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"""
LICENSE MIT
2020
<NAME>
Website : http://www.covi... | covid19_departements_dashboards.ipynb |
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# # 第一周 NMA 课程总结
#
# 本周的课程涉及到:
#
# - 计算神经模型的概念与基本类型
# ... | Lessons Summary/W1Summary.ipynb |
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from doctest import run_docstring_examples... | exercises/adventofcode.com/problems/2020_01.ipynb |
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# ## ASSIGNMENT 3
#
# In this assignment you will lear... | assignments/week2/Assignment3.ipynb |
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# coding=UTF-8
import os
import cv2
import numpy as n... | resnet_computer.ipynb |
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# + [markdown] id="ROFaYRSBFRhs"
# This file is now set for all 62 upstream g... | model3_NRM-G.ipynb |
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import numpy as np
from scipy.special import expit, logsumexp
f... | linear_model/LogisticRegression.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
... | main.ipynb |
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# # Loading datasets on Jean-Zay
#
# This ... | notebooks/data_access_demo.ipynb |
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fr... | src/population_dist_example.ipynb |
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# # test the version without pandas
import sys
dossie... | version_without_pandas.ipynb |
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# + gradient={"editing": false, "execution... | bear_classifier_app.ipynb |
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# # 什么是集成学习
import numpy as np
import matplotlib.pypl... | 10EnsembleLearningAndRandomForest/01What-is-Ensemble-Learning.ipynb |
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# ## Desktop 정리
# ### 마케팅 분석 Tool
#
# + 시장분석(SWOT / P... | Marketing/Marketing_khb(180618).ipynb |
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# # How to simulate
#
# The unique feature of structur... | docs/getting_started/tutorial-simulation.ipynb |
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# +
import matplotlib.pyplot as plt
import matplotlib.... | mechanistic/.ipynb_checkpoints/SSN_2D_model-May-15-clean-checkpoint.ipynb |
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# # Part 1 - Constructing simple CSG geometry
#
# To p... | tasks/task_03_making_CSG_geometry/1_simple_csg_geometry.ipynb |
# -*- coding: utf-8 -*-
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# # Daily Assignment 7/9/19 - Hypothesis Tests a... | Summer-19/DailyAssignments/Daily Assignment 7_9.ipynb |
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# 1. session length - general stats on how long sessio... | notebooks/03-visualize-cost-and-usage.ipynb |
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# # Demonstrate the use of `make_simlibs.py`
#
# The s... | example/Demo_make_simlibs.ipynb |
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# # Relation Extraction
# Ensure that FastAPI is up a... | example_notebooks/relation_extraction.ipynb |
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# +
import Ipynb_importer
import numpy as np
import pa... | TradingSystem/__main__.ipynb |
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import numpy as np
import theano
from theano impor... | ch13/02-linear-regression-with-theano.ipynb |
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pwd
data_path='/home/jlam/projects/dl_w_python_nb/dat... | .ipynb_checkpoints/2019_01_26_raw_text_to_embed-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | PneumoniaDetection_ALEXNet.ipynb |
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# <div style="text-align: center;">
# <h1>Interactive ... | notebook-samples/.ipynb_checkpoints/bokeh-stocks-hide-show-checkpoint.ipynb |
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# ## SageMaker Pipelines integration with Model... | sagemaker-pipelines/tabular/model-monitor-clarify-pipelines/sagemaker-pipeline-model-monitor-clarify-steps.ipynb |
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# # Paillier Homomorphic Encryption Example
#
# DISCLA... | notebooks/Syft - Paillier Homomorphic Encryption Example.ipynb |
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# # Spark SQL Examples
#
# Run the code cells below. T... | spark-example/7_data_wrangling-sql.ipynb |
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# > **Note:** In most sessions you will be solving exe... | material/session_17/exercise_17.ipynb |
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# # Lab 10.3.1 Visdom Example
#
# **<NA... | 12. Convolutional Neural Network/12-4. Visdom Example.ipynb |
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// <h2>--- Day 1: Sonar Sweep ---</h2>
... | Day01.ipynb |
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# ### 1. Introduction
# BioCRNpyler is a software tool... | examples/Developer Overview.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | AI/Tree Data/ML-TreeData.ipynb |
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# A comparison between LR and NWAY methods
# =========... | docs/astromatch/comparison_lr_nway.ipynb |
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#export
import tempfile
f... | nbs/73_callback.captum.ipynb |
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# # Supplementary Materials
# This code accompanies th... | _notebooks/.ipynb_checkpoints/Asymptotic Convergence of Gradient Descent for Linear Regression Least Squares Optimization-checkpoint.ipynb |
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# # Convert pt3 files to Photon-HDF5
#
#
# # Prepare t... | notebooks/Convert ns-ALEX PT3 files to Photon-HDF5.ipynb |
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# + [markdown] id="WDbhGHtG8jFE"
# # Part 3: Build an Embeddings index from a... | examples/03_Build_an_Embeddings_index_from_a_data_source.ipynb |
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# <img src="https://p... | Pandas - Advanced Pandas/01.Beginner to Advanced Pandas/01-01-getting_started.ipynb |
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# # Tutoriel numpy pour la création et la manipulation... | S1/MAPSI/TME/TME1/Tuto_numpy.ipynb |
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# # Lovely-Rita EDA
#
# ### Notebook by [<NAME>](https... | notebooks/Lovely-Rita.ipynb |
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# ## Importing libraries & getting data
import numpy as np
impor... | Custom Implementation of ML-algos/Decision Tree/decisiontree_custom_titanic.ipynb |
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import syft as sy
import torch as th
from syft.lib.pyt... | examples/experimental/tongye/torch_nn_Module.ipynb |
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# # QuTiP Example: Quantum System Subject to to Cohere... | qutip-notebooks-master/examples/nonmarkov-coherent-feedback.ipynb |
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# + id="Xdak5ueCSYdW" colab_type="code" colab={}
import torch
import torch.nn... | net_x2_ab.ipynb |
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# # Deep MicroBiome
#
# Aug. 14. 2019
# @ Youngwon (<E... | examples/analysis-simulation_s5.ipynb |
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# ## listas, tuplas y conjuntos
#
# Es un tipo de dato... | clase6.ipynb |
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// # Getting started with tslab
//
//... | notebooks/getting_started.ipynb |
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# In this project, we'll work with data from the [CIA ... | Analytics_Projects/Analyzing_CIA_Factbook_Data_Using_SQL.ipynb |
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# # Distances & Algo
import Levenshtein
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# Copyright (c) Microsoft Corporation. All rights r... | code/2.distributed-pytorch-with-horovod.ipynb |
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# ## String representation
#
# * By default, `str()` s... | String_representation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Plantilla_PLN_Spotify.ipynb |
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# # What is a Jupyter notebook?
#
# #### Application f... | numpy-data-science-essential-training/Ex_Files_NumPy_Data_EssT/Exercise Files/Ch 1/dashboard/.ipynb_checkpoints/Introduction to Jupyter Notebooka-checkpoint.ipynb |
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# ### Import Modules and Data
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import pickle
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import os
import sys
import pandas as pd
import muscope_loader
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print(sys.modules['muscope_loader'].__file__)
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# # Depth Controller
# ## Dynamic model based on Blue... | fossen_depth_controller/bluerov_model_v1.6.ipynb |
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# ## Exploration of olympic history data
# - Download... | ML1/exercises/olympic_history_solutions.ipynb |
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###
# THIS IS REQUIRED IN A NOTEBOOK TO RESET THE WOR... | samples/classification/models/L0RF2_NB/train_model.ipynb |
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# + dc={"key": "3"} deletable=false editable=false run... | Mobile Games A/B Testing with Cookie Cats/notebook.ipynb |
# -*- coding: utf-8 -*-
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# # Algebraic Manipula... | TutorialNotebooks/AlgebraicTransformation.ipynb |
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"""
In this notebook, the bell state circuit and deuts... | Notebooks/Variable Elimination.ipynb |
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# # EXERCÍCIOS SINGLETON
#
# [
# language: python
# name: python_defaultSpec_15... | 1/Task1.ipynb |
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# %matplotlib inline
import random
import math
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# # Welcome to the yt quickstart!
#
# In this brief tu... | doc/source/quickstart/1)_Introduction.ipynb |
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# # Using optimization routines from `scipy` and `stat... | notebooks/T07D_Optimization_Examples.ipynb |
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# ## Modeling timeseries data in MXNet: using LSTM to ... | E5_timeseries-modeling.ipynb |
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import requests
import json
# ## Configuration
auth ... | scripts/jupyter-notebook/collections.ipynb |
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# <ol>
# <li>Experiment with multiplying strings or li... | intro-to-python-ml/week1/excercise/python_intro_Exercise.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 1_3_automatic_evaluation_fibonacci_recursive_ast_only_DB.ipynb |
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import pdb
import csv
import time
# +
def getData(co... | reformatting rating.ipynb |
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# ## Lesson 5 - Printing, Strings, Numbers
#
# ### Rea... | lessons/lesson05.ipynb |
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# ** This notebook assumes ... **
#
# 1) Basic familia... | tutorial/notebooks/precessing_nr_surrogates.ipynb |
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import numpy as np
import pandas as pd
imp... | ENVE5810_Trends_RD.ipynb |
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# + [markdown] id="O4DSXpF-sEsE"
# **TASK 1**
# + id="3lzPIHlLj4bi"
import n... | Lab4.ipynb |
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# # Errors and Debugging
# Code development and data ... | #0-1 Introduction and Jupyter Notebook/#1.7 - Errors and Debugging.ipynb |
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# +
# Dependencies
import tweepy
import numpy as np
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import pandas as pd
import json
import numpy as n... | jupyterlab/graphs/EvolutionGraphs.ipynb |
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# # Assignment
# ## Programming for Data Analysis
# ##... | Programming-for-Data-Analysis-Assignments.ipynb |
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# name: python361064bitpythondataconda2... | .ipynb_checkpoints/mission_to_mars0903-2-checkpoint.ipynb |
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# # Aula 05 - Strings!
#
# Strings são estruturas de d... | Aula_05/Aula 05 - Strings.ipynb |
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# # PART 1
a = 10
a=b
try:
## code block where ... | Prerequisite/Advance Python Exception Handling.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="WJDQLGIicAfp" execution... | Reto_2_UTTeam.ipynb |
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# # Procesar el txt con spacy-stanza y guardar en un f... | A_Procesar_Guardar.ipynb |
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# MIT License
#
# Copyright (c) 2020 <NAME>
#
# Permis... | pyflightdata examples.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Day32_linux_command.ipynb |
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x = [2, 4, 6]
y = [3,5,6]
for xi, yi in zip(x,y):
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# <a href="http://landlab.github.io"><img style="float... | notebooks/teaching/geomorphology_exercises/channels_streampower_notebooks/stream_power_channels_class_notebook.ipynb |
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# # Chapter 2 Recursive state estimation
#
# ## Ex2.1 ... | ch02_recursive_state_estimation/ch02_recursive_state_estimation.ipynb |