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# # Data Loading and Manipulation
# ## Kindly load th... | RY Day1 of 10.ipynb |
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import pandas a... | Exploring Kruschke'WMADISO data with trend and cycle and AR1 noise.ipynb |
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# # Appendix C: True signal and FDR threshold adaptab... | Appendix/ipynb/AppendixC.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | 2. Microsoft AI Classroom Series!/tutorials/quickstart/azureml-quickstart.ipynb |
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import pandas as pd
pypoll = "election_data.csv"... | pypoll.ipynb |
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import matplotlib.pyplot as plt
import numpy as np... | scripts/lab4.ipynb |
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# # Discrete parameters
#
# In this notebook, we discu... | doc/examples/discrete_parameters.ipynb |
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# # License
#
# Copyright 2018 <NAME>
#
# Licensed und... | Python/autoencoders.ipynb |
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# # Demo Notebook For Concentric Transmon Qubit
# Sta... | tutorials/Appendix/Quick Topic Tutorials Notebooks/Concentric Transmon Demo.ipynb |
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import math
import panel as pn
pn.extension()
# The ``RangeSlider`` widget allows selecting a floating-point range using a slider with two ha... | examples/reference/widgets/RangeSlider.ipynb |
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# # Heterogeneous graph attention networks
#
# By <NAM... | 05-graph-attention/heterogenenous-graph-attention.ipynb |
# -*- coding: utf-8 -*-
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# # Advent of Code: Day 13... | 2021/Day13/Day13Solution.ipynb |
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#This module will apply the astropy Lo... | Applying Lomb-Scargle to a TESS lightcurve.ipynb |
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# Script for training a denoiser
import os
os.env... | papers/Remy2021/PosteriorSampling.ipynb |
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# # Unnecessary Complexity Through Layer Proliferatio... | qnarre.com/static/pybooks/layers.ipynb |
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# # Inverse covariance matrices
#
# In other notebooks... | notebooks/Emulating inverse matrices.ipynb |
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# + [markdown] id="mlfU2M0xPdAh"
# # **Выводы в конце ... | 1-DL course/12/o12_1 DSSM.ipynb |
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# HIDDEN
from datascience import *
from pro... | miscellaneous_notebooks/Distributions_of_Sums/Convolution_Formula.ipynb |
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from keras.models import Sequential
from keras import ... | Subtractor.ipynb |
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import pandas as pd
import numpy as np
import csv
impo... | scripts/survival screen data preprocessing and QC.ipynb |
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# + [markdown] id="view-in-github" colab_t... | jour3/ODE.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | copa_do_mundo.ipynb |
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import pandas as pd
from pathlib import Path
c... | notebooks/old_data_clean.ipynb |
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# # Import packages
import pandas as pd
# # Load dat... | model_tempetes/notebooks/emdat_enrichment_hist_temp.ipynb |
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# Import the usual libraries
import numpy as np
im... | notebooks/test_distortions.ipynb |
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# # Pandas - 数据处理
# ## 一、简介
# Pandas是一个强大的分析结构化数据的工具集... | 99 Cache/.ipynb_checkpoints/lesson1-2 Pandas-checkpoint.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="LGwSDVpO288T" outputId=... | Notebooks/CAPTCHA Recognition/CAPTCHA_Recognition.ipynb |
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# This example shows how to perform GP regression, but... | examples/kissgp_variational_regression_cuda.ipynb |
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# ## Part I
# #### Analyze Revenue Data From 2 Airline Companies
airli... | Analytics_R_online.ipynb |
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import cryptography
import hashlib
import os
import hm... | bitcoin_demo.ipynb |
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# # Getting started
# ## Overview
#
# MLRun Graphs en... | docs/serving/getting-started.ipynb |
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# <h1>Table of Contents<... | examples/pandas_api_num_and_cat.ipynb |
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# + [markdown] id="c7CN1KdyzYZN"
#
#
# * <NAME>
# * November 20th, 2020 ... | Final_Project_Development_Code_A01331212_ver_3.ipynb |
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# # Calculation of control fields for state-to-state t... | control-pulseoptim-CRAB-2qubitInerac.ipynb |
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# ## Sample 4.1 random drawing points from... | sample4.1_uniform_sample.ipynb |
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import numpy as np
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# # sxs_catalog_download_example
# This notebook demo... | sxs_catalog_download_example.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | JJ_Cheung_2022_Python_Programming_Practical_4.ipynb |
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# <a href="https://pymt.readthedocs.io"><img style="fl... | notebooks/bmi/coming_soon.ipynb |
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# # Exercise 02 - OLAP Cubes - Slicing and Dicing
# ... | Notebooks_Scripts/L1 E2 - 1 - Slicing and Dicing.ipynb |
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# default_exp bayes_inference
# -
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# # Run the LFADS algorithm on an RNN that integrates ... | notebooks/LFADS Tutorial.ipynb |
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# # Entorno de experimentación `HMMLike`
#
# Entorno d... | notebooks/HMMLike.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 01/CS480FourierFreq.ipynb |
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# # Car Rental 1
#
# ## Objective and Prerequisites
#
... | car_rental_1_2/car_rental_1_gcl.ipynb |
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#... | atomsci/ddm/examples/tutorials/10_Delaney_Solubility_Prediction.ipynb |
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# name: python385jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b7... | LE2/list-operations.ipynb |
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# # Logistic Regression
# This notebook tackles "bina... | lecture08.ML2/logistic-regression.ipynb |
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import time
import to... | gan/CGAN_cifar10.ipynb |
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import os, gc
import pygrib
import numpy as np
imp... | scraps/notebooks_latest/agg_urma_verif.ipynb |
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# ## Synthetic spectra generator
# +
#First reset sys... | Training_SPECNET/Code_to_train_Specnet.ipynb |
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# + [markdown] id="-2JD2NccUmab"
# # História das Olim... | Projeto_Olimpiadas_18_10_2021 (1).ipynb |
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# + [markdown] id="7UpxgYfOmzh9"
# # Solution: Convolution and Pooling
#
# [!... | 2.1.4 - Project - Convolution and Pooling/solution_convolution_and_pooling.ipynb |
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import numpy as np
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import seab... | jupyter_english/projects_indiv/cancer_benign_or_malignant_nikolai_timonin.ipynb |
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# # Machine Learning used for Asset Allocation: Multi-... | AlphaWave Data Machine Learning used for Asset Allocation example.ipynb |
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# # Chapter 16
# + [markdown] tags=[]
# *Modeling and... | chapters/chap16.ipynb |
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# # Intro notebook
#
# Some important links to keep op... | extras/amld/notebooks/solutions/0_intro.ipynb |
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# %matplotlib inline
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styl... | sat_collocation/.ipynb_checkpoints/viirs_l2p_image-checkpoint.ipynb |
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# # Results with Merged Dataset
# #### Q5: For all of ... | 2_Intro_to_data_analysis/Data_Analysis_Case_Study_2/results_merged.ipynb |
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# The time series of a chemical concentration necessar... | docs/rxd-tutorials/initialization.ipynb |
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# <a rel="license" href="http://creativecommons.org/li... | KnapsackProblem.ipynb |
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# #### 2) Training Decoders in Practice
#
# Now that w... | example_notebooks/2) Training Example.ipynb |
# -*- coding: utf-8 -*-
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class Solution:
def lengthOfLIS(self, nums: List[i... | medium/longest increasing sequence.ipynb |
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# # *Quick, Draw!* GAN
# * code based directly on [Gr... | notebooks/gans/generative_adversarial_network.ipynb |
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# # 12.4.3 Models with increments
#
# The following sc... | 12_PreventiveMaintenance/12_04_DegradationModels/12_04_03_ModelsWithIncrements.ipynb |
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pip install keras
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from PIL import Image
import os... | image_analysis_CNN_binary_2015~2020.ipynb |
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import torch
import numpy as np
import torch.nn as nn
xr... | my-work/deepbi/parse_image_test.ipynb |
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# # Data profiling
#
# Automatic data profiling using... | notebooks/analysis/profiling/pandas_profiling.ipynb |
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# # Exercise notebook :
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import warnings
warnings.... | Caroline WT-043-2021/Data Analysis-Pandas-2/16.ipynb |
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# # Chapter 14
# + [markdown] tags=["remove-cell"]
# ... | jupyter/chap14.ipynb |
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import time
from typing import Callable, Dict, Tu... | Tarea 3/src/Tarea3.ipynb |
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# # Container Basics for Research
#
# In th... | notebooks/container/container-basic.ipynb |
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# ## Survival Data
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from sksurv.datasets import lo... | Scikit-Survival.ipynb |
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import os, sys
currentdir = os.path.dirname(os.get... | src/results/results_summary.ipynb |
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# ## Install Required Packages
# # Practical and Cons... | .ipynb_checkpoints/Practical and Consistent Estimation of f-Divergences-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Demo1.ipynb |
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# ## Creating a script to parse blast files of custom ... | notebooks/blast_file_parsing_dev.ipynb |
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# earth engine
import ee
import geemap.eefolium as... | EarthEngine/HOLC Grades and Environmental Conditions with EarthEngine.ipynb |
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# + [markdown] id="l_O6aR86YcW3"
# # Using SVM to pred... | svm/old_notebooks/SVM_regression_Multi_output_XRF.ipynb |
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# [<NAME>](https://orcid.org/0000-0001-7225-9992),
# P... | laplace_system_analysis/bodeplot_example_approximations_pzmaps3D.ipynb |
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# # Comparing cell states
#
# The purpose of this note... | Notebooks/Comparing cell states.ipynb |
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# Back to the main [Index](../index.ipynb)
# # Ontolo... | examples/notebooks/widgets/widgets_ontology_search.ipynb |
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# # Data Visualization
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# + id="3b7edccd"
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class Dog:
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# # Loop Condition
# ## Imports
import sys
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# %matplotlib inline
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# # Tempo Multi-Model Introduction
#
# ![architecture]... | docs/examples/multi-model/README.ipynb |
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# Load packages to be used:
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# ### x lines of Python
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# + run_control={"frozen": true} editable=false deleta... | Which Debts Are Worth the Bank's Effort_/notebook.ipynb |