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# + id="rEBLmBmC1TaC" colab={"base_uri": "https://loca... | Qiskit Global Summer School 2020/Qiskit Summer School Final Project VQE.ipynb |
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# # ...in Python
# ## Transforming Data i... | docs/_sources/content/tutorials/python/python_transforming.ipynb |
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# * load book data
# * time same col, two ... | notebooks/20210825_timings.ipynb |
# -*- coding: utf-8 -*-
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# # Benders Decomposition
... | notebook/optimization_concepts/benders_decomposition.ipynb |
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"""
You are required to write a program to sort the (name, age, height) tuples by ascending order where name is string, age and height are numbers. The tuples are input by console. The sort criteria is:
"""
"""Question 19
Level 3
Question:
You are required to write a program to sort the (name, age, height) tuples ... | pset_challenging_ext/exercises/nb/p19.ipynb |
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# + _cell_guid="a3cb0ee3-7bca-4b2b-8a27-be198d18818e" ... | UpperDivisionClasses/Data_Science/week6/.ipynb_checkpoints/comax_handout_ref-checkpoint.ipynb |
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# # `trim_nonpercolating_paths`
# ``trim_n... | examples/filters/reference/trim_nonpercolating_paths.ipynb |
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# # Informe de aportes hidrol... | Informe2004.ipynb |
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# ## Reading and writing data files
# Thi... | tutorial006.ipynb |
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from env import MsnDiscrete
from stable_baselines3 import DQN
... | ws.ipynb |
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# Update sklearn to prevent version mismatches
# !cond... | testing_notebook.ipynb |
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# # Scaled data widget
# ipyscales also allow for fro... | examples/scaled-data.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %cd /home/ad... | notebooks/dev_notebooks/fastai.ipynb |
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# # HPC in Python with TensorFlow
try:
import goo... | tutorial1_HPC/python_hpc_TensorFlow.ipynb |
# -*- coding: utf-8 -*-
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# # JULIA MPI First Exampl... | lectures/other/2.%2520Using%2520MPI%2520from%2520Julia.ipynb |
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# + tags=["remove-cell"]
import pandas as ... | doc/jbook_example/_build/jupyter_execute/jbook_example.ipynb |
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help(round)
round(-2281.125,-1)
help(print)
planet... | notebook/python_objects.ipynb |
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# ## Basic types
some_fraction = 0.75
num_persons = 1... | python-quickstart.ipynb |
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# %load_ext autoreload
# %autoreload 2
import nu... | notebooks/05_compare_results.ipynb |
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from sklearn.preprocessing import MinMaxScaler
imp... | realtime-agent/realtime-evolution-strategy.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Basic_v3_Exp_PyTorch_Transformer_scratch_29_01_2021_13_01.ipynb |
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# # Efficient hyperparameter search with G... | 10_hyperparameter_optimization/01-model_selection_grid_search_optuna.ipynb |
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# # Lab 10: Central limit theorem, change detection, m... | ECE314/lab10/Lab 10.ipynb |
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# + [markdo... | notebooks/network-spatial-dependence.ipynb |
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# * This notebook was made to reproduce dri... | jie/drifter/ReproduceDrifterTrack.ipynb |
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import numpy as np
from sklearn import datasets, linear_model,... | 2-Regression/1-Tools/notebook.ipynb |
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import sys
sys.path.insert(0, '../src')
#... | notebooks/quantization.ipynb |
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# !ls -ltrh /dev/video*
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from IPython.display imp... | blur_face.ipynb |
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# # Activation functions
#
# - toc:true
# - badges: t... | _notebooks/2020-04-22-activation_functions.ipynb |
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# # Data modeling with Apache Cassandra
# ## Part I. ... | cassandra/cassandra.ipynb |
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# Demo version of the ``square_limit`` topic notebook in ``examples/topics/geometry``.
#
# Most examples work across multiple plotting backend... | examples/gallery/demos/matplotlib/square_limit.ipynb |
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# + [markdown] papermill={"duration": 0.052824, "end_t... | final/Best LB/fork-of-blending-with-6-models-5old-1new.ipynb |
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#
# # Wolfcamp Example - Single ... | doc/auto_examples/wolfcamp_single.ipynb |
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import numpy
from urllib.request import urlopen
import... | CSE258 Recommender System and Web Mining/hw2/code/CSE258hw2problem1.ipynb |
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# load model
import numpy as np
import matplotlib.... | GSM_model/GSM_model_glyco.ipynb |
# -*- coding: utf-8 -*-
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# # Fitzhugh-Nagumo Bayesi... | notebook/ParameterEstimation/DiffEqBayesFitzHughNagumo.ipynb |
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import kera... | analysis/apa/apa_max_isoform_basinhopping_simple.ipynb |
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# + slideshow={"slide_type": "skip"}
import subframe
s... | examples/Simple Example.ipynb |
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# # Bite Size Bayes
#
# Copyright 2020 <NAME>
#
# Lice... | _build/jupyter_execute/bandit_soln.ipynb |
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# # 통계 기초 밑바닥부터
# __참고:__ 여기서 사용하는 코드는 조엘 그루스(<NAME>)... | notebooks/pydata06_Statistics_basics.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | AODFinal.ipynb |
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import pandas as pd
"""TODO: change filename to M... | Updating_vitek_manually_specify_projects.ipynb |
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import pandas as pd
df = pd.read_csv('users.csv', hea... | demos/floc_simulation3/ResultsAnalysis.ipynb |
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# # Collect with requests: PBS.org
# Imagin... | Solutions/Week 02/webscraping/01-collect-with-requests.ipynb |
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# # Nifti Read Example
#
# The purpose of this noteboo... | modules/nifti_read_example.ipynb |
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# # Microlensing: Fitting for parameters
#
# In this n... | notebooks/Fink_microlensing_fit.ipynb |
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# # Package import
import numpy as np
import matplotl... | UDL Project/A5) PCA VISUALISATION FINAL.ipynb |
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# #Additional Question 1 Implementation
# My first ad... | galaxy_project/Ja) Additional Question 1 Implementation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | image_classification.ipynb |
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# # Processor temperature
#
# We have a te... | temperature/temperature.ipynb |
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# + [markdown] colab_type="text" id="NaZJVtw1iyEU"
# #... | lecture_2/06. Generators.ipynb |
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# # Markov Decision Process and Dynamic Programming
#
# > A notebook that helps us to discover Reinforcement Learning
# - toc: true
# - branch... | _notebooks/2020-06-14-MDP_DP.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | zero_short_learning_nli/zero-short-nli-practice.ipynb |
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# # Funciones Python
# Las funciones son fragmentos d... | Modulo2/2. Funciones Python.ipynb |
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# # Exploring the UTx000 Extension EMA Data
# (See the... | notebooks/4.3.1-hef-ema-summary.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | colab/tf_recommender/Recommender_Using_TF_1.ipynb |
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import numpy as np
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# # Model Persistence
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# Grupo 03
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# 1. <... | SRC/03_descritivas.ipynb |
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# # Bounding boxes
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# # Configure The Physical Device
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# # Conditional Probability & Bayes Rule Quiz
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# # Bonus: Temperature Analysis I
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# After downloading, install unrar on your computer
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# # Comentarios
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# # Utility Theory
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# Thi... | Ch10_UtilityTheory.ipynb |
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# # 머신 러닝 교과서 3판
# +... | ch05/ch05.ipynb |
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# # 第21章 PageRank算法
# 1. PageRank是互联网网页重要度的计算方法，可以定义推... | src/awesome_python/algorithm/staic_learn/第21章 PageRank算法/21.PageRank.ipynb |
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# # Fine-tune a reaction BERT for classification
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# >... | nbs/09_fine_tune_bert_on_uspto_1k_tpl.ipynb |
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# + [markdown] id="8Jc8GPqX_bWH"
# # Image Segmentation U-Net
#
# # + [https:... | Image-segmentation/OxfordPets/ResNet34-v2/ResNet34-v2.ipynb |
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# ## Importing the necessary librar... | bsil19151608-DMML1_P_Model_Dataset_1.ipynb |
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Standard things to import...
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# # Exploitation vs Exploration
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# + id="wDlWLbfkJtvu" cellView="form"
#@title Copyright 2020 Google LLC. Doub... | ml/cc/exercises/linear_regression_with_synthetic_data.ipynb |
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# ### Imports
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# # OOI Equipment mapping
# - 6/22: tweaked and tested... | OOI/OOI_equipment_mapping_Emilio.ipynb |
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# <p style="font-size:32px;text-align:center"> <b>Soci... | FB_featurization.ipynb |
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# # Retrieval and Preparation of San Francisco Traffic... | _datasets/san-francisco-traffic.ipynb |
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# + id="5d780ueIzzTk" colab={"base_uri": "https://loca... | 01_My_First_Deeplearning.ipynb |
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#@title Licensed under the Apach... | Curso Tensorflow/Curso4-TimeSeries/semana2/S+P_Week_2_Lesson_1.ipynb |
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# # MISSION TO MARS - SCRAPING
# ### Impo... | Mission_to_Mars/mission_to_mars.ipynb |
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# # Image classification using MLP
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# 1. Imports the ... | ComputerVision/03_convolutional_nerual_networks.ipynb |
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# # Lecture 3.1: Clustering
#
# [**Lecture Slides**](h... | data_analysis/3.1_introduction_to_machine_learning_and_clustering/clustering.ipynb |
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