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import numpy as np
import matplotlib.pyplot as plt
imp... | Semi-supervised-and-probabilistic-classification-in-SHM-MSSP2020.ipynb |
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# + [markdown] id="a_VmAfWSBJs7"
# <img width=150 src=... | Sample/Day_03_Sample.ipynb |
# ## Applying the PPS to the Titanic dataset
# - This script shows you how to apply the PPS to the Titanic dataset
# - If you want to execute the script yourself, you need to have valid installations of the packages ppscore, seaborn and pandas.
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import pandas as pd
import seaborn as sns
import ppscore as pps
# -... | examples/titanic_dataset.ipynb |
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# ## Reinforcement Learning Testing Notebook
# Attemp... | src/tutorial_nb/RL.ipynb |
# -*- coding: utf-8 -*-
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# # Conceptos Basicos
notas = c(38,50,40,30)
no... | contenido/Conceptos basicos.ipynb |
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# # Data transfer rates for the SLAC -> NERSC transfer... | datasets/datamover/nersc_mover_rates.ipynb |
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# ## Tableau Products :
#
#
# * <a href="https://publi... | Tableau_Introduction.ipynb |
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# # Conduit Mesh Blueprint Examples
# Simulation mesh ... | src/examples/tutorial/ascent_intro/notebooks/03_conduit_blueprint_mesh_examples.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Saltiest_Hacker_Exploration.ipynb |
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# # bqplot
# `bqplot` is a [Grammar of Graphics](http... | examples/Index.ipynb |
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// # OpEn Rust Examples: Multiple Obstacles Avoida... | tools_examples/OpEn/examples_rust/OpEn_Rust_examples_multiple_obstacles.ipynb |
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# # CLASS IN PYTHON
# Python is an object oriented pr... | Python/OOP/Class.ipynb |
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import pandas as pd
from datetime import datetime
#Doi... | CheckingIPs.ipynb |
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# hash: 5c4d2f1fdcd3716c7a5eea90ad07be30193490dd... | week4/day4/theory/apis/api_token.ipynb |
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# # Lateral fill concept
#
# When regidding datasets f... | docs/source/examples/lateral-fill-idealized.ipynb |
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# # Section 4.2 $\quad$ Vector Spaces
# ## Definition... | Jupyter_Notes/Lecture13_Sec4-2_VecSpaces.ipynb |
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# # Fourier transforms for reflectometry a... | 1_the_fourier_transform/fourier_transforms_for_reflectometry_analysis.ipynb |
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from os import walk
import pandas as pd
import num... | sergeif/Blender.ipynb |
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# # !pip3 install malaya -U --no-deps
... | chatbot/taskmaster/align-taskmaster2-others.ipynb |
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# + id="anHfyNSa7r4n"
# Install microdf
# !pip install git+https://github.com... | data/processed/Maryland_Dashboard_Age.ipynb |
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# # CLI
#
# CLI (Common Language Infrastructure) is an... | refs/virtual-machine/clr.ipynb |
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import pandas as pd
import numpy as np
import skle... | module_3/Module_suppl_notebooks/ML-2. Preprocessing.ipynb |
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import cv2
import numpy as np
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import numpy as np
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import math as ... | docs/notebooks/Static loads and deflection.ipynb |
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warnings.filterwarnings('ignore')
... | notebooks/vad_creator.ipynb |
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import pandas as pd
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A = np.array([... | Exercises/birth-control.ipynb |
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# MIT License
# Copyright (c) [2019] [<NAME>]
# ... | autoencoder_with_reiligh_1_2.ipynb |
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# %matplotlib inline
import sys, os
base_path = o... | notebooks/backdoor_watermark/CIFAR-10/asiaccs_logo_blackbox_cifar.ipynb |
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# # Basic data analysis
#
# You will learn how to **co... | 08/Basic_data_analysis.ipynb |
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import io
import numpy as np
import torch
from ch... | examples/nbs/09_chalice.ipynb |
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# # ... | start_here.ipynb |
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#
# Regression kriging
#... | Notebooks/regression_kriging2d.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} executionInfo={"elapsed": 1... | colab_code/MLM_Code.ipynb |
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# # MCIS6273 Data Mining (Prof. Maull) /... | homework/hw3a/hw3a.ipynb |
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# # 1.2 Image classification problem
# ## Image clas... | _build/jupyter_execute/ch01/ch1_2_video.ipynb |
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import numpy as np
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import matplot... | Data-Science-HYD-2k19/Topic-Wise/SCIPY/2. Linear Algebra Foundations.ipynb |
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import os
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import s... | code/el_salvador/20200612_mined_figures.ipynb |
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# # <NAME> Lab 1
import regex
import os
import collec... | 1/1-regexp.ipynb |
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# Runs the external program (DIFFaX) with the ... | MaterialsAutomated5-DIFFaXRefine/MaterialsAutomated5-LiveCoded.ipynb |
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# # Data Preparation - Vektorisierung
# Zi... | deprecated/Vectorization.ipynb |
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# %matplotlib inline
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import mat... | Product+Hunt+Prediction.ipynb |
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im... | notebooks/generate_scenarios.ipynb |
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# + cellView="form" colab_type="code" id="qmkj-80IHxnd... | projects/midcurvenn/simple_encdec/notebook_simple_encoderdecoder_2.ipynb |
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import pandas as pd
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im... | Notebooks_Part3/Area Charts for wars by region and type.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Dealing_with_Duplicates.ipynb |
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# Reproducing MEG Spectrum:
# ---
# This notebook show... | spectrome/notebooks/reproduce_MEG_spectra.ipynb |
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# name: python392jvsc74a57bd098b0a9b7b4eaaa670588a142fd0a9b87eaafe866... | database/tasks/How to compute the domain of a function/Python, using SymPy.ipynb |
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from netCDF4 import num2date, Dataset as NetCDFFile
im... | Untitled.ipynb |
# -*- coding: utf-8 -*-
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# + colab={"base_u... | notebook/first/ex11_colab/ex11_train-checkpoint.ipynb |
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# Import
import epics
import numpy
im... | notebook/nb_data.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span class="tocSkip"></s... | notebooks/figures/Figure S7_Stationary phase RNAseq.ipynb |
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import cv2
import matpl... | recognize.ipynb |
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import pandas as pd
from splinter import Browser
from ... | Missions_to_Mars/scrape_mars.py.ipynb |
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# # Programming Bootcamp 2018
# # Lesson 7 Exercises
#... | class_materials/Intro2Pandas/2018/lab7_exercises_ANSWERS_2.ipynb |
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# !python --version
# + _uuid="8f2839f25d086af736a60e... | sinhala-test.ipynb |
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# # Imports
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import pandas as pd
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# + [markdown] tags=["remove_cell"]
# # 量子とは何か？
# + t... | i18n/locales/ja/what-is-quantum.ipynb |
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import os
from pymongo import MongoClient
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# # Transformers, what can they do?
# Inst... | course/chapter1/section3.ipynb |
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# # Comparison of arrival direction and joint ... | original/3_fits_to_simulations/arrival_vs_joint/TA/arrival_vs_joint_TA_2FHL.ipynb |
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from moviepy.editor import *
import multiprocessing
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# ## 1. What is Jupyter Notebook?
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import lmdb
import example_pb2
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# +
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# <img src='https://raw.githubusercontent.com/autonomi... | examples/Hyperparameter Optimization with Keras for the Iris Prediction.ipynb |
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# **File System Methods**
# **1. [get the current wo... | 17. Adv Python OS module/02. Various OS operations in Python.ipynb |
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# # Linear Regression [Predict Admission Dataset]
# ... | Lec 10 Linear Regression Question/Linear Regression EX1.ipynb |
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from IPython.core.display impor... | Ternary plots.ipynb |
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from pkasolver.que... | notebooks/query_example.ipynb |
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# # Generate a Noise Model using Bootstrapping
#
# Her... | examples/Convallaria/0b-CreateNoiseModel (With Bootstrapping).ipynb |
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# Dependencies
from bs4 import BeautifulSoup
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# # T1547.008 - LSASS Driver
# A... | playbook/tactics/privilege-escalation/T1547.008.ipynb |
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# ## Building word2vec model using Gensim
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# ## Periodic boundary conditions
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# + [markdown] deletable=true editable=true
# # Quantization aware training i... | courses/machine_learning/deepdive2/production_ml/labs/training_example.ipynb |
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# + id="CSwcin58Rg4-" colab={"base_uri": "https://loca... | Notebooks/trainings/Train unsup-simcse-roberta-base.ipynb |
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# <a href="http://cocl.us/pytorch_link_top">
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# # Generator(生成器)
#
# `Generator` functions allow you... | Python/03_coroutine/01_generator.ipynb |
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# + [markdown] slideshow={"slid... | 28_zurcher.ipynb |
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# ### 2020 Lavickova et al. A self-regenerating sy... | notebooks/model_plots_concentration_timeseries.ipynb |
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i... | model_training.ipynb |
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# # 1. Numpy Boolean Array Indexing
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# # Quora Insincere Questions Classification
# ## Con... | Lab 5/quora.ipynb |
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# %%HTML
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# + [markdown] id="view-in-github" colab_type="text"
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# In the previous notebook, we showed how QAOA can app... | qiskit_version/08_Sampling_a_Thermal_State.ipynb |
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# # Iterators and Generators
# In this section of the... | 11-Python Generators/01-Iterators and Generators.ipynb |