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## Startup the Jupyter Server based on FastBook fi... | EnvSetup.ipynb |
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# # library
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# # %%capture
# # # !pip install -q n... | richx86/notebook/TCNN_jarvis_120th.ipynb |
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# # Master Prepare Notebook
#
# Deze notebook wordt ge... | notebooks/data_kwaliteit_analyse.ipynb |
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# # Extended Kalman Filter
#
# EKF(Extended Kalman Filter、拡張カ... | ekf/2D_Extended_Kalman_Filter.ipynb |
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# cocalc:
# description: Open-source mathemat... | crypto/mini-A3S/solution.ipynb |
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# # 📝 Exercise
# **What is the mome... | book/IntroExercise2.ipynb |
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# # Web automation
# ## Beautiful Soup
# https:... | web_automate.ipynb |
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# + id="S4IFQkiZWhlb" colab_type="code" colab={}
import pandas as pd
import n... | D4.ipynb |
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import gym
import os
import numpy as np
import matplot... | 01_FrozenLake/FrozenLake101.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | AverageFilter_Video_Stablization.ipynb |
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# Copyright (c) Micro... | notebooks/sdk-v2-notebooks/classification-bank-marketing-all-features/SDKv2-auto-ml-classification-bank-marketing-all-features.ipynb |
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# %matplotlib inline
#
# # Finding the minimum of a s... | _downloads/plot_optimize_example1.ipynb |
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# # MNIST With SET
# This is an example of training an... | Experiment_2.ipynb |
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# \# Developer: <NAME> (<EMAIL>) <br>
# \# 25th Januar... | 3) semi-supervised_text/1.TSVM.ipynb |
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# ### Question: When during the day is most dangerous?... | When during the day is the highest number of accidents.ipynb |
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# + [markdown] id="QTWUZd1xkM6z" colab_type="text"
# # Example #1: Neural Net... | machine_learning_example_sinx.ipynb |
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# # Car Features and MSRP Dataet
#
# - `Number of Inst... | Car Price Prediction (without using Scikit-learn).ipynb |
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# # Dictionaries & APIs
#
# This notebook introduces P... | activities/Python 106 - Gather Metadata (APIs & Dictionaries).ipynb |
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# %load_ext autoreload
# %autorelo... | notebooks/01-explore.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | lab/03 - Run Fleet.ipynb |
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# Create a T-S diagram using the CTD meas... | python/figure5b_CTD_TSdiagram.ipynb |
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import numpy as np
import pandas as pd
from sklearn.mo... | Cancer_detection.ipynb |
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# # Toxic Spans Detecti... | notebooks/baselines/toxic_spans_mym.ipynb |
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# # Customizing Matplotlib: Configurations and Stylesh... | #3 Data Manipulation & Visualization/Visualization/#3.2.12 - Settings and Stylesheets.ipynb |
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# **Note:** This notebook requires interactions with t... | Foundations_of_Private_Computation/Homomorphic_encryption/Duet and TenSEAL - Data Owner.ipynb |
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# ### Escritura de una variable con texto a un archivo... | Carlos David Barragan Caballero-5- Archivos.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/05_LSTM_Text_Classification.ipynb |
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# # Chess Game
#
# Chess is a board game where two pla... | .ipynb_checkpoints/ChessGame-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Copy_of_Untitled0.ipynb |
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import cv2
import numpy as np
src = cv2.imread('.... | Canny edge detection.ipynb |
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# # 作業 : (Kaggle)房價預測
# +
# 做完特徵工程前的所有準備 (與前範例相同)
imp... | Day_020_HW.ipynb |
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# # HOW MANY DAYS IN THE MONTH DID EACH MA... | notebooks/1_machine_working_days.ipynb |
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# %matplotlib inline
#
#
#
# # Encoding
#
#
# Encode... | doc/source/auto_examples/01_paper/plot_paper_encoding.ipynb |
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# # Importing modules
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import pandas as pd
import... | happiness_correlation/happiness_confirmed.ipynb |
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# # Exploratory Data Analysis
#
# To get started, ... | python-sdk/experimental/using-xgboost/1.local-eda.ipynb |
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import os
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i... | notebooks/generate-gaussian-mixture-boltzmann-machine-relaxations.ipynb |
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# %matplotlib inline
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import xa... | notebooks/raw_notebooks/jluo_init_sst.ipynb |
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def fact(n):
if n == 1:
return 1
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# <h1 style="padding-top: 25px;padding-bottom: 25px;te... | content/homeworks/cs109a_hw1_209/cs109a_hw1_209_submit.ipynb |
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# + [markdown] hideCode=false hidePrompt=false
# # Num... | numpy/SciPy Numpy Extended Lectures Part 2 - Numerical operations on arrays.ipynb |
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# # Generate or Load, and Prepare data.csv for Code Pr... | examples/generatedata.ipynb |
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# + id="55it2bOM0Fs6"
#Replace Manual version of Logis... | LAB-7/058_07.ipynb |
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import numpy as np
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import matp... | playground/first_light_vs_first_detection.ipynb |
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import pandas as pd
import pickle
import sqlite3
impor... | data/Forecast/.ipynb_checkpoints/Parameters-checkpoint.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# We ... | bonus-2-one-more-thing.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | CodTecnologia.ipynb |
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# +
import os
import json
import clang.cindex
import c... | data_processing/chrome_deb_line_level_graph_for_ggnn.ipynb |
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# While Loops and Input
# ===
# While loops are really... | notebooks/while_input.ipynb |
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# ## Tutorial showing how to create Parcels in Agulhas... | parcels/examples/tutorial_Agulhasparticles.ipynb |
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# ## License
#
# Copyright 2020 Google LLC
#
# License... | scripts/buildkite/analyze_jobs.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | demonstration.ipynb |
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# Source: https://github.com/thushv89/attention_keras/... | translation_with_attention.ipynb |
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# title: "Linear Regression Using Scikit-Learn"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "How to conduct linear regression in scikit-learn for machine learning in Python."
# type: technical_note
# draft: false
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import numpy as np
import matplotlib.pyplot as plt
imp... | 7. Model Specification.ipynb |
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# # Pandas
# Pandas is an open-source Python Library... | Day5/Pandas Part 1.ipynb |
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# + id="2R3ZKfvg8Oo-" colab_type="code" outputId="eebaa1d7-7bcf-4ad7-eb8c-f9a... | Dataset_Preparation/Assignment15A_Depth.ipynb |
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# As part of the work to make it easier for dataset de... | notebooks/Exploring_relationship_between_licenses_and_Terms_metadata_in_Dataverse_repositories/Exploring relationship between licenses and Terms metadata in Dataverse repositories.ipynb |
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# <a href="https://colab... | Linear_Regression_With_statsmodels.ipynb |
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# # Investigation of coalesence for LOW data
# Baseli... | examples/arl/imaging-coalesce.ipynb |
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import pandas as pd
df = pd.read_csv("spam.csv")
df
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# <img src="https://nlp.johnsnowlabs.com/assets/images... | jupyter/enterprise/healthcare/Clinical-Entity-Assertion.ipynb |
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def allInOne(path, i, rPathsArr, ... | evaluation/notebooks/resilience/plots_zoo.ipynb |
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import openmoc.plotter as plotter
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# + colab={"base_uri": "https://localhost:8080/", "height": 203} i... | IoT course/plotting.ipynb |
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# # Importing Dependencies
#
# ### Instance Segmentati... | demos/transforming_annos-Copy1.ipynb |
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# name: python37664bitvelapipenvde09592071074... | ds/practice/daily_practice/20-07/20-07-10-192-fri.ipynb |
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# + deletable=true editable=true
impo... | neural-net-from-scratch/Neural Net - From Scratch.ipynb |
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# # Background
# Deep learning has shown that being ab... | 04-training/Distributed_Training.ipynb |
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/ + [markdown] cell_id="00000-85a00917-3001-4952-8ad8-5e13754d6cec" deepnote_cell_type="markdown" tags=[]
/ ## National Disaster Data
/ + [mar... | cleaning_scripts/FEMA_Data.ipynb |
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# <a href="https://colab... | fashion_minist_mlp.ipynb |
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# ## Simulating spectral graph model freq... | spectrome/notebooks/run_model_example.ipynb |
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# + [markdown] nbgrader={"grade": false, "grade_id": "... | listas/icd-lista-02.ipynb |
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import numpy as np
import pandas as pd
import csv_figu... | GEGU/figures/Ruby.ipynb |
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# # Week 3 - Functions
# The real power in any progra... | in-class-exercises/week-4 in-class exercises functions.ipynb |
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"""Omid55"""
# # Imports
#Omid55
import requests
imp... | Experiment4/build_dataset_on_all_matches_2016_STAT_TRAINING_TEST_win_ratio_difference.ipynb |
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from tess_sip import SIP
import lightkurve as lk
impo... | docs/TESS-SIP.ipynb |
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# ## Assignment 3 ------ Outlier
# ## Group 102
# ## ... | A3/.ipynb_checkpoints/outlier_hzhu (1)-checkpoint.ipynb |
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# # Ex 1-1 by Keras in Tensflow 2.0
# Keras가 이제 텐서플로의 기본 상위 인터... | tf2/ex1_1/TF2_ex_1_1.ipynb |
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# # Import libraries
from pyspark.sql import SparkSes... | spark/Tree Classifier - Predict College Type.ipynb |
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# #!pip install ewl
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fro... | examples/payoff_function_plot_3d.ipynb |
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# <img src="images/logodwengo.png" alt="Banner" width=... | Wiskunde/GrafiekenFuncties/0400_RechtenPraktisch.ipynb |
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# + [markdown] id="5dVodh7LjlNy"
# # Automatic Differe... | labs/lab-1/optional/.ipynb_checkpoints/what-is-autodiff-checkpoint.ipynb |
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# <a href="https://colab... | notebooks/template.ipynb |
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# ## Training a Document ... | examples/keras/document-denoiser/trainer.ipynb |
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train_csv_file_path = '../DataSet... | LinearSVC/LinearSvcModel.ipynb |
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# + [markdown] id="MVCnBK1T1jHY" colab_type="text"
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# ![Egeria Logo](https://raw.githubusercontent.com/odp... | open-metadata-resources/open-metadata-labs/conformance-testing-labs/run-ui-test-server.ipynb |
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from sympy import *
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data = '''
<person>
<name>Dave</name>
<surname>Pic... | Chapter07/.ipynb_checkpoints/Exercise 7.07-checkpoint.ipynb |
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# # Intro
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import requests
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# ## 12: Convolutiona... | day12_Convolutional_neural_networks/12_cnn_seminar.ipynb |
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# ### local varible of ... | 12. Python Function/12. Scope and Lifetime of variables.ipynb |
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# # A Double Pendulum in Golf
#
# By <NAME> and <NAME>... | code/DoublePendulumFinal.ipynb |
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from gurobipy import *
# Importar librerias
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