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# # Practice Notebook: Reading and Writing Files
# In... | Using Python to Interact with the Operating System/WEEK 2/Reading_And_Writing_Files.ipynb |
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from LDA_function import tf, my_lda_func
import n... | src/Notebook.ipynb |
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# ##### CNN-RNN
# + id="inaDTTsfjf_B"
import tensorfl... | testing_stuff/.ipynb_checkpoints/FA_KES_Combined_CNNRNN_Classifier_+_URL_Classifier-checkpoint.ipynb |
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#from unified_bib import DataSlicer,PCA_calc,SODA,... | Python/JCAE_Major/.ipynb_checkpoints/model_notebook-checkpoint.ipynb |
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import warnings
warnings.filterwarnings("ignore")
... | MultiClass_Classification_metrics.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | colab/fastcampus/Matrix_Factorization_Trial.ipynb |
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from IPython.html import widgets
from IPython.utils.tr... | python/demo1/scipy-advanced-tutorial-master/Part2/Exercise 1.ipynb |
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# # Step 15: Extend-KG-with-more-keywords
# ![Keyword... | Project-frameworks-by-using-NLP-with-Python-libraries/Jupyter-notebooks/Step-15-Extend-KG-with-more-keywords.ipynb |
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import nltk
from nltk.corpus import state_union
... | state_of_union_main.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | edge_reconstruction_main.ipynb |
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# # Example usage of SeisSrcMoment to calculate $M_W$ ... | examples/.ipynb_checkpoints/example-checkpoint.ipynb |
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from __future__ import division
import pickle
impo... | 3.0-continuous-ime.ipynb |
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# # A. Random integers
# Similar to the Python random ... | 1.Data Manipulation with NumPy/4.Random Numbers Operation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 0007_TOPSIS_exemplo_1.ipynb |
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# # Some important admin and homework for next time.
#... | lectures/Week6.ipynb |
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# Copyright 2020 <NAME>
# Licensed under th... | datasources/create-dataset-monthly.ipynb |
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# # Name: <NAME>, ID: 1001405116
# # IMDB-sentiment A... | files/Miah 03.ipynb |
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## Import Statements
from scipy.linalg ... | fig2/fig2.ipynb |
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# ### Task 1: (Connect to the supplied petsDB, and (OP... | Lesson08/Activity11/Retrieving_data_correctly_from_Database.ipynb |
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# # Bayesian Linear Regression
# Linear regression is... | static/notebooks/bayesianlinearregression.ipynb |
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# <a href="https://colab... | Applications_of_Linear_System.ipynb |
# -*- coding: utf-8 -*-
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using GenericLinearAlgebra... | qsvt_search/src/QSPSolver/Solvers/GSLW_QSP.ipynb |
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# # Session 2 Part 1
#
# So far, our circuit simulation ha... | notebooks/Session 2 Part 1.ipynb |
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# + active=""
# This notebook is for generating explor... | Notebook/.ipynb_checkpoints/Exploratory_SDGs_analysis-checkpoint.ipynb |
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import numpy as np
import pandas as pd
import os
... | More condensed dataset/notebook2/flo_test/4. Multi-output.ipynb |
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#hide
from timeapp.core import *
# %load_ext auto... | index.ipynb |
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# # Keras Tutorial
#
# <!-- include m... | 2016/tutorial_final/41/Keras Tutorial.ipynb |
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# # Riskfolio-Lib Tutorial:
# <br>__[Financionerionci... | examples/Tutorial 15.ipynb |
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# # Running Model Trained Through Transfer Learning (V... | Version 2 (Retrained Final Layer of VGG)/Run_Transfer_Learning_Model.ipynb |
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# # Data PreProcessing
#
import pandas as pd
import n... | insurance_model_code.ipynb |
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# + pycharm={"name": "#%%\n"}
import numpy as np
from... | docs/bayes_window_book/rethinking/week01.ipynb |
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# # 1A.data - visualisation des données - correction
#... | _doc/notebooks/td1a_dfnp/td1a_correction_session_12.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | tfx_addons/schema_curation/example/taxi_example_colab.ipynb |
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import geopandas as gpd
import matplotlib.pyplot a... | Interseccion_Isocronas.ipynb |
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... | eigenvector.ipynb |
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import numpy as np
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import matplotl... | paper/historycode/Code/.ipynb_checkpoints/Data_Analysis-checkpoint.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | spotify_user_behaviour_predictor/7_Conclusion.ipynb |
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# # 範例 : (Kaggle)房價預測
# ***
# - 以下用房價預測資料, 觀察降低資料偏態的影響... | Day_021_Reduce_Skewness.ipynb |
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notas = c(59, 61, 74, 84, 86, 96, 92, 53, 66, 58... | Aula_AVD_Evoney_05_04.ipynb |
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from scipy.stats import beta, t, no... | concepts/credible_interval.ipynb |
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# + [markdown] colab_type="text" id="37XDM... | Data-Science-Portfolio-master/Deep Learning/Fashion_Class_Classification_using_MNIST_dataset.ipynb |
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# # Exercise 11. Two-sample tests/Interval estim... | Exercise 11/T13_hypothesis_testing2.ipynb |
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import glob
import pandas as pd
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#Mac
#path ='/Us... | notebooks/Basic/SINGA.ipynb |
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# # Movie Recommender Sytem
# Following notebook demo... | notebooks/1.0-sk-popularity-item-similarity-recommendation.ipynb |
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# # Base Variables
# +
# average / weighted_average /... | Inference.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# [View in Colaboratory]... | Scala_on_Google_Colaboratory.ipynb |
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# ## 1. Creamos los modelos de lenguaje
import os
imp... | 04_language_model/01_create_model_language.ipynb |
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# ## Lead Scoring
# **Authors**: <NAME> & <NAME>
# In... | Classification/Python/lead_scoring_bank_marketing/Lead Scoring.ipynb |
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# + [markdown] colab_type="text" id="UvkYjiM9Ywyo"
# #... | Chapter 03 - Data Visualization and Storytelling/data_visualization_storytelling.ipynb |
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# + raw_mimetype="text/restructuredtext" active=""
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# # 在量子化学计算中应用量子变分求解器
#
#
# `Linux` `CPU` `全流程` `初级` `... | docs/mindquantum/docs/source_zh_cn/vqe_for_quantum_chemistry.ipynb |
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sys.path.append("../")
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# # QRNN Model Selection
#
# This notebook performs a ... | qrnn_model_selection.ipynb |
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# # Masked Language Modeling
#
# In this lab, we will ... | Part 02/003_Decoding/mask_lm_lab/masked_lms.ipynb |
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# + colab={"autoexec": {"startup": false, "wait_interv... | 17. textClassificationProject/TextClassificationFinalDraft.ipynb |
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# ## Train GPT on addition
#
# Train a GPT model on a ... | play_math.ipynb |
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import pandas as pd
import lux
# In this tutorial, we... | exercise/3-Export-Widget.ipynb |
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from ... | nbs/blocks/blocks.ipynb |
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# ## Gramáticas de Lindenmayer
#
# Los [**sistemas de ... | sistemas-de-lindenmayer.ipynb |
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import json
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impor... | twitter_bot.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | cluster_departments_Kmeans.ipynb |
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# $$
# \frac{dy}{dt} = -ky
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# where $y(0)=y_0 \sim... | 2-d-pre.ipynb |
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# # ResNet34 - 2 Classes - Experime... | model2-less-classes/2020-03-30-resnet34-2classes.ipynb |
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# ### Ex Notazione Polacca
# Scrivere una funzione che... | Lez11/EsercizioNotazionePolacca.ipynb |
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# URL: http://matplotlib.org/examples/mplot3d/trisurf3d_demo.html
#
# Most examples work across multiple plotting backends, this example is al... | examples/gallery/demos/matplotlib/trisurf3d_demo.ipynb |
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# # Overview
# - nb022の改良
# - focal loss の最適化を行なう
# - ... | nb/023_optimize_focal_loss.ipynb |
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# # Tokenizer App
# <div style="position: absolute; ri... | tomef/tokenizer/tokenizer.app.ipynb |
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# %matplotlib inline
... | notebooks/15.Pipelining_Estimators.ipynb |
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# ## Draw sample MNIST images from dataset
# Demonstra... | keras/mlp/mnist-sampler.ipynb |
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import scipy.sparse
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impo... | notebooks/hse_iad_competition/straight_to_the_top_sif.ipynb |
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# Pipelines are an integral part of cre... | docs/user-guide/pipelines.ipynb |
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from __future__ import absolute_import, division, ... | CIFAR 100/3 - Resnet 18 Classification with Discriminative Pretext Task.ipynb |
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# # Evolution strategies on test functions for optimiz... | baselines/bb_functions.ipynb |
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# + [markdown] tags=[]
# # Question 2
# + [markdown] ... | Homeworks/01. Introduction to Spark/01. Intro to Python.ipynb |
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import pandas as pd
import ... | .ipynb_checkpoints/wne_pred-checkpoint.ipynb |
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# # Introduction to Natural Language Processing
#
# N... | ML1/nlp/101_NLP_Introduction.ipynb |
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# # A model of the intergenerational movement of trait... | archive/tree_project_explainer.ipynb |
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# The basics
import numpy as np
import pandas as p... | notebooks/Isear-07-codefupanda-LSTM_Model-GloVE.ipynb |
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# ## Filter
# criando uma função
def verifica_par(num... | Cap04/filter.ipynb |
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# %matplotlib inline
#
# # Mie Resonances
#
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# sp... | docs/source/Experiments/QscaVSWavelength.ipynb |
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from packages.nxt import *
brick = connectar(5)
Musi... | Music Test.ipynb |
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# # !pip install panda
# # !pip ins... | Xor NN.ipynb |
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# ## Hands-On Data Preprocessing in Python
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