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from sympy import *
init_printing(use_unicode=True)
fr... | PythonCodes/Utilities/Sympy/RotationMatrix.ipynb |
# -*- coding: utf-8 -*-
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# # List
# # Basic Lists
# ##... | tests/base/ipynb/lists.ipynb |
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# + [markdown] id="DtL9-HYd33kZ"
# # **Padding and Stride**
# + id="wmBSs502... | L11 Convolutional Networks/L11_5_Padding_and_Stride.ipynb |
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# The standard fare:
import numpy as np
im... | Labs/Lab9/Lab9.ipynb |
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# # Open Data from various sources
# +
# import os
# ... | 2019_conovarius/Population_Knoema.ipynb |
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# + id="9bOI4wnm9n31" colab_type="code" colab={}
# !git clone https://github.... | docs/train.ipynb |
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# ## Analyzing a random sequence
#
# In this notebook,... | examples/random-sequence.ipynb |
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import pandas as pd
import fastai
df ... | 03_classifier.ipynb |
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import pandas as pd
import numpy as np... | 03_Forecasting/03_modeling/modeling_test_weekly.ipynb |
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# # LIME (Local Interpretable Model-agnostic Explanati... | Explain Random Forrest.ipynb |
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import numpy as np
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from jenga.tasks.income import... | src/jenga/notebooks/impute-missing-values-siks-lecture.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | lab2_SPAM.ipynb |
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# Copyright 2015 The TensorFlow Authors. All Right... | ML_Assignment6/MNIST_conv2.ipynb |
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# # Data ingestion and ELT from object store
#
# NPS c... | nzpy/nzobjectstore.ipynb |
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# + id="Qhl-XDGhkAHl" colab_type="code" colab={}
# We ... | EN/p8_matplotlib.ipynb |
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# <font size=-1>Licensed under the Apache License, Ver... | workshops/tfx-caip-tf21/lab-02-tfx-pipeline/lab-02.ipynb |
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# import the modules
import pandas as pd
import numpy ... | FIFA_Project_Student-Template.ipynb |
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import torch
import numpy as np
from s... | notebooks/investigate_attention.ipynb |
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# # Population_Data_Visualisation
# +
## Importing im... | Experiment Scripts/Data_Visualisation_Code/.ipynb_checkpoints/Population_Data_Visualisation-checkpoint.ipynb |
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# # <span style = "color:black" > Meteorit... | keshri_pratham-final_project_part3.ipynb |
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# ### 使用Tensorflow作用于推荐系统
# ### 1 数据准备 - 以Movielens 为... | RecommendSystem/.ipynb_checkpoints/RecommendSystem-in-using-TensorFlow-checkpoint.ipynb |
# -*- coding: utf-8 -*-
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# + dc={"key": "3"} deletable=false editable=fal... | data-science-projects/Super bowl.ipynb |
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# # Traning YOLOv5 to detect t-shirts of Olympique de ... | OMxPSG_YOLO/training.ipynb |
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# ## Ordered Logit Example
#
# Let's suppo... | docs/source/getting_started/ordered_logit_example.ipynb |
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import os
import os.path as path
import numpy as np
import pandas ... | app/prediction/cwa_prediction/time_prediction/time_prediction.ipynb |
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# # Getting Started with JuMP
# **Originally Cont... | notebook/introduction/getting_started_with_JuMP.ipynb |
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import flowiz as f
import glob
import numpy as np
impo... | demo/test.ipynb |
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Car.objects.all()
# %matplotlib in... | dsi202/week11/projectname/Import Data.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <a ... | reports/presentation_2020-12-15/summary_2020-12-15.ipynb |
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# ### Answering Descriptive and Exploratory Questions ... | code/descriptive_and_exploratory_answers.ipynb |
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# # Plotting results from How_many.ipynb
#
# %pylab i... | Plots.ipynb |
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from mapmaker import A... | advanced.ipynb |
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import schedule
import time
def job_test... | schedule.ipynb |
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# **This script takes the best models and features fro... | notebooks/01m_Phase_2_ML_FullFeatureSet-BestInitialScaling_ak.ipynb |
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# # Crossword Puzzle
#
# <br>
#
# ![image](https://use... | Interview Preparation Kit/13. Recursion and Backtracking/Crossword Puzzle.ipynb |
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# + active=""
# div.output_prompt { visibility: hi... | analytical/.ipynb_checkpoints/formulating_the_question_low_sal_frac_flow-checkpoint.ipynb |
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# # Experimentation I... | lecture/experiments/intro_psychopy_I.ipynb |
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from openml.datasets import list_datasets, get_dataset... | src/cumulator/prediction_feature/utils/openml_datasets_retrieval.ipynb |
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# ### Problem Statement
# The task is to predict wheth... | notebooks/WNS Analytics Final.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Lane_object_detection.ipynb |
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# importing the libraries
import numpy as ... | Machine Learning/Principal Component Analysis/ML assign-2.ipynb |
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# # Introduction
#
# Lanugages do not strictly follow ... | chap1.ipynb |
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# # Learning Rate Finder
# + hide_input=true
from fas... | docs_src/callbacks.lr_finder.ipynb |
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import pandas as pd
import numpy as np
me_m = pd.... | course1/Quiz1.ipynb |
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# # Statistics of the lengths
#
# We want to check tha... | notebooks/statistics_of_the_lengths.ipynb |
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# # Metrolyrics (Pagination, scraping 1x per row)
# ##... | 09-homework/MetroLyrics.ipynb |
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# ## Script to create zonal mean of polygons (in shp f... | postprocess-avgs/other_fun_schitt/zonalstats.ipynb |
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# # The following blocks of codes are for ... | .ipynb_checkpoints/pruning_experiment2-checkpoint.ipynb |
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# +
import networkx as nx
import pandas as pd
import s... | notebooks/Modelagem Grafo SP/Validando modelagem - Contatos por Zona.ipynb |
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# # Solutions
# ## Problem 1
# Implement the Min-Max s... | Code/TF-NN-Lab/Solution_TF_NN_Lab.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | evaluation_methods.ipynb |
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# ### Q) How to add a particular attribute to each and... | 03 OOPS-1/3.04 Init Method.ipynb |
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# + [markdown] id="0KrR-Qd_wXf-"
# # Introduction
# +... | day99/deaths-by-police/Fatal_Force.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="... | Projects/CNN_Project.ipynb |
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# ## French Wikipedia Heading... | frwiki_heading_freq.ipynb |
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import numpy as np
import sympy as sym
import pydae.bu... | examples/ctrl/basic/washout_builder.ipynb |
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# # Run BERT-Large infe... | integrations/ml/azure/benchmark/benchmark_tensorflow_bertlarge_inference.ipynb |
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# ## Scaling estimates figure
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# [![Open In Colab](https://colab.research.google.com/... | data/dev/NQ_dataset_sample_local.ipynb |
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# + [markdown] colab_type="text" id="MhoQ0WE77laV"
# ##### Copyright 2018 The... | site/es-419/tutorials/keras/classification.ipynb |
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from datascience import *
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# # Data download and basic preparation
# ### <NAME>
#... | script_get_data.ipynb |
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# + [markdown] id="R0AV1AZygDzp" colab_type="text"
# # Introduction
#
# This ... | titanic/titanic.ipynb |
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# + id="pg7sF9FdJ96E"
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import os
model=keras.models.load_model('/... | 5_Evaluation_on_New_Images.ipynb |
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# # STANDALONE STUDY
# ## **SPATIAL FOURBAR**
# ------... | uraeus/smbd/utilities/serialization/structural/test/spatial_fourbar.ipynb |
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import pandas as pd
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import pyspark
... | scripts/postgres_docker.ipynb |
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# # 数学函数、字符串和对象
# ## 本章介绍Python函数来执行常见的数学运算
# - 函数是完成一... | 7.17.ipynb |
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# ## Wikidata.org
#
# Wikidata.org allows you to get i... | wikidata-org.ipynb |
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# + active=""
# Now it's time to test new tree.
# The... | scripts/notebooks/halo/Test_Trees.ipynb |
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# #!/usr/bin/env python
# -*- coding: UTF-8
# -
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# # ... | Assignments&Projects/Clustering/Clustering ML.ipynb |
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# # Tasks 2020
# Task submissions for October - Decemb... | FDA _Tasks2020.ipynb |
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# # Deep Learning from Pre-Trained Models with Keras
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# # calculating the bispectrum for survey geometry
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# %run ../Python_files/util.py
road_seg_inr_capac... | 01_INRIX_data_preprocessing_ifac17/INRIX_data_preprocessing_03_filter_speed_data_ext.ipynb |
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# # Chapter 6 : Visualization
# # Matplotlib version ... | Chapter06/ch-06.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
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# + [markdown] tags=["meta", "draft"]
# # GPS tracks
... | nb_dev_python/python_geopandas_gps_tracks_lines_en.ipynb |
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# # 03 - Conjoint analysis
# The exercises... | solutions/03 - Conjoint analysis.ipynb |
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import keras
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# ### Example #1
#
# Author : <NAME> (<EMAIL>)
#
# We ... | examples/example1_19348.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | notebooks/.ipynb_checkpoints/IMI-MIM k-eigensolver-checkpoint.ipynb |
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# **Download** (right-click, save target as ...) this ... | 7-SpecialNotebooks/.ipynb_checkpoints/Exam2-Fall2021-Deploy (1)-checkpoint.ipynb |
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# # On Benford's Law and NYC Taxi Trip Durations
# In... | taxi_trips_benford.ipynb |
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# # Class Coding Lab: Walkthrough
#
# For this class c... | content/lessons/01/Class-Coding-Lab/CCL-walkthrough.ipynb |
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# + id="qt7QZeHklDbq" colab={"base_uri": "https://localhost:8080/"} outputId=... | Face_Extraction.ipynb |
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# ## Cartilha criada com auxílio do canal ... | Python_Pandas.ipynb |
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"""
Zemberek: Word Analysis Example
Documentation:... | Analysis.ipynb |
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# # 1. test data
# ## 1.1 init
import pandas as pd
... | example/origin_code.ipynb |
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# 
# language: python
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# ... | tutorials/risk_averse_bo_with_environmental_variables.ipynb |
# -*- coding: utf-8 -*-
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# ## Starter Problems
# #... | Notebooks/BasicProblems.ipynb |
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# # Building blocks of a computer
# All t... | api-book/_build/html/_sources/chapter-1-computer/computer-specs.ipynb |
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# %matplotlib inline
imp... | Starter_Code/crypto_sentiment.ipynb |