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from tqdm.notebook... | sdsqv.ipynb |
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# # Training MFA on fuaimeanna.ie
#
# > "Training Monr... | _notebooks/2021-05-13-train-irish-mfa-model-fuaimeanna.ipynb |
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import pandas as pd
import numpy as np
import random
from tqdm import tqd... | Models/Recommender/samples.ipynb |
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# # FIT9133 Module 3: Programming Exercise Part C
# Th... | FIT9133 Module 3 - Programming Exercise Part C.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
imp... | Module2/Python_Data_Analysis_code/Chapter 4/transforming_up.ipynb |
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# # Perturbation Map Analysis of Binding Free Energies... | 03_Network_Analysis/Exercise03.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Data_pre_processing.ipynb |
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# # "Logistic Regression from Scratch"
# > "Implement... | _notebooks/2020-04-24-logistic-regression.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="aceSl-4JMuPr" outputId=... | Spacy_NER_model.ipynb |
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import theano
import numpy as np
import sys
import... | examples/.ipynb_checkpoints/Mutation Effect Prediction-checkpoint.ipynb |
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# # Modules
#
# - Getting around
# - Getting aroun... | Course-outline.ipynb |
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# + id="hTcMWZDMPE3H" colab_type="code" colab={}
import numpy as np
import pa... | notebooks/JanakievTest.ipynb |
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import math
N = int(input())
max_n = 1
for i in r... | 20210113_ABC144_C.ipynb |
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import warnings
warnings.filterwarning... | test/crf_bert.ipynb |
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# # Here comes the `glob`
#
# Working with multiple fi... | files/day2.ipynb |
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# # 코드 고치기
# ┌─┬─┬─┬─┐
#
# │0 │1 │2 │3 │
#
# ├─┼─┼─┼─... | 19-1/Machine-Learning-3/1901 ML3 HW3.ipynb |
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# # Converting masks back to annotations
#
# **Overvie... | docs/examples/segmentation_masks_to_annotations.ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | Data-Science-HYD-2k19/Projects/codes/PROJECT 6 (seaborn)/Seaborn task(13-08-19).ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | TAPAS/Fine_tuning_TapasForQuestionAnswering_on_SQA.ipynb |
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# + [markdown] id="bwCxd7ugXMCu"
# # MNIST Dataseti
#
# 0'dan 10'a kadar yazı... | Models/MNIST/MNIST - Hard.ipynb |
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# ### Import packages and data ###
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import... | Random_Forest_Search.ipynb |
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# + [markdown] papermill={"duration": 4.4e-05, "end_ti... | python/validation/psfgeneration/results/hi-zres.ipynb |
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# # Benchmark mixed precision training on Cifar100
#
#... | examples/notebooks/Cifar100_bench_amp.ipynb |
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# hash: c2bb23fd1c592e0201... | p3_collab-compet/Tennis.ipynb |
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# # Portuguese Bank Marketing Strategy- TPOT Tutorial
... | janus/tpot/tutorials/Portuguese Bank Marketing/Portuguese Bank Marketing Strategy.ipynb |
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# + id="fAQ6Tf_womfw"
#run this cell to link to the google and acess files
fr... | file_stacking_3.ipynb |
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# ###### Content under Creative Commons Attribution li... | lessons/04_spreadout/04_03_Heat_Equation_2D_Explicit.ipynb |
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# # Let's Finish these calculations
# +
# Homemade mo... | 2021 Week 3.ipynb |
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# # Inbalanced Classes
# ## In this lab, we are going ... | module-3/Imbalance/your-code/lab_inbalance.ipynb |
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# # Online Prediction with XGBoost on Cloud Machine Le... | notebooks/xgboost/Online Prediction with XGBoost in CMLE.ipynb |
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# + [markdown] colab_type="text" id="aCPex1WaUnni"
# #... | _notebooks/2020-01-28-Altair.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | Portuguese Bank Marketing Data Analysis.ipynb |
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# # Mini Project 1: Prototype selection fo... | project 1/.ipynb_checkpoints/sandbox-checkpoint.ipynb |
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# # "No For-Loops"
import numpy as np
import pandas a... | live_lectures/live-lecture-25.ipynb |
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# + jupyter={"source_hidden": true}
# %load_ext autore... | examples/mission_choices_and_completions.ipynb |
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import json
import os
import sys
import matplotlib... | notebooks/MCTS_EXP_VARYING_C_PARAM.ipynb |
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# ## Baseline - Grail QA
#
# Since we have labels already, it make... | notebooks/amqdn-0.2-baseline-grail-qa.ipynb |
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# # Gradient descent visualization
# ---
# ***Author:... | 01_mysteries_of_neural_networks/01_mathematics_of_nn/Gradient descent visualization.ipynb |
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# # Using Librosa Library
# !pip install librosa
imp... | AudioClassification.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | Contour finding/ContourFinding.ipynb |
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# + colab_type="code" id="gnwiOnGyW5JK" colab={"base_uri": "https://localhost... | BBC News headlines categorical analysis.ipynb |
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# <a href="https://colab.research.google.com/github/da... | custom_inference/python/boston_housing/Main_Script.ipynb |
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# # Using and Creating Labels
#
# Labels are a way to ... | examples/notebooks/tutorials/using_and_creating_labels.ipynb |
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# ## Load libraries
from numpy import exp, array, ran... | 01.neural_network/05.neural_net_2_using_just_numpy/neural_net_2.ipynb |
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import requests as rs
from bs4 import BeautifulSoup as... | Web-Scraping Scripts and Data/Accredited Canadian English Undergrad MechEng Programs/UofT/WS_Undergrad_Courses_UToronto_Mechanical Engineering.ipynb |
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data ="/Users/aeg/Downloads/training.csv"
from sklear... | DataExploration.ipynb |
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# %matplotlib inline
#
# # Plot multiple EMD
#
# Show... | master/_downloads/9a20dadaa600955e1b6e24df368031ce/plot_compute_emd.ipynb |
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# # TensorFlow e Keras
# +
# Import do TF e da ferram... | Redes Neurais/Keras e TF2/KerasSequential.ipynb |
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# <img align="center" style="max-width: 10... | lab_2/lab_02_solutions.ipynb |
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# # Looking for Correlations with Data Binned by time
... | correlations_with_binning.ipynb |
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# This notebook can be run on... | Notebooks/4_PCA/N1_pca_olympic_data.ipynb |
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# # 07 Uncertainty Analysis
#
# ## Elemental Uncertain... | Lectures/07_UncertaintyAnalysis.ipynb |
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# # Grid Generation Basics
#
# This section will cover... | docs/tutorial/01_GridgenBasics.ipynb |
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# ## Load libraries
import pandas as pd
import numpy... | CreditCardFraud_Detection/autoencoder.ipynb |
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# (EN CONSTRUCCIÓN)
# Esta página es excelente: [http... | notebooks/imagen.ipynb |
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# # Topic Modeling & LDA
# ## Topic Modeling
from skl... | self/chap8/topic_modeling_and_LDA.ipynb |
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# # Fuel pin-cell simulation
#
#
# This notebook show... | docs/source/examples/pincell_nb.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | GAN_example.ipynb |
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# %matplotlib inline
# ### Load the BPL simulation da... | notebooks/inspect_diffprof_diffmah_correlations.ipynb |
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# # 處理 outliers
# * 新增欄位註記
# * outliers 或 NA 填補
# ... | HomeWork/Day_011_HW.ipynb |
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import numpy as np
import pandas as pd
... | SA.ipynb |
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# # Visualizing the Agent
#
# Once we have trained an ... | Visualization.ipynb |
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# # 4. Other data reshaping strategies
#
# In this not... | notebooks/4. Other data reshaping strategies.ipynb |
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# **NAIVE BAYES**
# Baseado no teorema de bayes (anál... | notebooks/estudos_python/machine_learning/naive-bayes/classificacao_naive-bayes3.ipynb |
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# # ACPC distance calculations
# <NAME> 20... | .ipynb_checkpoints/ACPC_distance_calculations-checkpoint.ipynb |
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# # Tutorial 1 (:-})
# +
#let's see how to read image... | Image reading and converting images into gray scale/Image reading and converting images into gray scale.ipynb |
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# + colab={} colab_type="code" id="eGNlhSo7kLx3"
# +... | Diabetes.ipynb |
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# # Excercises Electric Machinery Fundamentals
# ## Ch... | Chapman/Ch2-Problem_2-08.ipynb |
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# # Day 3 Q2
n=200
for n in range(2,n+1):
i = 2
... | Day3Assignment/Day 3 Assignments.ipynb |
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# + slideshow={"slide_type": "slide"}
import n... | 4. Cliques, Triangles and Graph Structures (Student).ipynb |
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# dictionary creation
# help for amidict - note list... | src/ipynb/jupyter/createdict.ipynb |
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# # Dolores Version 01
# Parse a natural sentence and ... | Dolores-v01.ipynb |
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from pyIRM import dataFit,fit_plo... | pyIRM/pyIRM.ipynb |
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# +
import pandas as pd
import seaborn as sns
import m... | article_materials/fig1_catastrophic_forgetting.ipynb |
# + tags=["parameters"]
# declare a list tasks whose products you want to use as inputs
upstream = None
# + tags=["injected-parameters"]
# Parameters
product = {"nb": "/Users/wf/source/jupyter/ploomberexample/ex0-nb.ipynb"}
# + tags=["hide-input"]
from IPython.display import HTML
HTML(filename='header.html')
# -
| ex0-nb.ipynb |
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# +
import glob
import shutil
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from bs4 import BeautifulSoup
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impo... | femicide_TEXTS_SCRAPING.ipynb |
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# <img align="right" width="240" height="240" src="img... | jupyter_notebooks/practice1_fe1.ipynb |
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# +
import pandas
# %matplotlib inline
import numpy as... | src/Chapitre1/scripts_figure/3_regimes_temproral.ipynb |
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#
# # Problem Set 3
# # Due Sunday, November 22, 2020
... | ps3/.ipynb_checkpoints/ps3-Copy1-checkpoint.ipynb |
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# <h1> <b>Homework 2</b></h1>
# <i><NAME><br>
# <EMAIL... | hw2/.ipynb_checkpoints/MIDS-W261-2015-HWK-Week02-AlejandroJRojas-checkpoint.ipynb |
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# # Summary
#
# ## Pros
# - Number of clusters can be ... | notebooks/Learning Units/K-Means/K-Means - Chapter 6 - Summary.ipynb |
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# 여러 텐서들의 흐름에 대해 웨이트를 공유하는 레이어에 대해 공부해봅시다. 그 예로서 <br>
... | AI 이노베이션 스퀘어 시각지능 과정/202006/20200604/shared layer.ipynb |
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from pyspark.sql import SparkSession, Row
spark = SparkSession.builder.appNa... | notebook/dataframe-fakefriends.ipynb |
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# ## Analysis of Sales data... | analysis.ipynb |
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# + [markdown] colab_type="text" id="NkfHUS813zJk"
# ##### Copyright 2018 The... | tensorflow_probability/examples/jupyter_notebooks/Fitting_DPMM_Using_pSGLD.ipynb |
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# +
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import nump... | 2021_11_19_check_psf_regions/plot dists.ipynb |
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# + tags=[]
import time
import numpy as n... | orbitdeterminator/doppler/notebooks/temp.ipynb |
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import requests
import pip
import pandas
f... | pre_labs/pre_lab_07/.ipynb_checkpoints/pre_lab_07-checkpoint.ipynb |
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# + [markdown] id="xaeoZdPSamoQ"
# ## Eigenvalues and Eigenvectors
# + [mark... | Eigen_value_and_eigen_vectors.ipynb |
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# + [markdown] id="rBaEVh5291Ex" colab_type="text"
# #... | python/02_numpy_pandas/quiz/pandas_quiz.ipynb |
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# ## Histogram
#
# - Histogram groups numbers into int... | Notebooks/visualizations/Histogram.ipynb |
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# # Exponential-family belief updating
# ## Reduction of Bayes' theorem... | notebooks/exp-fam.ipynb |
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# # Macros
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | notebook/models/model-default-training-with-concat-and-att.ipynb |
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# # Example of downsampling and interpolating data wit... | notebooks/romSpline_example.ipynb |