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# ##### Copyright 2018 The TensorFlow Author... | site/zh-cn/guide/saved_model.ipynb |
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# + [markdown] azdata_cell_guid="5cd39845-9699-4a6b-89... | notebooks/SOSNEP02NB01.ipynb |
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# + [markdown] deletable=false editable=false
# # AIT ... | ait_repository/ait/eval_bdd100k_aicc_tf2.3_0.1/develop/my_ait.ipynb |
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import os
import numpy as np
import pprint
from fastes... | source/supplementary/graph/plot_proxy.ipynb |
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# + pycharm={"is_executing": false}
import tensorflow ... | chapter_01/softmax.ipynb |
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# name: python3-azur... | code/azure/test_ blogFeedBack.ipynb |
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# %reload_ext autoreload
# %autoreload 2
# +
from nbc... | notebooks/name_parse/concat_filtered_events.ipynb |
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import cv2
import matplotlib.pyplot as plt
# %matplotl... | Human face and eye detection project/Video_eyes_faces_detection.ipynb |
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#need to remove outliers
import pandas as pd
import gl... | A_Step1_Moth_Visits_Table.ipynb |
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# # Linear Regression Example
#
# A linear regression ... | tests/tf/linear_regression.ipynb |
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# <a href="https://colab.research.go... | t81_558_class_09_4_transfer_nlp.ipynb |
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# # Enumerate
#
# A função enumarate() retorna um obje... | 04-TratamentoDeArquivos_Modulos_Pacotes_FuncBuilt-in/10-Enumerate.ipynb |
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# # 0. Install and Import Dependencies
# !pip inst... | Media Pipe Pose Tutorial-checkpoint.ipynb |
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# name: python369jvsc74a57bd0987972a5af0... | Notebook_Archive/FeatureConsistencyScore_2.0-BlattfederBatch4.ipynb |
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# # CountDiv
# https://app.codility.com/pr... | codility-lessons/5 Prefix Sums.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Google_playstore.ipynb |
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# + [markdown] id="jovZkMjIa4rA" colab_type="text"
# # Import Libraries
# + ... | Regression/DataProcessingTool.ipynb |
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import pandas as pd
json = open('dados/aluguel.json')... | extras/Importando Dados.ipynb |
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# + [markdown] nbgrader={}
# # Matplotlib Exercise 2
... | assignments/assignment04/MatplotlibEx02.ipynb |
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import scipy.integrate as spi
import numpy as np
i... | Assignment2_A.ipynb |
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# + nbsphinx="hidden"
#jupman-purge-output... | exams/2021-04-16/solutions/exam-2021-04-16-sol.ipynb |
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# #### Copyright IBM All Rights Reserved.
# #### SPDX-... | db2_for_machine_learning_samples/notebooks/Db2 Sample For Scikit-Learn.ipynb |
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# + language="javascript"
# MathJax.Hub.Config({
# ... | FirstGroupProject_Group3.ipynb |
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# # From Linear Regression to Deep Learning in Pytorch... | _site/content/linreg-dl-torch/intro.ipynb |
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# # SymPy
# + jupyter={"outputs_hidden": false}
impor... | HW_Sympy.ipynb |
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# + [markdown] id="view-in-github" colab_t... | Dexter_Hine_COMP215_Lab2.ipynb |
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#
# Importing Necessary Packages
import numpy as np
i... | src/zodiac.ipynb |
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def generate(numRows):
if numRows <= 0:
... | Anjani/Leetcode/Array/Pascal's Triangle.ipynb |
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# # Libraries
import pandas as pd
import numpy as np
... | notebooks/Ventilator-integral column added.ipynb |
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# # Predicting Boston Housing Price... | Tutorials/Boston Housing - XGBoost (Hyperparameter Tuning) - High Level.ipynb |
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import pandas as pd... | data/random_mpra_legacy/combined_library/aparent_random_mpra_lift_legacy.ipynb |
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# # Sentiment Analysis
from textblob import TextBlob
... | #8 NLP/SentimentAnalysis.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="UliMe-8qSyC1" execution... | Classification.ipynb |
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import numpy as np
import pandas as pd
from pandas_dat... | Rate of Return Analysis.ipynb |
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# # Wild Mushroom Classification
#
# An applied machin... | WildMushroomClassifier/WildMushroomClassification.ipynb |
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# + [markdown] colab_type="text" id="_IizNKWLomoA"
# <... | module3-generative-adversarial-networks/LS_DS_443_Generative_Adversarial_Networks.ipynb |
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# # Introduction
#
# Pandoc (http://pandoc.org) is a d... | 00-Instructor/01-HelloWorld/.ipynb_checkpoints/01 - Introduction to Pandoc-checkpoint.ipynb |
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# <table>
# <tr><td><img style="height: 150px;" src="i... | .ipynb_checkpoints/AGII_lab01_Trigonometrie-checkpoint.ipynb |
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# # CoNLL_4.ipynb
#
# This notebook contains the fourt... | tutorials/corpus/CoNLL_4.ipynb |
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# + [markdown] id="OMeeiX5hGv7D"
# BFT with Path
#
# + id="-onr1C_pGvRn"
def... | CS41long_U1S1M4_Notes_RJProctor.ipynb |
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# name: python38-az... | Configurate Azure ML and Azure Synapse Analytics.ipynb |
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# <h1 align="center">
# Further optimizations of Grov... | Demo_phase&modified_vs_boolean.ipynb |
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# # Regression Practical Assessment
# This assessment ... | Regression/Wine Quality Exam Prac/Regression_Prac_Exam_Student_Version.ipynb |
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import pandas as pd
import numpy as np
import os
f... | Z_ALL_FILE/Jy1/diclistnp-checkpoint.ipynb |
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import numpy as np
import pandas as pd
import geopy.di... | hw_4/traveling_bridegroom.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | DepthV1.ipynb |
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# # Time normalization of data
#
# <NAME>
# Time norm... | notebooks/TimeNormalization.ipynb |
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# # Word2vecTokenizer
# <div style="position: absolute... | tomef/tokenizer/word2vec_tokenizer.py.ipynb |
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import os
os.chdir("C:\\Users\\ricardo\\Documents\\Git... | Kaggle/TMU_EnglishReviewClassification/.ipynb_checkpoints/LudwigPreprocessing-checkpoint.ipynb |
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# + [markdown] id="Ro8uR3UYlJeA"
# Here is the [glide-finetune repo](https://... | glide_finetune_colab.ipynb |
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* Within a Python file, create new SQLAlchemy class ca... | Day-2/Activities/04-Par_CruddyDB/Unsolved/Par_CruddyDB.ipynb |
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import numpy as np
import pandas as pd
from matplo... | archieve/2019/homeworks/Part 1/hw3/hw3.ipynb |
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# <img align="right" src="../../doc/banner... | 3_Data_Cube_Basics/notebooks/.ipynb_checkpoints/03_xarrayI_data_structure-checkpoint.ipynb |
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# # Step-by-step MNIST Digits Classification - Convolu... | JNotebooks/tutorial10_step_by_step_MNIST_digits_classification_cnn.ipynb |
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# <h1>Examples</h1>
# <strong>Example #1: Function Me... | 03 Advanced/18-generators.ipynb |
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"""
Quickstart to Tensorboard
The dataset is u... | frameworks/tensorflow/CNN_Tensorboard.ipynb |
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# # Practice Problems
# ### Lecture 11
# Answer each n... | originals/Lecture_11_Practice_Problems.ipynb |
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import auxiliary_tools
from tqdm import tqdm
from geo... | notebooks/evolving_1.ipynb |
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# This notebook prepares edgar v5.0 emissions to be us... | code/edgarv5_to_WRFChem_anthroemiss.ipynb |
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# ### Import Libraries
# + colab={"base_uri": "https:... | reinforcement learning/session1/RL_Workshop_Session1_with_solutions.ipynb |
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import os
import cv2
import imagehash
import pandas as pd... | EDA.ipynb |
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from csv import reader, DictReader, DictWriter
fro... | experiments vader sent.ipynb |
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import numpy as np
import torch
import time
from torch... | inference_batch_vs_imsize.ipynb |
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import torch
import torch.nn as nn
import torch.op... | section6/s6v2-Modifying Seq2Seq - Attention.ipynb |
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# # Functions for Model Testing
# This tutorial covers... | jupyter_notebooks/Tutorials/algorithms/ModelTesting-functions.ipynb |
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# ## Create new MIRI MRS reference files for CDP8b ##
... | miricoord/mrs/makecrds/makecrds_mrs_cdp8b.ipynb |
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# + [markdown] id="bAf0tVYBeCdh" colab_type="text"
# #... | stock/Ethereum_Stock.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Azamat_Jalilov_M4_LS_DS_214_assignment.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | submission_09.ipynb |
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# # Converting scanned kuzushiji sheets to bw images w... | kuzushiji_2_bw_images.ipynb |
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# # Inference Data Mount
# !sudo mou... | inference/_archive/inference_pipeline_David.ipynb |
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# + [markdown] colab_type="text" id="Z3GZrM7xWgnX"
# #... | Code/1. inspect_glomerulus_testdata.ipynb |
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# +
import os
dataset_filename = "../../Datasets/click... | Chapter01/Exercise01.01/chapter_01_exercise_01.ipynb |
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# # Computation on Arrays: Broadcasting
#
# Another me... | numpy/computation_on_arrays_broadcasting.ipynb |
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# +
import time
def follow(f, target):
f.seek(0, ... | Ex04-Follow-Coroutine.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | week3/Tips and Tricks.ipynb |
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# # Scoring functions
#
# Despite our reservations abo... | evaluation/Scoring functions.ipynb |
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# + _cell_guid="6c1b5539-1759-e753-6dae-41f655ad31eb"
... | 8 HOUSE PRICES/lasso-model-for-regression-problem.ipynb |
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# ___
# <img style="float: right; margin: 0px 0px 15px... | DescripcionProyecto.ipynb |
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# # A toy example for modeling complex drug-protein in... | toy_example_RAF_RAFi.ipynb |
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# +
from pyspark import SparkContext, Spar... | hadoop_spark/scripts/jupyter_notebook/test_mysql_conn_v1.ipynb |
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# ## Load Train and Test Data for 30 Day Mortality
# ... | Process Books/LoadData30D.ipynb |
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# # Importance of valid sampling
# By <NAME>" Nitishin... | lectures/drafts/Sampling bias.ipynb |
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import pandas as pd
import json
import glob
import os
... | notebooks/data_preparation.ipynb |
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# + [markdown] deletable=true editable=true
# # Findin... | lanelines.ipynb |
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# +
# default_exp mgmnt.prep
# -
# # Main Preprocessi... | nbs/0.1_mgmnt.prep.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | digitrecognition-using-adam-sgd-99.ipynb |
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# + [markdown] colab_type="text" id="11xi8CRmVA1d"
# *... | code/model_zoo/pytorch_ipynb/autoencoder-conv-2.ipynb |
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# # Wide vs. Long Format Data
#
# ## About the data
# ... | ch_03/1-wide_vs_long.ipynb |
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import sys
import numpy as np
import pandas as pd
impo... | Code/sd-4sql/supplementary/dynamic-threshold.ipynb |
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# # Setup
import json
import requests
from datetime i... | standups/Query20.ipynb |
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# # Rotation Dataset maker
import numpy as np
import ... | Thesis/rotation dataset.ipynb |
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# # Crime data visualization in San Francisco
#
# San ... | notes/sfpd.ipynb |
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# ## Europe
# This notebook contains functions that co... | final-notebooks/dam-impacts-on-protected-areas-calc-europe.ipynb |
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# $\Huge Code$ $\hspace{0.1cm}$ $\Huge to$ $\hspace{0.... | examples/project_maps.ipynb |
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# - <b>Classification algorithms</b>
#
# - <b>Submitte... | Assignment6/Project2/Assignment_06-Project-2.ipynb |
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# # Max likelihood
# +
# imports
from imp... | docs/nb/Max_Like.ipynb |
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# ### This code does not run on Colab
import pandas a... | JupyterNotebooks/Avalanches.ipynb |
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# # Optimization and Topological Data Analysis
# <NAM... | Tuto-GUDHI-optimization.ipynb |
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# + [markdown] id="MNbv_uwtN8g8" colab_type="text"
# # Sketch Model
#
# A sim... | Sketch_Model.ipynb |