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# # Домашняя работа №8
# # Студент: <NAME>
import num... | hw08/hw08.ipynb |
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import numpy as np
import numpy.testing as npt
import ... | notebooks/development/02_21_18_updating_test_functions.ipynb |
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# %config InlineBackend.figure_formats = ['svg']
... | python/notebooks/RemoteExperiment.ipynb |
'''
Example implementations of HARK.ConsumptionSaving.ConsPortfolioModel
'''
from HARK.ConsumptionSaving.ConsPortfolioModel import PortfolioConsumerType, init_portfolio
from HARK.ConsumptionSaving.ConsIndShockModel import init_lifecycle
from HARK.utilities import plot_funcs
from copy import copy
from time import time
i... | examples/ConsumptionSaving/example_ConsPortfolioModel.ipynb |
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# # Flow Chart Generator
... | content/backgrounds/Flowchart Generator.ipynb |
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from sklearn import datasets
from sklearn import m... | Lec 15 Naive Bayes Questions/Ma'am/gaussian.ipynb |
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# # A software bug
# ## Problem Definition
# You are u... | docs/source/CLP/solved/A software bug (Solved).ipynb |
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# # Early Stopping
# %reload_e... | notebooks/04-early-stopping.ipynb |
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# %matplotlib notebook
from collections import Co... | notebooks/glia_analysis.primary_lda.ipynb |
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from scratch.logistic_regression import tuples
fro... | Logistic_Regression.ipynb |
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# # Project Milestone -- 2
#
# ## Group 1 -- SARSA
#
#... | Milestone2.ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | Untitled.ipynb |
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# <img src="https://i.creativecommons.org/l/by-nc-nd/3... | Methodologie-DILLMANN.ipynb |
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# <center><img src="http://i.imgur.com/sSaOozN.png" wi... | S1_A_Py_dataStructures.ipynb |
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import autoreg
import GPy
import numpy as np
import sc... | examples/example.ipynb |
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# ## Question Detector Notebook Contents
# - [How can ... | examples/question_detector.ipynb |
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# <!--BOOK_INFORMATION-->
# <a href="https://www.packt... | notebooks/05.03-Using-Decision-Trees-for-Regression.ipynb |
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# Extract samples of gambiae and coluzzii from sequenc... | work/8_ag1k_analysis/0_import_seq_data.ipynb |
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# # 教學目標:
# 了解 Padding 的作法
#
# 了解 Pooling... | homeworks/D095/Day95-CNN_Pooling_Padding.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplot... | overview_val10/overview_all_three_svm-linear.ipynb |
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# + id="0v8XUs2a_67p"
#6 - temperature
hora = 0
temperaturas_C = []
suma_tem... | 01_RampUp/week2/practices/06-temperature/your-solution-here/W206_Temperature-Cris.ipynb |
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# + jupyter={"outputs_hidden": false}
# %matplotlib in... | notebooks/04_run_similarity_queries.ipynb |
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d=int(input('Quantos dias o carro foi alugado? '))
r=f... | .ipynb_checkpoints/EX015 - Aluguel de Carros-checkpoint.ipynb |
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# name: conda-env-PRO... | workflow/creating_slabs/selecting_bulks/select_bulks.ipynb |
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from random import shuffle
import cv2
import uuid... | prepare_data/GRADE_3_PREPROCESSING.ipynb |
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# INFO
#
# ------------------------------------------... | corpus_generator.ipynb |
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# + [markdown] id="Xc53ZNVtt2DK" colab_type="text"
# **Imports**
# + id="-tB... | examples/gratings/reflective_grating.ipynb |
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# # Grover's algorithm examples
#
# This notebook has ... | tutorials/algorithms/08_grover_examples.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="01kP0XEgTJ-c" outputId=... | TF_Traditional_House_Classification.ipynb |
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# + [markdown] colab_type="text" id="6coq6... | 5. Web-scraping/web_scraping_1.ipynb |
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# # This notebook provides the functionality to build,... | CNN/CNN-model/MIMI-Paper-CNN-TCField.ipynb |
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import math
import pandas as pd
from langdetect import... | Scripts/categories_pretty.ipynb |
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# # <center>Models and Pricing of Financial Derivative... | FinMath/Models and Pricing of Financial Derivatives/HW/HW_02_11510691_fixed.ipynb |
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import pandas as pd
import numpy as np
s1 = np.ra... | pandas_dataFrame_eleman_islemleri.ipynb |
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# # Metapath Rank Com... | explore/metapath_rank_comparison.ipynb |
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# # Monitoring Python Applications with Elastic APM
#... | Monitoring Python Applications with Elastic APM.ipynb |
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import axon
from decimal import Decimal
from datetime... | examples/readme.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="ht... | pacotes_carga_dados.ipynb |
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# <a href="https://colab... | notebooks/bt_edmonds_karp.ipynb |
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import matplotlib.pyplot as plt
# %matplotlib inli... | Kaggle_Github/Genetic Variant Classification.ipynb |
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import os
import pandas as pd
from newsapi import News... | code/crypto_sentiment.ipynb |
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# # Language Filtering
# import packages
import panda... | 4_language_filtering.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/W3D3_OptimalControl/W3D3_Tutorial2.ipynb |
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# ## <b> Python basics <b>
# #### <b> Var... | 2_Geospatial_Python/notebooks/Geoscience_intro/02_basics.ipynb |
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# # Load and Explore Cifar10 Dataset
# *by <NAME>*
# <... | Advanced Computer Vision with TensorFlow/Code/8609_course-working-files/Section 1/Lesson 1.1/Dataset-Cifar10.ipynb |
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import angr
import angrcli.plugins.context_view
import an... | src/angr/tutorial/angr-workshop/hands_on/simproc_demo-checkpoint.ipynb |
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# # 1. CSS intro
# ## 1.1 Show css in markdown
# ```... | CSS/CSS_intro.ipynb |
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# ## 2021년 10월 12일 화요일
# ### BaekJoon - 단어순서 뒤집기 (Pyth... | DAY 501 ~ 600/DAY510_[BaekJoon] 단어순서 뒤집기 (Python).ipynb |
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# # Boolean Indexing
# +
import pandas as pd
import n... | Module 3/Chapter05/Chapter 5 Boolean Indexing.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | wonders_notebook_final.ipynb |
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# # Linearna regresija
# **Linearna regresija** preds... | 2019_2020/LinearRegression/Materials/linearna_regresija.ipynb |
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# # Introduction
# Import py_entitymatching package
i... | notebooks/guides/step_wise_em_guides/Data Profiling.ipynb |
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# # Simple MNIST
import tensorflow as tf
print(tf.__v... | notebooks/04 Classification (Simple MNIST).ipynb |
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import os
import qm
from entropylab import *
import num... | docs/hdf5.ipynb |
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# ## Distributions
# +
# #!pip install empiricaldist
... | 51_bayes_distributions.ipynb |
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import os
os.chdir("/gpfs/milgram/project/turk-br... | archive/Untitled7.ipynb |
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# # Gaussian Process
# #### Books / blog posts
# Gau... | gaussian-processes/regressor.ipynb |
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# # Loss Function
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# We can create a probability dist... | exercise_430.ipynb |
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# # Betweenness Centrality
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# Betweenness centrality... | road_network_analysis/CityScan_Betweenness_Centrality_and_Bearings.ipynb |
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from tkinter.filedialog import askopenfilename
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# # Basic usage of `pdpipe`
# So how does using `pdpipe` looks... | notebooks/basic_example.ipynb |
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# # Build and train a simple model
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# This is a noteb... | Demo-Model.ipynb |
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# <img alt="QuantRocket logo" src="https... | quant_finance_lectures/Lecture13-Maximum-Likelihood-Estimation.ipynb |
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import sys
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import scanpy as sc, scanpy
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# + [markdown] render=true
# # Incremental modeling ... | jupyter/Cloud Pak for Data v3.0.x/Incremental modeling with decision optimization.ipynb |
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import pandas as pd
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# # Fastai Environment Validation
# ... | custom-environments/fastai/env_validation.ipynb |
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# # 作業
# ### 用 digits (3個數字即可 , dataset.load_digits(n_... | Day_059_PCASample.ipynb |
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#sys.path.append('/content/drive/My Drive/A... | notebooks/demo.ipynb |
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# ## Without coordinates & noop channel
#
# Certain chart t... | docs/tutorial/01_12_without_coordinates_noop_channel.ipynb |
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# + [markdown] papermill={"duration": 0.01... | evaluations/sars-cov-2/4-query.case-200.ipynb |
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# ### FRClassifier.ipynb
#
# Copyright (C) ‹ 2019 › ‹... | tutorials/FRClassifier.ipynb |
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#changed options in tkinter
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# # Introduction to Dask
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# In this notebook, we'... | tutorials/using-dask/1.intro-to-dask.ipynb |
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# + [markdown] id="tDqNK9paSN_Y"
# # Saliency and Grad-CAM Examples
#
# [![Op... | 2.3.1 - CNN Visualizations/ei_saliency_and_grad_cam.ipynb |
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# %load_ext nb_black
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# # AMoC Hackathon Tasks 2021
#
#
# # 1. Longitudinal ... | notebooks/hackathon_tasks_overview.ipynb |
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# # Logistic and Linear Regression
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# In this noteboo... | Extras/Linear-and-Logistic-Regression.ipynb |
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# + [markdown] id="S6qNJ_JSlErv"
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# # Predict Function
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# After performing a parameter ... | 1. Predict Function, exercise.ipynb |
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# # Run colab 2021-01-07 ELECTRA(chinese-legal-electra-sm... | sanic_serving/electra_small/run_colab.ipynb |
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# # Keras Sequential Model 2
# ### Building a sequential model... | notebooks/1 intro_to_tensorflow/2.1b sequential_model_2.ipynb |
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# # **Tame your python**
#... | MachineLearning_DataScience/Demo19_KfoldClassificationWine.ipynb |
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# # `dscal(N, DA, DX, INCX)`
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# Scales a vector $\mat... | docs/level1/dscal.ipynb |
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# # Write Output to CSV
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# + colab={"base_uri": "https://localhost:8080/"} id="Y4kmqOoK2S-I" outputId=... | 10.ipynb |
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# # Sparameter and Power Data
# This notebook demonst... | Documentation/Examples/jupyter/Data_Transformation_Check_Standard.ipynb |
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# # Getting up to speed with Dask
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# ## Part 0: Getti... | 0_get_data.ipynb |
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# # Partial Dependence Plot
#
# ## Summary
#
# Partial... | docs/interpret_docs/pdp.ipynb |
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# + [markdown] colab_type="text" id="rNdWfPXCjTjY"
# ##### Copyright 2019 The... | site/zh-cn/tutorials/structured_data/feature_columns.ipynb |
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# # Strings in Python
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from pyspark.ml.regression import IsotonicRegression
f... | notebooks/Classification/Isotonic Regression/IsotonicRegr-libsvm.ipynb |