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# # Fine Tuning Transformer for MultiLabel Text Classi... | multi_label_classification.ipynb |
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import logging
import math
import random
import mxnet ... | jupyter_notebook/mxnet/max-feed.ipynb |
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# # MAT281 - Laboratorio N°10
#
#
# <a id='p1'></a>
#... | labs/lab_10_BLN.ipynb |
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import sklearn
import pandas as pd
import numpy as np... | Loblaws recommendation system.ipynb |
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# name: python361064bitpythondataconda7... | mission_to_mars.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Import... | upload_nt_to_ch.ipynb |
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# Jako malí jsme hrávali hru na hledání pokladu. Jeden... | BinarySearch2D.ipynb |
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# ### Project 3 - Single Inheritance - Approach
# I'm... | dd_1/Part 4/Section 07 - Project 3/Project 3 - Solution - Approach.ipynb |
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from prettypandas import PrettyPandas
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import pand... | docs/PrettyPandas Demo.ipynb |
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# + [markdown] toc="true"
# # Table of Contents
# ... | Activation_functions/ActivationFunctionsPlot.ipynb |
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# + id="Pfli2FTRfCRI" colab_type="code" colab={}
from google.colab import dri... | finch/tensorflow1/free_chat/chinese_qingyun/main/lstm_seq2seq_export.ipynb |
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# # [Learn Quantum Computing with Python and Q#](https... | ch09/ch09-exercise-solutions.ipynb |
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# # Management - Fragmenter Validation 1.0
# +
import... | management/Management - Fragmenter Validation 1.0.ipynb |
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# + [markdown] id="vkdnLiKk71g-"
# ##### Copyright 2022 The TensorFlow Author... | site/en-snapshot/federated/tutorials/composing_learning_algorithms.ipynb |
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import numpy as np
from bokeh.plotting import out... | examples/interactions/Range update callback.ipynb |
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import firebase_admin
from firebase_admin import c... | crp-db-manager/.ipynb_checkpoints/db_populate-checkpoint.ipynb |
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# + language="html"
# <style> table {float:left} </sty... | mywork/.ipynb_checkpoints/Textcat-Toxic-LIMING-checkpoint.ipynb |
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# ![Private Eyes are Watching You](art/private-eyes.jp... | notebooks/remote/Collecting_Counts_From_Ontology2_DBpedia.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Google Stock Price Prediction.ipynb |
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# <h2 align="center"> Multivariable Regression - Exerc... | Linear Regression Exercise - House Price Prediction/Linear Regression Exercise.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | notebook/google_colab.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Japanese_Yomigana.ipynb |
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# # SCOPRIRE GLI OPENDATA DELLA SCUOLA ITALIANA
#
# ![... | MIUR_OpenData.ipynb |
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sys.path.append('../../../GraphGallery/... | examples/Targeted Attack/test_DICE.ipynb |
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# + [markdown] papermill={"duration": 0.013058, "end_t... | both machine learning models/exercise-data-leakage.ipynb |
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# #### New to Plotly?
# Plotly's Python library is fre... | _posts/python-v3/subplots/map-subplots/map-subplots.ipynb |
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name = '2016-02-05-ipywidgets-interact'
title = 'ipywi... | content/notebooks/2016-02-05-ipywidgets-interact.ipynb |
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# # Chapter 14: Data Privacy
# ### NOTE as of June 20... | chapters/data_privacy/differential_privacy.ipynb |
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# # Day 6
# ! cat ... | 2020/ferran/06/06.ipynb |
# # 8.4. Learning from text — Naive Bayes for Natural Language Processing
import numpy as np
import pandas as pd
import sklearn
import sklearn.model_selection as ms
import sklearn.feature_extraction.text as text
import sklearn.naive_bayes as nb
import matplotlib.pyplot as plt
# %matplotlib inline
df = pd.read_csv('ht... | chapter08_ml/04_text.ipynb |
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import matplotlib.p... | notebooks/Ch05 - Unleash the Power of Transfer Learning/Basic CNN Model.ipynb |
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# 2.3.1 파이썬으로 말뭉치 전처리하기
text = 'You say goodbye a... | ch02/2-3.ipynb |
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print('python', sys.version)
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# # Trabajando con `NumPy`
# ### Iniciali... | docs/source/notas/09.1-Ajuste_con_SciPy-CEF.ipynb |
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# T... | kNN.ipynb |
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impo... | Main.ipynb |
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# # Przykładowy not... | index.ipynb |
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# # Slicing in nodes' names within networks
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impor... | src/test/java/resources/cov19/.ipynb_checkpoints/network_analysis-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Cryptomoneda_Blockchain.ipynb |
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// %%init_spark
launcher.jar... | integrations/oap/dataproc/notebooks/tpcds_power_test_with_gazelle_plugin_Dataproc.ipynb |
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# # Indicator Exploration
#
# *<NAME>*
# ### *Executi... | notebooks/1.0-jrg-full-prototype.ipynb |
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import pandas as pd
import geopandas a... | docs/dev/notebooks/map_proportional_symbols_new.ipynb |
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# # Tutorial: advection-diffusion kernels in Parcels
#... | parcels/examples/tutorial_diffusion.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Transfer Learning for Object Detection... | docs/notebooks/transfer_learning/pytorch_object_detection/PyTorch_Object_Detection_Transfer_Learning.ipynb |
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# %matplotlib inline
#
# NLP From Scratch: Classifyin... | PyTorch/Visual-Audio/Torchscript/char_rnn_classification_tutorial.ipynb |
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# + [markdown] id="5-nEl7bmbKhM" colab_type="text"
# # Torrent to Google Driv... | torrent_to_drive_downloader.ipynb |
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# # Animated graph
# This notebook shows how to use th... | movie/Animated_graph.ipynb |
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from pathlib import Path
import numpy as np
# ## Defi... | main.ipynb |
# -*- coding: utf-8 -*-
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using STMO
using Plots, Da... | chapters/08.ShortestPath/shortestpath.ipynb |
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# `poser` steals a bunch of methods from the standard ... | tests/test_poser_api.ipynb |
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from pandasql import sqldf
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# # MNIST - Handwriting Recognition
from com.yahoo.ml... | caffe-grid/src/main/python/examples/DLDemo.ipynb |
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# + [markdown] button=false new_sheet=fals... | docs/notebooks/Reducer.ipynb |
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# ## Computer vision
# + hide_input=true
from fastai.... | docs_src/vision.ipynb |
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from sklearn.decomposition import LatentDirichletAlloc... | ML/first_ML_11_02_TopicModeling.ipynb |
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# ## Word2Vec알고리즘 (CBOW)
# - 내부의 Weight가 업데이트 되는 과정을 자... | 02. 컨텐츠 기반 추천시스템/02. 컨텐츠 기반 추천시스템 - Word2Vec을 이용한 추천시스템/02. 컨텐츠 기반 추천시스템 - Word2vec을 이용한 추천시스템 (numpy 버전).ipynb |
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import numpy as np
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import matplotlib.pyp... | plot_Fig1.ipynb |
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# # Now You Code 2: Course Grade
#
# In a previous hom... | content/lessons/06/Now-You-Code/NYC2-Course-Grade.ipynb |
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# finding branching ratio between nitrate and NO2 + al... | code/carter_atkinson_NO_branching.ipynb |
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import pandas ... | my_model/first_try.ipynb |
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# # Introduction to scientific computing with Python
... | 001-Jupyter/001-Tutorials/004-Scientific-Python-Lectures/Lecture-0-Scientific-Computing-with-Python.ipynb |
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# As usual we start loading the packages that we will ... | classifier_language_recognition-tensor-flow-checkpoint.ipynb |
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# # Introduction to Programming
... | JupyterNotebooks/Lessons/Lesson 7.ipynb |
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# # Part3. Predictive-Modeling
# ref : https://www.kag... | kaggle_titanic/200519_Titanic_study-03_Predictive-Modeling.ipynb |
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from pyspark import SparkConf, SparkContext
#conf = S... | notebook/spark.ipynb |
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# + [markdown] colab_type="text" id="mD5BJNj3tbL7"
# #... | notebooks/RetrainingExplained.ipynb |
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# By encoding **categorical variables**, you'll obtain... | notebooks/ml_intermediate/raw/ex3.ipynb |
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# # agent
# This script defines the actions that an a... | net-worth-optimizer/agent.ipynb |
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import os
os.environ['KERAS_BACKEND']='tensorflow'... | MNIST MLP-Exercise-Answers.ipynb |
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# This notebook demonstrates the most basic capabiliti... | python/examples/VW_in_Python.ipynb |
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# # Full text classification project
#
# Sample projec... | notebooks/text-classification/Full Text Classification Project.ipynb |
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# # Digit recognition
# This notebook will explore th... | digit_recognition/notebook.ipynb |
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# # Week0: IBM Quantum Challenge - Learning the Basics... | challenges/ibm-quantum/iqc-fall-2020/week-0/ex_0_en.ipynb |
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# +
import sys
sys.path.append('..')
import numpy as n... | tests/.ipynb_checkpoints/MNIST_demo-checkpoint.ipynb |
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#          **J... | 005_Python_HW_Assignment_05.ipynb |
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# + ... | FeaturedNotebooks/ACM_BCB_2020_POSTER_Histogram_Associations_ProteinGeneExpression_vs_ClinicalFeatures.ipynb |
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# <!DOCTYPE html>
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from enum import Enum
class Event(list):
def ... | Observer/Untitled.ipynb |
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# + [markdown] id="dzNng6vCL9eP"
# #CS231n Python Tutorial With Go... | OOP/Practice Sessions/colab_tutorial.ipynb |
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import ee
ee.Initialize()
from geetools import tools
... | notebooks/image/renamePattern.ipynb |
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# # Modeling and Simulation in Python
#
# Chapter 10: ... | code/chap10-mine.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Prelim_Exam.ipynb |
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# # GSD: Calculating %G+C for the nuclear and mitochon... | notebooks/GSD/GSD Calculating_GC_for_nuclear_and_mitochondrial_genomes_of_SGD_reference_and_PB_set.ipynb |
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title = "Fetching data from a CSW catalog"
name = '201... | content/downloads/notebooks/2015-10-12-fetching_data.ipynb |
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# # MLP example using PySNN
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import torch
from to... | examples/.ipynb_checkpoints/mlp_example-checkpoint.ipynb |
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from matplotlib import style
styl... | climate_starter.ipynb |
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# # Problem set 4
#
# - Below are the functions necessary to complete pr... | R_basics/Disc7_PS4.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Codigo_proyecto_final.ipynb |
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# # Training Logistic Regression via Stochastic Gradie... | week7/Training-Logistic-Regression-via-Stochastic-Gradient-Ascent.ipynb |
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import torch
import random
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i... | Farhat_Mohamed_Babacar_Sow_OT_project_notebook_part2.ipynb |
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import pandas as pd
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import plotly.e... | code/research-skills_x_label.ipynb |
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# EDIT to point at WaveRNN folder
WaveRNN... | notebooks/WaveRNN prediction.ipynb |
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# # packages used
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fr... | 08_docker_deploy_ml/train_notebook.ipynb |