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from itertools import combinations
import networkx as ... | Algebraic_topological_measures.ipynb |
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# # Data description & Problem statement:
# The IM... | NLP projects in Python and Spark/IMDb review classification (Sentiment analysis with Scikit-learn).ipynb |
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import os
import sys
sys.path.insert(0, os.path.ab... | notebooks/Suppression vis Disk Covering.ipynb |
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import pandas as pd
# %matplotlib inline
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# # Data_Retrieva... | Code/Data_Retrieval_and_Plotting.ipynb |
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// # Bubble Sort
def bubbleSort[A](a: Array... | Getting Started/Bubble Sort.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}... | Spring2021/09-AccGd/cg.ipynb |
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# # Work with Data
#
# Data is the... | 06 - Work with Data.ipynb |
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# # Data Preprocessin... | src/sagemaker/01.FD_SL_Process_IEEE-CIS_Dataset.ipynb |
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# # Introduction to Earth Engine and TensorFlow in Clo... | src/tfexample.ipynb |
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# # HCA paper
#
# - Purpose: Reproduce Fig4(left), re... | HCA/hca/scripts/hca_paper_fig4_left.ipynb |
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# ## Observations and Insights
# #### Propriva had t... | matplotlib-challenge/pymaceuticals_starter.ipynb |
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import os
import math
import scipy as sp
import n... | TSLR/COVID19.ipynb |
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# # Realtime ASR
#
# Let say you want to transcribe re... | docs/realtime-asr.ipynb |
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from PIL import Image
# Take all 4 images
filename... | maintest.ipynb |
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# # Exercícios
# Execute a célula a seguir par... | kanggle/IntroMachineLearn/Exercices/exercise001.ipynb |
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = ''... | pretrained-model/tts/glowtts/export/glowtts-multispeaker.ipynb |
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import json
json_dir = "/home/samuelkim/.kaggle/data/sartorius/j... | create_datasets/revise_json_livecell.ipynb |
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# # Dictionary
# Python dictionary is an unordered co... | Python Data Structure/3.5 Dictonary.ipynb |
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import time
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matplotli... | testcode/smartLoop/circletraj-Copy1.ipynb |
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# ... | ipynb/matplot divakar.ipynb |
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# # The world of developers
# ## Section 1: Business... | Proyecto.ipynb |
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#
# # 2D free support Wasserstei... | docs/source/auto_examples/plot_free_support_barycenter.ipynb |
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impo... | Random Projects/PCA/PCA.ipynb |
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# ### Prepare Data and Evaluate the Results
#
# Now we... | PrepareData.ipynb |
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# # CS 458
# # Lec... | CS 458.ipynb |
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# # Explicit Feedback Neural Recommender S... | labs/03_neural_recsys/Explicit_Feedback_Neural_Recommender_System.ipynb |
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# # Notebook 4 - Control Flow
#
# We now have a substa... | intro_to_python/4_Control_flow_Complete.ipynb |
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# # ... | utf-8''C4_W4_Ungraded_Lab_Revnet.ipynb |
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from hana_ml import datafra... | Python-API/pal/notebooks/Preprocessing.ipynb |
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f_dir = '/Use... | sgp/we42120/e01_test-debug-tsfiles.ipynb |
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# # Factors influencing client choice
# ## Context
# ... | Factors_Influencing_Client_Choice.ipynb |
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# encoding: utf-8
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# encodin... | interface/.ipynb_checkpoints/mutual_information-checkpoint.ipynb |
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# Similar to change counter notebook, but explictly it... | ExploratoryNotebooks/PostOrder.ipynb |
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import xlnet
import numpy as np
import tensorflow as t... | session/subjectivity/alxlnet-base.ipynb |
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#export
from local.imports import *
from local.test im... | dev/30_text_core.ipynb |
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#Note, Cartopy is a python package which will ... | VariantFrequenciesToMaps.ipynb |
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import numpy
import toyplot
numpy.random.seed(123... | sandbox/violin-plot-alternative.ipynb |
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# # NLP Transformers GUI
# This notebook uses the pipelines... | NLP_App.ipynb |
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# Update sklearn to p... | exo_exploration.ipynb |
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# # Algo - Calculs de surface et autres calculs
#
# C'... | _doc/notebooks/td1a_home/2020_surface.ipynb |
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flags = [i for i in dir(cv2) if i.start... | color_detect_openCV.ipynb |
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import numpy as np
print(np)
x = np.ones((6,6,3))
i... | notebooks/ipynb_viz_experiments.ipynb |
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# # Lab 2
# ## Introduction
# This lab introduces slop... | notebooks/lab-02.ipynb |
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# ### 1. 단어 빈도수 얻기
# +
from collections import Counte... | practice/word_counter_cloud.ipynb |
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# # Machine Translation English-German Exam... | introduction_to_amazon_algorithms/seq2seq_translation_en-de/SageMaker-Seq2Seq-Translation-English-German.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | GAN/fashion_mnist_gan/fashion_mnist_gan_v2.ipynb |
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# # Generate Timeline from profiling ... | mem_mem/read_trace.ipynb |
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import pandas as pd
from sklearn.ensemble import Gradi... | TC20 Data Science/Model.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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import seaborn as sns
import numpy as np
import pickle... | notebooks/Shapley/plots.ipynb |
# ##### Copyright 2021 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/contrib/broken_weights.ipynb |
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import torch
class ImageTransformationNN(torch.nn.Mo... | src/dev-notebooks/ImageTransformationNN.ipynb |
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# ### if Else
#
# The if else statement
#
# An if-else statement is a gr... | 14. IF, ELSE, ELSE IF Statement in R.ipynb |
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# ## Adding a variable to capture NA
#
# In previous n... | notebooks/feature-engineering/Section-04-Missing-Data-Imputation/04.08-Missing-Indicator.ipynb |
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# # Spark et MLlib - ML
#
# Régression logisitique ave... | _doc/notebooks/spark_local/spark_mllib.ipynb |
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# ## Outline
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# # Using Dataset: matches.csv
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im... | matches-ml-model.ipynb |
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from pulp import *
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import pandas as pd
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# # TorchDyn Quickstart
#
# **TorchDyn is the toolkit ... | tutorials/00_quickstart.ipynb |
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import undetected_chromedriver.v2 as uc
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# importing libraries
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# # BUILD DATABASE
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import os
#importem la funcio ... | Jupyter Notebooks/team3_project.ipynb |
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# # Gumbel Softmax / Concrete VAE with BayesFlow
#
# I... | gumbel_softmax_vae_v2.ipynb |
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# # TensorFlow Semi-supervised Self-training Classific... | courses/machine_learning/asl/open_project/semi_supervised_self_training/tf_semi_supervised_self_training_classification_mnist.ipynb |
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# ## Inputs
# ### subscript conventions
# subscript| meaning
# ---|---
... | cad/module/jigs/shrinkFit.ipynb |
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# # Homework 5 - Bayesian Networks
# **Name**: <NAME>... | AI/AI HW5/Practical/Practical-Notebook.ipynb |
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# + id="312d1fc2"
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... | materials.ipynb |
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# # Income Prediction Explanations
#
# ![C... | docs/samples/explanation/alibi/income/income_explanations.ipynb |
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def getRow(rowIndex):
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# # Function rgb2hsv
# ## Synopse
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class Solution:
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# # Test suite for Jupyter-notebook
# Sample exam... | tests/sources/python/9_jupyter_notebook/src/simple.ipynb |
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# # WeatherPy
# -... | starter_code/WeatherPy.ipynb |
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# # Estadística con Python
#
# ### GitHub repository: ... | Covarianza_Correlacion.ipynb |
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# + colab={} colab_type="code" id="bD6DUkgzmFoR"
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# hash: ecf5722fdaf1897a315d257d89d94520... | 60_case_study/身分證、居留證檢查驗證/tw_id.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="AnHKP3tQ6Yer" outputId=... | Experiments/DistilBERT_Classification.ipynb |
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import warnings
warnings.filterwarnings("ignore")
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# ## Numpy 常用功能
#
# 首先一定要记住一点，Numpy 是列向量优先... | data-science/numpy-cheat-sheet.ipynb |
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# ## Hello Seaborn (+ Matplotlib & Pandas)
#
# Dieses ... | py_data_viz.ipynb |
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# # Active Learning dashboard
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