
# Agg... | 08_compare_ks_agglomerative_to_ward_clustering.ipynb |
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# # Evaluating Classifiers
import pandas as pd
# * *... | week2/EvaluatingClassifiers.ipynb |
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# # Autograph: Intuitive Data-Driven Control At Last
... | qnarre.com/static/pybooks/autograph.ipynb |
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with open('exported-discussion.txt') as f:
text = ... | wordcloud.ipynb |
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# # Exploring Data in Jupyter Notebook
# Importing th... | Reading Files .ipynb |
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# 1.linear
def linear_search(data, target):
... | fun_coding/basic concepts/basic_algorithms.ipynb |
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# ## Probabilistic view of least squares
import numpy... | lectures/Lecture_3.ipynb |
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import datetime
import json
import uuid
import xml... | hierarchy-data/specs-scraper/Ingest_Data_To_Casandra.ipynb |
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# <center/><h3/><font color='green'/>Bibliotecas
# +
... | webScraping-instagram.ipynb |
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# <a href="https://colab.research.google.com/github/TH... | session_three/session_three_solutions.ipynb |
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# + active=""
# Text provided under a Creative Commons... | lessons/14_Step_11.ipynb |
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# + [markdown] id="iExk8GQEl-0m" colab_type="text"
# In this tutorial, you wi... | deep_learning/space_image/TF2Keras_Transfer_Learning_PreTrained_Model.ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | Study1_MTurk/Analysis_scripts/2.Modeling/Matlab_cluster_modules/PlotResults_study2.ipynb |
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# # Building steel coils
#
# This tutorial includes ev... | examples/cp/jupyter/SteelMill.ipynb |
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import pandas as pd
import numpy as np
data = pd.read... | mainfile.ipynb |
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# This is to demonstrate how to use the `s1... | LaPalma/0_LaPalma_Enumeration_T169.ipynb |
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# + [markdown] id="ctKdQ8Hw9Sfi"
# # HackNITP Winter '... | HackNITP Winter '21 AI Challenge 2.ipynb |
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# # City Weather ... | WeatherPy/WeatherPy.ipynb |
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# # Procedural programming in python
#
# ## Topics
# *... | L5.Procedural_Python.ipynb |
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from BurstCube.simGenerator import configurator
conf =... | lepalmer/localCodes/local_test/1000_15_c/Localization Code Azimuth Changing.ipynb |
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# + id="_Pkmfqg8zWco" colab_type="code" colab={}
impor... | Chapter02/Exercise2.04/Exercise2.04.ipynb |
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# + [markdown] colab_type="text" id="view-in-gith... | 1-Intro-to-Deep-Learning/.ipynb_checkpoints/1_2_1_Assignment_Polynomial_Regression-checkpoint.ipynb |
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# <a href="https://colab.research.go... | t81_558_class_10_3_text_generation.ipynb |
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# # Lagrangian mechanics in generalized coordinates
#
... | notebooks/lagrangian_mechanics_generalized.ipynb |
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# # Support Vector Machines
# ## CS/DSA 5970
# +
impo... | skeletons/svm_script_skel.ipynb |
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# + [markdown] id="exoz57mj2FzI"
# # Tutorial on Information Theory in neuros... | MI_tutorial_student.ipynb |
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# # B... | slides/1_24/probability.ipynb |
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# # Download data and have... | EDA/Novarits_data_competition_eda.ipynb |
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# # Naming Conventions and Restrictions
#
# - repo nam... | notebooks/doc-002-conventions.ipynb |
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# %matplotlib widget
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import pandas as pd
import numpy as np
fro... | input/.ipynb_checkpoints/stock_final_regression -checkpoint.ipynb |
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# + [markdown] id="UiNxsd4_q9wq" colab_type="text"
# ### What-If Tool toxicit... | WIT_Toxicity_Text_Model_Comparison.ipynb |
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# ### Build Datafram... | notebooks/pandas/list2df.ipynb |
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import cluster
import random, pylab, numpy
class Pat... | models/nearest_neighbors/k_means.ipynb |
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# # Excitation Signals for Room Impulse Respon... | excitation-signal.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="7d_M53KCRuqo" outputId=... | Pythontax.ipynb |
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from time import t... | notebooks/2.0-whs-BuildModel.ipynb |
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# # Vascular, Extracellular and Restricted Diffusion f... | examples/example_verdict.ipynb |
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# + id="NTp7EUU_kT1x" colab={"base_uri": "https://localhost:8080/", "height":... | Code/GAN_V6_2_128px_without_cometml.ipynb |
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# %matplotlib inline
#
#
# # Mass-univariate twoway r... | stable/_downloads/d9e7f23ac267ddfa6023c7da2df2a984/plot_stats_cluster_time_frequency_repeated_measures_anova.ipynb |
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# # Example Logistic Regression and Linear SVC
# +
im... | Coding_exercices/Logistic Regression.ipynb |
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# # <집합 자료형>
# ### - 집합 (set)
# list나 tuple 과는 다르게, 순서... | python/Lecture05.ipynb |
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# # Command line interface
# This interface is useful... | docs/source/notebooks/.ipynb_checkpoints/06-command_line_interface-checkpoint.ipynb |
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# # Day4_Eigenvalues and SVD
import scipy
from scipy ... | blog/MachineLearning/src/Day4_Eigenvalues and SVD.ipynb |
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# %matplotlib inline
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import sc... | fundamentals_2018.9/inference/applications.ipynb |
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# # Enamel Thickness Boxplot
#
# The plot that will be reproduced here i... | Enamel Thickness in R.ipynb |
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# # **PYTHON**
# Python is a high-level programming l... | Python_Programming_language.ipynb |
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import pandas as pd
from sklearn import datasets
from ... | Supervised/Classification/Wine_Category_Prediction.ipynb |
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# + [markdown] id="Qvexyww7a-0o"
# <div>
# <img src="h... | WEEK_2/RepMLA_Etivity_2.ipynb |
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import pandas as pd
from os import path
import numpy a... | code/analysis/.ipynb_checkpoints/all_acting_analysis-checkpoint.ipynb |
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# # Regression algorithms for predicting stock market ... | notebooks/Classification/Prototype_Documentation.ipynb |
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# ## 임포트
# +
import pandas as pd
from glob import glo... | Chapter08/ensembles/Ensemble_Dogs_and_cats.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/W3D4_ReinforcementLearning/W3D4_Intro.ipynb |
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# # Jupyter Example 2 for HERMES: PiZero and Dragon2D
... | jupyter/e2-pizero-dragon2d.ipynb |
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# # Custom Header Routing with Seldon and Ambassador
#... | examples/ambassador/headers/ambassador_headers.ipynb |
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# # Getting Started
# This notebook is for a short dem... | examples/statistics.ipynb |
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div.prompt {... | test/Untitled.ipynb |
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# ## this is a modified copy of my origional that i wi... | notebooks/outcomes_and_alternative_calcs/06-feature_aggregation-Copy1.ipynb |
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from dwave.system import DWaveCliqueSampler, LeapHybri... | comparison/Ocean/LinearProgramming/DWave_Qiskit_Plugin_Test/External/Integer_LP_BURKARDT.ipynb |
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# ### Import Dependency
import pandas as pd
import nu... | sps_GBR_Hardness.ipynb |
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# ##### Authors:
# - <NAME>
# - <NAME>
#
# ##... | NLP_python.ipynb |
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# # Computational Structural Design II <br/> Assignmen... | 3_Materialization/Tutorial7/assignment2.ipynb |
# +
import numpy as np
import matplotlib.pyplot as plt
try:
import probml_utils as pml
except ModuleNotFoundError:
# %pip install git+https://github.com/probml/probml-utils.git
import probml_utils as pml
x = np.linspace(-1, 1, 100)
y = np.power(x, 2)
plt.figure()
plt.plot(x, y, "-", lw=3)
plt.title("Smoot... | notebooks/book1/08/smooth-vs-nonsmooth-1d.ipynb |
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# # This is a notebook for P... | notebooks/gain_estimation.ipynb |
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#
# # 3D wireframe plots in one ... | matplotlib/gallery_jupyter/mplot3d/wire3d_zero_stride.ipynb |
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# # Python implementations
# %matplotlib notebook
imp... | projects/project2/notebook/Linear Regression.ipynb |
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# # Boolean
# +
literal = ['A','B','C','Y']
for i in ... | dsi200_demo/_extra boolean.ipynb |
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from bs4 import BeautifulSoup
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import sys
im... | examples/external_models/alpenglow/evaluate.ipynb |
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# cd /Users/cfe/Dev/fastapi-nosql/
from a... | nbs/Working with Cassandra Models.ipynb |
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# # Truncation
#
# When the prior is very ... | notebooks/Examples - 2. Truncation.ipynb |
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from qiskit.circuit import Parameter, Quant... | qml/parametrzed_circuits.ipynb |
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# # Time Series
import numpy as np
import pandas as p... | ch11.ipynb |
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# + [markdown] id="1A93lbv8AFP_" colab_type="text"
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# #Notebook #3: Clas... | colab notebooks/Clasificador_final_+_excel_+_db.ipynb |
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# + [markdown] colab_type="text" id="1LEMD4f9dG3U"
# #... | Recurrent Neural Network/Char_RNN_GRU_Linux.ipynb |
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# # Разработать программу, для решения численным метод... | individual tasks/N Body simulation.ipynb |
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import pandas as pd
import numpy as np
from sklearn.tr... | 1_5_vorhersagen_treffen/Tutorial - Vorhersagen treffen - preparation.ipynb |
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# + [markdown] id="fh2cpWFgKlwv"
# # **AULA 03**
#
# * Introdução ao Python
#... | Imagens/AULA03_Introducao_Python_1.ipynb |
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# # 1. Regresión
#
# Revisaremos los conceptos de regr... | 01 Regresion.ipynb |
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# # 작업할 데이터 받기
df_ols = pd.read_csv('df_OLS.csv', enc... | Analysis/4.8_DataAnalysis_AllData-Follower_removeOutlierFirst_20200624.ipynb |
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# ### Virtual Agent for Frequently Asked ... | Virtual Agent for FAQ.ipynb |
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# ## Source
# 1. https://jovian.ml/aakanksha-n... | notebooks/8.nba_entity_embeddings__test_fastai.ipynb |
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# + id="npFemIWusYQi" colab_type="code" outputId="4f767764-1062-4649-c072-f5a... | AI_4_1.ipynb |
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# ## Our functional calculator … so far
#
# This is th... | 7181_05_code_ACC_SB/A fully functional, interactive calculator.ipynb |
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# # Intro to Python - Exercises - Part 6
# ## 6. Strings
# Unti... | Chapter 1/3. Python/String and Files/exercises/Into to Python - part 6.ipynb |
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# # Load Snapshot
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import sys
# sys.path.append... | tests/test_remote_snapshot.ipynb |
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# #### Note: 1번 DiscreteREINFORCE에서 겹치는 변수나 함수는 설명이 기재... | Policy_Based/REINFORCE/2. ContinuousREINFORCE.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | clean_bert_gpu_svm.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <im... | m02_data_analysis/m02_c06_development/m02_c06_lab.ipynb |
# ##### Copyright 2021 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/contrib/assignment.ipynb |
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# # Homework 1 - Problem 1
# ## Introduction
# #### E... | HW1_LetiziaRusso_Problem1.ipynb |
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# # Expander Di... | Old/Expander_DL_v04.ipynb |
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# ## Classifying Fashion Items using Deep Learning
#
#... | section_2/00_fashion_image_classification/fashion-mnist.ipynb |
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# +
import cudf
from collections... | codes/parking/rapids_seattleParking_ML.ipynb |