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# + id="9yqK1X26qvmA"
import imutils
import numpy as np
import cv2
from googl... | realtime_face_recognition.ipynb |
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# ### Note
# * In... | PyCitySchools/PyCitySchools_starter.ipynb |
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# %matplotlib inline
#
# # Two Variables
#
# Use a ge... | docs/_downloads/fd00915bcdcadd81eb8737d79e25aec1/plot__2_variables.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as p... | Advanced Scoring.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | module4-model-interpretation/permutation_importances_partial_dependence_plots.ipynb |
# -*- coding: utf-8 -*-
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# # Introduction to DataFr... | 11_performance.ipynb |
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import forge
from puzzle.puzzlepedia import puzzle... | src/puzzle/examples/mim/p7_2.ipynb |
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import os
import numpy as np
f_dir = "../../out/ZINC_... | scripts/StatisticalResults/generate_statistics_molecules_graph_regression_ZINC.ipynb |
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# + id="8UMFqsCD0xyF" colab_type="code" colab={}
# Importing necessary packag... | Chapter03/Activity3.02/Activity3_02.ipynb |
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# # [Codewars](https://www.codewars.com/kata/5545f109004975ea66000... | 2021/October/Tuesday-Oct-12-Divisible-x-y.ipynb |
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# # Saving and Loading Models
#
# In this notebook, I'... | Part 6 - Saving and Loading Models.ipynb |
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# # Problema de selección de portafolio con preferenci... | Modulo3/Clase11_ProblemaSeleccionPortafolio.ipynb |
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# + [markdown] id="636929bc-001" colab_type="text"
# #1. Install Dependencies... | colabs/bucket.ipynb |
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# + [markdown] _uuid="d7aa1b0ad6979877450f9cd89e1e3728... | RS_All (1).ipynb |
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import time
import yaml
import torch
import loggin... | AP-GCN_demo.ipynb |
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# ** Two stage problem. **
# * Default Clas... | notebooks/BenchmarkModel.ipynb |
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import pandas as pd
from matplotlib import pyplot ... | Firearm Background Checks.ipynb |
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# #Making multipanel plots with matplotlib
# %matplot... | multiplanel_figures.ipynb |
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# # Analyzing IMDB Data in Keras
# +
# Imports
import... | IMDB-keras/IMDB_In_Keras.ipynb |
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import pandas as pd
# TODO: Set weight1, weight2,... | Deep Learning/Logical-Operator-Percetron.ipynb |
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# # Conjugate Priors
# + [markdown] tags=["remove-cel... | soln/chap18.ipynb |
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# # Character-Level LSTM in PyTorch
#
# In this notebo... | recurrent-neural-networks/char-rnn/Character_Level_RNN_Exercise.ipynb |
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import numpy as np
import pandas as pd
from skl... | 4thAssesed.ipynb |
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from hwt.synthesizer.interface import Interface
fr... | examples/hwt_tutorial_2_custom_interface.ipynb |
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# default_exp features
# default_cls_lvl 2
# -
# ... | 03_features.ipynb |
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# + [markdown] id="GWEKvPCCxJke"
# ##### Copyright 2020 The TensorFlow Author... | site/ko/addons/tutorials/image_ops.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Vital/Restructure_w_Implied_Vol_Surface.ipynb |
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# <a name="top"></a>
# <div style="width:1000 px">
#
#... | pages/workshop/Surface_Data/Advanced StationPlots with Mesonet Data.ipynb |
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import pandas as pd
from dotenv import load_dot... | notebooks/01_Business_Understanding.ipynb |
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"""
LICENSE MIT
2020
<NAME>
Website : http://www.covi... | src/france/covid19_departements_dashboards.ipynb |
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%serialconnect /dev/ttyUSB0 --baudra... | resources/example.ipynb |
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# # Out-of-core Learning - Large Scale Text Classifica... | notebooks/23.Out-of-core_Learning_Large_Scale_Text_Classification.ipynb |
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#
# ... | Tutorials/Day-04/solutions/Data_simulation_solution.ipynb |
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# In this script, we build CNN model2 (with Boston Tra... | train_predict_urban_safety.ipynb |
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# # Settings
# +
# %env TF_KERAS = 1
import os
sep_lo... | notebooks/Dstripes/Basic/dense/VAE/DstripesVAE_Dense_reconst_1ellwlb_05ssim.ipynb |
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# # Line Plot
# +
# %matplotlib inline
import matplot... | sphinx/scikit-intro/source/plot-line.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
from... | notebooks/bvarjav1/928/test ZG2.ipynb |
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# Copyright 2020 Google LLC
#
# Licensed under the... | notebooks/examples/Spark - Bank Marketing Demo.ipynb |
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# + [markdown] colab_type="text" id="W685A3V4qx1Q"
# #... | Lecture 18 Functions.ipynb |
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import pandas as pd
df = pd.read_csv("/home/shared/sp... | week08/examples_week08.ipynb |
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# # Generate spectrograms
# Script to generate spectr... | notebooks/00_2_generate_spectrograms.ipynb |
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using ClassicalOrthogonalPolynomials, Plots
# blu... | lectures/Overview10.ipynb |
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# ## Read into Python
#
# Let's first read the require... | main.ipynb |
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report = "../report/report.txt"... | usc-csci-ml/hw4/src/report format.ipynb |
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# # Converting Slocum data to a standard DataFrame
fr... | docs/notebooks/0001 - Converting Slocum data to a standard DataFrame.ipynb |
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# # Learning Pandas
# # Objectives
# - Setup
# - Set... | lifeexpentacy2.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Analyz... | benchmarks/high_effect/result_analysis_high_effect.ipynb |
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# # Intro to RegEx
#
# RegEx is a small programming la... | 2018/RegEx.ipynb |
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# # Simple fiber coupling analysis using Zemax's POP
... | Examples/IPNotebooks/02 Simple fiber coupling analysis using Zemax's POP.ipynb |
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# ## Getting started with SKIL from Python
#
# This no... | examples/keras-skil-example.ipynb |
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# # Predicting Student Admissions with Neural ... | student-admissions-keras/StudentAdmissionsKeras_mine.ipynb |
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# + pycharm={"name": "#%%\n"}
# the matchArray variabl... | scratch-pad/scratch-1.ipynb |
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# # CIFAR-10 utils
#
# This notebook contains function... | nbs/00_cifar.ipynb |
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# # Inference with baseline model (TF-IDF SVM classifi... | notebooks/archive/Inference.ipynb |
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# # `DSML_WS_04` - Introduction to Visuali... | 03_Workshops/DSML_WS_04_Visualization/DSML_WS_04_Visualization.ipynb |
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# # Telco Customer Churn: Focused customer retention p... | ml/telecom-churn-prediction.ipynb |
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# COMANDO PARA INSTALAR O PACOTE PANDAS VIA PIP
# CA... | DATA_PRE_PROCESSING/Python-Pandas .ipynb |
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# <img src="https://raw.githubusercontent.com/Qiskit/q... | awards/teach_me_qiskit_2018/w_state/W State 2 - Let's Make a Deal.ipynb |
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# <a href="https://colab.research.google.co... | examples/notebooks/documentation/transforms/python/elementwise/pardo-py.ipynb |
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# + id="6t25Q4DM9ZFL" executionInfo={"status": "ok", "timestamp": 16462973747... | 2022-03-21_Steel_REG_BL_Naive_1_2.ipynb |
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# # Motion detection via 3D convolution
#
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# # Parameter management
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# ### 5.3 Whole Slide Scoring - CNN Scores vs. CERAD-l... | 5.3) Whole Slide Scoring - CNN Score vs. CERAD-like Scores.ipynb |
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# #### This notebook collects all of the tweets for a ... | BasicDataClean.ipynb |
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import numpy as np
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# ### Map function in python
def even_odd(num):
i... | pypractise12.ipynb |
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from kafka import KafkaConsumer, KafkaProducer
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# | | final valid | average |
# | -------- | ------------------ | ------------------ |
# | baseline | 0.90567901234... | playground.ipynb |
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# # 100 pandas puzzles
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# Inspired by [100 Numpy exer... | 100-pandas-puzzles.ipynb |
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# + id="zBJLbaPM3XC9"
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file= pd.read_csv("HRDataset_v14W.c... | analytics,02_02_2022.ipynb |
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import numpy as np
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import tensorfl... | Labs/Lab2/Romil/.ipynb_checkpoints/avila_ann-checkpoint.ipynb |
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# # Julia 中的线性代数
# > Based... | zh-cn/intro-to-julia-ZH/简短版/02.Julia中的线性代数.ipynb |
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# ## Importing the Libraries
# +
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# # Segmentierung mit Stardist
# Dieses Notebook ist d... | 04_stardist/3_prediction.ipynb |
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# + colab={} colab_type="code" id="lbFmQdsZs5eW"
# ATT... | Exercise_3_Horses_vs_humans_using_Transfer_Learning_Question-FINAL.ipynb |
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# # Code Signal Exploring the Waters
# + [m... | CodeSignal/Arcade/Intro/04_Exploring_the_Waters.ipynb |
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# <a id="title_ID"></a>
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