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import os, glob, json, spacy, pickle
import random
#... | notebooks/02_template_generation.ipynb |
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from lxml.html import fromstring
import requests
f... | analysis/analyze_proxies.ipynb |
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import pandas as pd
import nltk
tweets=pd.read_csv('Tw... | Twitter_sentiment_analysis.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | Python/statistics_with_Python/04_Exploring_Data_with_Graphs/Markdown_notebook/04_boxplot.ipynb |
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# !pip3 install geograpy3
import pandas as pd
import r... | notebooks/vis5conversion.ipynb |
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# ## Roll Options and Futures
#
# **IB-Ruby** provides he... | contract/notebooks/roll-options.ipynb |
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import os
import glob
base_dir = os.path.join('F:/0Sem... | malaria6_1_denseNet.ipynb |
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# # Validate Tiles
from IPython.core.display import d... | notebooks/validate_tiles.ipynb |
# # Hyperparameter tuning by randomized-search
#
# In the previous notebook, we showed how to use a grid-search approach to
# search for the best hyperparameters maximizing the statistical performance
# of a predictive model.
#
# However, a grid-search approach has limitations. It does not scale when
# the number of pa... | notebooks/parameter_tuning_randomized_search.ipynb |
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# + [markdown] colab_type="text" id="E08w9hc0TAbI"
# #... | notebooks/ekaba_full_biomedbert.ipynb |
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# %matplotlib inline
import matplotlib.pyplot ... | gan/mlz.ipynb |
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# + [markdown] pycharm={"name"... | PyTorch/NoteBooks/AIAA/AIAAwOHIF.ipynb |
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# ## Julia GASS
#
# Testing the GASS with Julia
#... | notebooks/.ipynb_checkpoints/GASS-inputs-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | source/workshop02.ipynb |
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# Copyright (c)... | algoEvals/sparsityBoxplot.ipynb |
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# #!pip install requests
# #!pip install beautiful... | Chapter02/02_02_web_scraping_intro.ipynb |
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# # Board creation
board = ['0','1','2','3','4','5','... | Tic-Tac-Toe.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | notebooks/Graphic_examples.ipynb |
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# # Crop ROI Labels
#
# Use the labeling in... | mini-crops/2020-04-05-CropROILabels.ipynb |
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# This cell is added by sphinx-gallery
# !pip inst... | docs/notebooks/fitting/2D_fitting/plot_4_NiCl2.2D2O_shifting-d.ipynb |
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# # Seaborn: jointplot
# +
import seaborn as sns
fro... | 13_jointplot.ipynb |
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# ## This example shows some utilities for post-proces... | examples/Notebooks/flopy3_Modflow_postprocessing_example.ipynb |
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# #!/usr/bin/env python
# coding: utf-8
import os
... | Script-008-RegrAn-5Subplots.ipynb |
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# # Optimisation numérique avec `scipy`
# *Prérequis ... | tutoriels/scipy_for_optimization.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | Pedestrian_deaths_dashbord_dev.ipynb |
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// ### Note
//
// ... | dl4j-examples/tutorials/04. Feed-forward.zepp.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Global_AI_Challenge_2.ipynb |
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# + pycharm={"name": "#%%\n"}
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# # user authentication
# list of employee names
empl... | Python week 12/.ipynb_checkpoints/Project 1-checkpoint.ipynb |
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# <div class="alert alert-block alert-success">
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# + colab={"base_uri": "https://localhost:8080/", "hei... | .ipynb_checkpoints/MovieLens dataset-checkpoint.ipynb |
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# ### Nome: <NAME>
# Orientações:
#
# 1 - Acesse a ba... | Desafio_Neurotech/Airbnb classifier.ipynb |
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# # Flame Temperature
#
# This example demonstrates ca... | .ipynb_checkpoints/flame_temperature_vrobin1-checkpoint.ipynb |
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# + [markdown] deletable=false editable=false
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# ### Bootstrap Sampling
#
# Below is an array of the ... | Practical_Statistics/Practical_Statistics/08_Sampling Distributions/Sampling Distribution - 24 - Bootstrapping.ipynb |
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pwd
ls
cd /
pwd
ls
cd home
ls
cd jupyter-nurlaura2
ls
... | homework/nurlaura23.ipynb |
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#File: crossValidation.ipynb
#Purpose: use cross valid... | Attribute_rank/crossValidation.ipynb |
# # Serializing
# For ahlive to work, data must be serialized into a standard format.
# ### serializing classes
# ahlive incorporates these classes to achieve this:
#
# ahlive class | input data type | use cases
# --- | --- | ---
# `ah.Array` | `collections.Iterable` | for single, unlabeled 1D arrays
# `ah.DataFrame` ... | docs/source/essentials/serializing.ipynb |
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# ### Markov Chain Monte Carlo and Bayesian Inference
... | notebooks/MCMC-BayesianInference.ipynb |
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# This code will be used to generate the table for... | Psychophysics/Assignment/create_stimuli_table.ipynb |
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# # Covid-19 analysis
# > Analyzing c... | _notebooks/2020-04-05-covid19-dashboard.ipynb |
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# # Geo-Spatial Visualisation
#
# ## ... | geo-vis.ipynb |
# +
# https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html
# http://www.pitt.edu/~naraehan/presentation/Movie+Reviews+sentiment+analysis+with+Scikit-Learn.html
# https://medium.com/@cristhianboujon/how-to-list-the-most-common-words-from-text-corpus-using-scikit-learn-da... | notebooks/book1/01/tfidf_demo.ipynb |
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# # Projection, Joining, and Sorting
# ## Setup
impo... | docs/source/notebooks/tutorial/3-Projection-Join-Sort.ipynb |
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# # TP3 : Clustering et word2vec - <NAME>
... | TP3/tp3.ipynb |
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# #!/usr/bin/env python
# coding: utf-8
#
########... | archive/Sec3_1/.ipynb_checkpoints/cGP_for_matmul_illustrative-checkpoint.ipynb |
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# # Fast Sign Adversary Generation Example
#
# This no... | example/adversary/adversary_generation.ipynb |
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# # Part 10: Federated Learning with Encrypted Gradien... | examples/tutorials/Part 10 - Federated Learning with Secure Aggregation.ipynb |
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# **Fecha** : 2021-06-28
#
# # Autograd: Diferenciació... | notebooks/001-Autograd-Tutorial.ipynb |
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class Solution(object):
def isPowerOfFour(self, nu... | algorithms/342-power-of-four.ipynb |
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# # Relatório de análise I
# ## Importando a base de d... | Pandas/1 - Base de Dados.ipynb |
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#
# This file contains the common functions and de... | open-metadata-resources/open-metadata-labs/common/environment-check.ipynb |
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# #!/usr/bin/env python
# coding: utf-8
# # Stom... | scdiag_gintopk_roc_tc-binary.ipynb |
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import networkx as nx
import numpy as np
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# ## 6. Groupwise Image Registration
# Groupwise regi... | examples/ITK_Example06_GroupwiseRegistration.ipynb |
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# ## Proble... | recursion/.ipynb_checkpoints/Last-index-recursion-checkpoint.ipynb |
# # Fine-tuning a model with the Trainer API
# Install the Transformers and Datasets libraries to run this notebook.
# !pip install datasets transformers[sentencepiece]
# +
from datasets import load_dataset
from transformers import AutoTokenizer, DataCollatorWithPadding
raw_datasets = load_dataset("glue", "mrpc")
c... | course/chapter3/section3.ipynb |
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# + [markdown] id="Ng2mJtpgIVZu"
# # <NAME>
# # Data Science & Business Analy... | Task_1_Simple_linear_regression.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'><img sr... | Data Science Resources/Jose portila - ML/02-Numpy/.ipynb_checkpoints/03-NumPy-Exercises-checkpoint.ipynb |
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from utils_nlp import Tools
tools = T... | NLP-Topic_Modelling.ipynb |
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# In this chapter we will create an ontology and popul... | tutorials/recipe_and_ontology/ontology/chapter.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Stock_price_detection.ipynb |
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# # Intro
#
# The goal of this notebook is to present ... | scratch_notebooks/.ipynb_checkpoints/ce_dice_focal-checkpoint.ipynb |
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# # Learning how to move a human arm
#
# In this tutor... | osim-rl/examples/legacy/train.arm.ipynb |
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# !pip3 install torch
import torch
# Creating a 1... | 0.1-pytorch-tensors.ipynb |
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# +
#Ejemplo de While
iteracion = 1
while iteracion <... | Bucles/.ipynb_checkpoints/While_Jupyter-checkpoint.ipynb |
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# # Multivariate Regression
# Let's grab a small litt... | MultivariateRegression.ipynb |
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# !pip install nltk
import nltk
nltk.download([
"... | teaching_material/session_12/gruppe_14/BILAG6, delanalyse 2.ipynb |
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# # Problem 2: Generative Adversarial Networks
#
# * *... | references/CSCI599-Assignment2-master/CSCI599-Assignment2-master/Old_p_ipynb_checkpoints/Problem_2-checkpoint.ipynb |
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from matplotlib import pyplot as plt
from imblearn.ens... | .ipynb_checkpoints/SubmissionNotebook-checkpoint.ipynb |
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# # import module
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import numba
imp... | D2Dmodel.ipynb |
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... | ml-workshop/src/Data-Wrangling-Workshop.ipynb |
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# name: python37664bitdjangoclitepipenvffd73afb54ae4cb6b9b8a... | docs/cli/commands/generate.ipynb |
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# https://docs.python.org/3/library/webbrowser.html
im... | n_day_python/SandBoxPyTwitter/2- Update Status aka Tweet.ipynb |
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# !pyNTCIREVAL
# !cat ../data/eval/q1.rel # 適合性評価ファイル... | codes/Exercise2_Daisuke_Kataoka.ipynb |
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# <center>
# <img src="https://gitlab.com/ibm/sk... | EDA with SQL.ipynb |
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# # Baseline Experiment 1: Training Decisi... | 3-Training_Experiment_Decision_Tree.ipynb |
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from shared.utils import load_mnist
import os
import numpy as... | ch15/convolution_mnist_low_level_api.ipynb |
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import pandas as pd
data = pd.read_csv('People_Covere... | NAACP/Entity_Recognition/Black_Names_Common_Words.ipynb |
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# Useful for debugging
# %load_ext autorel... | examples/fieldmap_reconstruction.ipynb |
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# +
## Get dependencies ##
import string
import math
... | GIR/tools/get_cmip6_info.ipynb |
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# +
#to do
#import packages
#upload txt file
#use pand... | Pentagon_Paper_Data_Cleaning/.ipynb_checkpoints/Txt_File_Cleaning_V02-checkpoint.ipynb |
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# %load_ext autoreload
# %autoreload 2
# *Make sure t... | tutorials/8 Full Design Flow Examples/Full_Chip_Design_01.ipynb |
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# + active=""
# <a href=\"https://colab.research.googl... | session-one/session_one_subject_questions/session_one_mathstat_questions.ipynb |
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fro... | Chapter_6/Wilks - Example 6.6 - Equation Development Using Forward Selection - Table A.1 - 14-JUN-2021.ipynb |
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# This chapter was added by me (<NAME>). My goal was t... | Course/18-Plotting.ipynb |
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from rdflib import Graph
document = "http... | src/Notebooks/ParseToXML.ipynb |
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from lenskit.metrics import dataGenerator
from lenskit... | Read_dummy.ipynb |
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# # Univariate Bijections
# ## Background... | tutorials/univariate_bijections.ipynb |
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# # Website notes and exercises
#
# A b... | lessons/website/website_notes_and_exercises.ipynb |
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# # C... | nbplain/01_conda_config.ipynb |
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# name: python392jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca1... | Code/.ipynb_checkpoints/Rough_Work-checkpoint.ipynb |
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# # Visual Inspection of Motorcycle Connecting ... | Rods.ipynb |
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# ## About
#
# In this competition, participants are r... | kaggle_notebooks/osic-baseline-lgbm-with-custom-metric.ipynb |
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# ## Dependencies
# + _cell_guid="b1076dfc-b9ad-4769-... | Model backlog/EfficientNet/EfficientNetB5/153 - EfficientNetB5 -Reg- Cyc LR triangular2 Adam.ipynb |
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import sys
import os
sys.path.append(os.path.abspath(o... | notebooks/examples/eia923-fuel-contracts-vs-time.ipynb |