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import cv2
import numpy as np
import mat... | superviselySDK/help/tutorials_legacy/02_unet_inference/src/02_unet_inference.ipynb |
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# + [markdown] id="PXzooPBq7ICh"
# ![JohnS... | tutorials/Certification_Trainings/Healthcare/7.Clinical_NER_Chunk_Merger.ipynb |
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# ### Basic GAN
#
# * GAN-training: as per Goodfellow ... | Basic GAN (MNIST demo).ipynb |
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#default_exp core
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# # nbdev tutorial 01
#
# >... | 00_core.ipynb |
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***Support Vector Machine***
- Used for both classific... | Day11_SVM/Support_vector_machine.ipynb |
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# # Nigerian Music scraped from Spotify - an analysis
import pand... | 5-Clustering/1-Visualize/notebook.ipynb |
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import os
# use CPU or GPU
os.environ['KERAS_BACKEND']... | models-evaluation.ipynb |
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# [Table of Contents](./table_of_contents.ipynb)
# # ... | 13-Smoothing.ipynb |
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# !head Fremont.csv
import pandas as pd
data = pd.rea... | test_notebook_bike_analysis.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | BasisExpansion.ipynb |
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# # Command Line Tools
#
# As mentioned before, runnin... | tutorial/docker/notebooks/03-Command-Line-Tools/03-Command-Line-Tools.ipynb |
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# # Supply Network Design 1
#
# ## Objective and Prere... | documents/Beginner/SupplyNetworkDesign1&2/supply_network_design_1.ipynb |
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# # Images
#
# La grotte de Lascaux est temoin d'une d... | doc/rep/image.ipynb |
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# # Notebook per estrarre numpy arrays da un netcdf
# ... | WRF/WRF_Simulations/netcf_get_arrays.ipynb |
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# # Confidence interval approximations for the AUROC
#... | _rmd/extra_AUC_CI/auc_sim.ipynb |
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# # K-means clustering demo
# ## 1. Different distanc... | kmeans_clustering_demo.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] id="cac<PASSWORD>" tags=[]
# # 응용... | _notebooks/2022-05-13-as-hw.ipynb |
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from html_to_nena import html_tostring
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# Characte... | parse_nena/archive/ToStandardText.ipynb |
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# ## Titanic exercise
#
# Titanic dataset. Mоже да се ... | 02-hw-titanic-exercise.ipynb |
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#default_exp data.loa... | nbs/02_data.load.ipynb |
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vernum = 11
n_enabled = True
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# noexport
import o... | identify_domain_training_data_v11_all_insession.ipynb |
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# # Linear Regression
# import packages
# %matplotlib ... | image_classification/linear_regression.ipynb |
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# # 选择
# ## 布尔类型、数值和表达式
# 
# - 注意：... | 7.18.ipynb |
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import Oger
import numpy as np
from sklearn.datasets i... | code/Jupyter/Untitled.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Course3-Probabilistic_Deep_Learning_with_Tensorflow2/week2_Maximum_likelihood_estimation.ipynb |
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# # Natural Language Processing
# The essence of Natu... | Natural Language Processing.ipynb |
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# # Project 2 : Reacher (Continuous Control)
# ## Pre... | p2_continuous-control/Reacher_Project.ipynb |
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import numpy as np
def mean_squared_erro... | ch4/Untitled.ipynb |
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# # 基本程序设计
# - 一切代码输入，请使用英文输入法
# ## 编写一个简单的程序
# - 圆公式... | 7.16.ipynb |
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# ## 2021년 8월 4일 수요일
# ### BaekJoon - NN (Python)
# ##... | DAY 401 ~ 500/DAY443_[BaekJoon] NN (Python).ipynb |
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# 그래프의 구성
## 노드(= node, vertex, 꼭지점) 집합 V
## 엣지(= ... | data-structure/graph.ipynb |
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# + [markdown] id="5po4DW_CLM9Y" colab_type="text"
# ## `defaultdict`
#
# Cri... | Notebooks/Dictionaries_DefaultDict.ipynb |
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# The dynamical equations are given as
#
# \begin{alig... | examples_mft/examples_1storder/ex3-SEI5R-network.ipynb |
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# Import de Bibliotecas
import pandas as pd
import mat... | notebooks/exploratory/eda_boletim.ipynb |
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# # Named Entities Recognition with NLTK
# - Named ent... | 14 Text und Machine Learning/2.3 Named Entities Recognition.ipynb |
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# # 7. Conclusions and Future Considerations
#
# [inde... | Chapters/07.Conclusions.ipynb |
# -*- coding: utf-8 -*-
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# ## PART A
#
# In the fac... | week06/Problem 3 - Facility Location Problem.ipynb |
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# # Extract from JSON and XML
#
# You'll now get pract... | lessons/ETLPipelines/2_extract_exercise/2_extract_exercise-solution.ipynb |
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# name: python361064bitamltemplatecon... | mnist_fashion/02_exploration/mnist_fashion.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | investor_sentiment.ipynb |
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import matplotlib.pyplot as plt... | 45 channel_1sec_deltapower.ipynb |
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# %%time
from dask.distributed import... | benchmark/.ipynb_checkpoints/dask-benchmark-checkpoint.ipynb |
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# + nbsphinx="hidden"
import pandas as pd
pd.set_... | docs/datasources/MatchHistory.ipynb |
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# + [markdown] id="5iEWwOxUwKkL"
# # **Water Cloud Model calibration for soyb... | Chapter05/Sec552/WCM_calibration_Springer.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | MeLi_BaseGen/MeLi_BaseGen_V3.ipynb |
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# + [markdown] colab_type="text" id="9zruyI72dBd2"
# #... | Pytorch-Zero-to-GANs/01_tensor_operations.ipynb |
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# # Implementation of Softmax Regression from Scratch
... | Ch05_Linear_Neural_Networks/Implementation_of_Softmax_Regression_from_Scratch.ipynb |
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import numpy as np
import flopy
import flopy.utils.bin... | main_ERC.ipynb |
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# [![Open In Colab](https://colab.research.google.com/... | colabs/KERAS_OCR_TFLITE.ipynb |
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# # School DataFrame
#
# #### Version: 3
# #### Creati... | 02_notebooks/01_creating_dataframes/create_school_df_v3.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Clustering_MeanShift.ipynb |
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# # 0 - Information
# +
# Re tester l'upload de l'ent... | Code/Pierre_Test.ipynb |
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# <table>
# <tr><td align="right" style="backgroun... | bronze/.ipynb_checkpoints/B50_Superdense_Coding_Solutions-checkpoint.ipynb |
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# + id="s7bf1mZBKZL2" colab_type="code" colab={"base_uri": "https://localhost... | App/theApplication.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
... | exam_project_bloom_filter/Bloom Filter.ipynb |
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import numpy as np
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import tarfile
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# # Object Oriented Programming
#
# ## Basic Python
#
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# In this worksheet we show how to connect to a BaseX database con... | tools/Explorer/Jupyter notebooks/Method Visibility.ipynb |
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# # WESAD Dataset Analysis
import numpy as np
import ... | WESAD/WESAD_Analysis.ipynb |
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# name: python388jvsc74a57bd0db8c33e37b4d85990d3830e1b454a98f3... | notebooks/biopython/03-store-query.ipynb |
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# # SCF
# ## Imports
import numpy as np
import scipy... | 02_SCF/basics/scf_pyscf.ipynb |
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import soundfile as sf
import random
import os
import ... | Preprocessing.ipynb |
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# ## Train model using PCA Components
# ##... | 6 PCA/BikeSharingRegression/sdk1.7/biketrain_xgboost_localmode_pca.ipynb |
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# # Local Lengthscale GP with PyMC
#
# Author: [<NAME>... | explain-ml-book/notebooks/2021-03-17-lls-gp-pymc3.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | teaching-evals/visualizing_teaching_evaluations.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:eu-west... | Chapter 08/R_custom/R on Boston Housing Dataset - Train and predict with Generic Estimator.ipynb |
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# # Импорт библиотек
# +
import datetime
import itert... | sibur-challenge-2019-petf-v2/model3_P4_7745_Pet_35.ipynb |
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# <div class="contentcontainer med left" style="margin-left: -50px;">
# <dl class="dl-horizontal">
# <dt>Title</dt> <dd> Curve Element</dd>
... | examples/reference/elements/bokeh/Curve.ipynb |
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# <font size="+3">Time-series Generative Adversarial N... | ml4trading-2ed/21_gans_for_synthetic_time_series/02_TimeGAN_TF2.ipynb |
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# +
import numpy as np
import matplotlib as mpl
import... | notebooks/orbit_massive.ipynb |
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# # Limits
# ## `Press Keys` on MacOS/Chrome
# While ... | docs/LIMITS.ipynb |
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# +
f = open('int.in')
n = int(f.readline())
l = []
fo... | Python (Probleme)/Int.ipynb |
# # 📝 Exercise M6.04
#
# The aim of this exercise is to:
#
# * verify if a GBDT tends to overfit if the number of estimators is not
# appropriate as previously seen for AdaBoost;
# * use the early-stopping strategy to avoid adding unnecessary trees, to
# get the best statistical performances.
#
# We will use the C... | notebooks/ensemble_ex_04.ipynb |
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import numpy as np
x = np.load('yaho... | python_notebooks/attention plot.ipynb |
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# name: python37764bitcccondaf9be1bff0edc45b89bc... | material/03_raices_1D/ejemplo_biseccion_ipf.ipynb |
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# + [markdown] id="FhGuhbZ6M5tl" colab_type="text"
# ##### Copyright 2018 The... | tutorials/keras/basic_regression.ipynb |
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# +
# import tensorflow.compat.v1 as tf
# from tensorf... | np_deconv copy.ipynb |
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# # Toy (counter-)example for anomaly decomposition
#
... | notebooks/Decomposition_counter-examples.ipynb |
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# # Tuple
# ### Tuple Creation
# +
#Example
t1=(1... | ITWS 2/4_Data Structure.ipynb |
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import tensorflow as tf
m1 = tf.constant([[2,2]])
m2 ... | tf_mofan/2_tf.ipynb |
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# + [markdown] id="ISubpr_SSsiM"
# ##### Copyright 2020 The TensorFlow Author... | site/zh-cn/guide/intro_to_modules.ipynb |
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# ## Prepare Datasets for Joins
... | 06_joining_data_sets/02_preparing_data_sets_for_joins.ipynb |
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# + [markdown] papermill={} tags=["naas"]
# <img width... | HTML/HTML_Create_a_website.ipynb |
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# + [markdown] cell_id="f7d60a22a16b4bc89b1a1f66427c1252" deepnote_cell_height=323.1875 deepnote_cell_type="markdown" tags=[]
# # Tech Career ... | _notebooks/2022-05-03-salaryInfo2.ipynb |
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import os
import librosa
import librosa.display
... | onset_detection/funcoes_novidade.ipynb |
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# + [markdown] id="ZrwVQsM9TiUw"
# ##### Copyright 2019 The TensorFlow Probab... | site/en-snapshot/probability/examples/A_Tour_of_TensorFlow_Probability.ipynb |
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# # Routing, speed imputation, and travel times
#
#... | osmnx-examples/02-routing-speed-time.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # L... | slides/3a-oop.ipynb |
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import pandas
df = pandas.read_excel('house_price.xlsx... | Lab 2 Notebook.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | ECAI_2020_KGE_Tutorial_Hands_on_Session.ipynb |
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# # Plotting Position vs Time
# In this notebook you w... | src/1. Odometers, Speedometers and Derivatives/1. Plotting Position vs Time.ipynb |
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# <img src="images/Callysto_Notebook-Banner_Top_06.06.... | Mathematics/Reflections/reflections.ipynb |
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from __future__ import print_function, division
#If y... | week7_pomdp/practice_theano.ipynb |
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# # Signal Subspace Projections (SSP) for removing art... | 2017_03_Brussels/3a-Preprocessing_SSP.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Tutori... | tutorials/coupled_nets_h2_p2g2p.ipynb |
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# # Simple... | dockerfile-example.ipynb |
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# Detailed spectra of astrophysical objects sometimes ... | doc/source/analyzing/analysis_modules/PPVCube.ipynb |
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# # Spectrum class example
# Simple example showing ho... | examples/1.spectrum_example.ipynb |
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# # Tutorial: Information Imbalance
# +
import matplo... | examples/notebook_on_information_imbalance.ipynb |