code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# # Notebook Intentions
#
# The data types used by MEP... | sandbox/20201_03_upack_ascii/unpack_ascii.ipynb |
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# # Selección óptima de portafolios I
#
# <img style="... | Modulo3/Clase14_SeleccionOptimaPortI.ipynb |
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# ## Im... | practice_1/ImageClassifier.ipynb |
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# In this post I am going to try to explain how to do the... | posts/wip/css_animation_filters.ipynb |
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import numpy as np
import os
from collections import n... | project/spark_hive_read_table.ipynb |
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import fire_simulation as fs
# This is a simple simul... | fire_behavior/Example.ipynb |
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# + [markdown] id="ssCOanHc8JH_"
# # Training Adversarial Inverse RL and Stat... | notebooks/braxlines/irl_smm.ipynb |
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import glob
import pandas as pd
import numpy as np
fro... | Aconex.ipynb |
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# # Climate Change and Deaths Caused by Lung Cancer An... | Climate_Change_Analysis.ipynb |
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# # Implementing a Recommende... | Keras-DeepRecommender-Shoes/2_Modeling/dense_5_Multiply_50_embeddings_10_epochs_dropout.ipynb |
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# # Face Detection Using CNN Algorithms
# >**This pro... | Face-Detection/Facial-Features-and-Face-Detection-CNN/Facial-Features-and-Face-Detection-CNN.ipynb |
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#hide
from utils import *... | _notebooks/clean/10_nlp.ipynb |
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# + [markdown] id="hX4n9TsbGw-f"
# ##### C... | src/text/word2vec.ipynb |
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# + [markdown] id="Rc3gPsMdLgmK"
# # T019 ... | teachopencadd/talktorials/T019_md_simulation/talktorial.ipynb |
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# # <center><font color='Red' text align='center'>The ... | mnist-dataset.ipynb |
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# # Pandas - DataFrames 3
import pandas as pd
import ... | python-datasci-bootcamp/03-Python-for-Data-Analysis-Pandas/t_dataframes_3.ipynb |
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# # Confusion plots
# Copyright (c) 2020-2021 <NAME>,... | vqseg/notebooks/confusion_plots.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | Assignment 4 ( Q no-1) Simple Linear Regression (1).ipynb |
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import jax
import jax.numpy as np
import numpy as ... | notebooks/logistic_regression_gradient_variance_trace_plots_paper.ipynb |
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# %load_ext autoreload
# %autoreload 2
from tf.app im... | data9/tfcython.ipynb |
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import seml
import pandas as pd
from matplotlib import... | notebooks/SEML.ipynb |
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import numpy as np
np.__version__
import numpy as ba... | 20-01-2020-numpy.ipynb |
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# %load_ext lab_black
import os
import gl... | skilled-nursing-totals/scrape.ipynb |
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# + application/vnd.databricks.v1+cell={"inputWidgets": {}, "nuid": "b1f363f4-31f7-4462-899e-de8e638ed2d7", "showTitle": false, "title": ""}
f... | projects/Spark and Python for Big Data with PySpark/Udemy_Section 16 Natural Language Processing.ipynb |
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# + [markdown] id="P2i_HYQtRLUr" colab_type="text"
# ### Below is the code fo... | Rotation_Equivariant_CNN_Ensembles.ipynb |
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# Name: <NAME>
# Nov 23, 2021
# -
# #... | S05NumPy/L01ArrayCreation.ipynb |
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# ### This jupyter notebooks provides the code for cla... | notebooks/WV11 - Evaluating truncated DWT preprocessing for classification.ipynb |
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# # 데모 - 우리는 AI를 사용하여, 수송에 영향을 주고 수익 증가 기회가 되기도 하는, 날씨... | AI for Supply Chains.ipynb |
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# name: python3__SAGEMAKER_INTERNA... | NeoCompileSample.ipynb |
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# %matplotlib inline
#
# Geological Timescale
# =====... | docs/source/examples/util/timescale.ipynb |
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# + id="sRsAVXNVc9mk" colab_type="code" colab={}
from joblib import load
top_... | Analysis/Content-Based/CB_Validation.ipynb |
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import numpy as np
import pandas as pd
import requests... | data_download_2017.ipynb |
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# %matplotlib inline
"""Sample notebook"""
import... | tests/client/apps/test_config/sample.ipynb |
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# + [markdown] colab_type="text" id="MhoQ0WE77laV"
# ##### Copyright 2018 The... | site/en/tutorials/keras/classification.ipynb |
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import pandas as pd
import numpy as np
import json
# ... | test_api_result_json.ipynb |
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# # Introduction
# ## Course materials
#
# - https://... | Content/Introduction/01-Introduction.ipynb |
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# # User requirements Research
# ### Research Questio... | User requirements_Portland.ipynb |
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# Resources
# - 链接: https://docs.python.org/3/library/... | file_and_directory_access/pathlib_offidoc.ipynb |
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# # Relevancy Analysis
# <div class="alert alert-info... | docs/load-relevancy.ipynb |
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import tensorflow as tf
config = tf.compat.v1.ConfigPr... | scripts/supp_fig1.ipynb |
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# ### Example. Study it carefully. A question from *T... | Jupyter Assignment 02.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Untitled26.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# First, l... | python/ast_examples.ipynb |
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# # **The neighbour-based recommendation for XXXXXXX**... | The neighbour-based recommendation.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | Udemy/Refactored_Py_DS_ML_Bootcamp-master/00-Welcome to the Course.ipynb |
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import sys
import datetime
sys.path.append... | notebooks/base_model_confidence.ipynb |
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import logging
import importlib
importlib.reload(l... | notebooks/bhno-with-adversary/21ChansOT.ipynb |
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# name: python36964bitplaygroundconda3a4... | notebooks/filter_drugbank.ipynb |
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# %matplotlib inline
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curr_path = ... | opc_python/gerkin/stan.ipynb |
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# # ... | Daily Progress/Day 8 - Object-oriented programming (OOP).ipynb |
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# Import libraries
import matplotlib.pyplot as plt... | distilbert.ipynb |
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# <small><small><i>
# All the IPython Notebooks in thi... | 003_Python_List_Methods/008_Python_List_reverse().ipynb |
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import matplotlib.pyplot as plt
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# Magic function to set the backend of mat... | docs/online-docs/notebooks/cosmicIntegration/5_MergersAsFunctionOfRedhisft.ipynb |
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# %pylab inline
import numpy as np
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Data_cleaning.ipynb |
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# **Categorical variables**
#
# 1. **Nominal**(order n... | code-basics-dummy-variables-one-hot-encoding.ipynb |
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from tpot import TPOTRegressor
import matplotlib.pyplo... | GLRM_CEST.ipynb |
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# # Blood only analysis
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sys.path.append("/home/jovyan/TF_NEW/... | research/glue/test_glue.ipynb |
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# # GLM: Robust Regression with Outlier Detection
#
# ... | docs/source/notebooks/GLM-robust-with-outlier-detection.ipynb |
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import pandas as pd
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import matplotl... | Chemical industry_occupation analysis.ipynb |
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# # Open the file
# My BU ID is U64501194
# Therefore,... | Assignment_1/Part_1_medals/Olympic Medal Code.ipynb |
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import numpy as np
import pandas as pd
from datetime i... | ML/learn/Python_For_Data_Analysis/time_series.ipynb |
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# # 4. Gaussian Mixture Models
# Gaussian Mixture Mod... | Machine_Learning/04-Unsupervised_Learning_Cluster_Analysis-04-Cluster-Analysis-Gaussian-Mixture-Models.ipynb |
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from evaluate import evaluate
from unet import UNe... | Pytorch-UNet-classification-segmentation/fyp_predict.ipynb |
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# # Imports
import pandas as pd
import numpy as np
im... | HIER/error_reader.ipynb |
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# # Testing extracting OSM data using Osmium
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impo... | Implementations/FY21/ACC_mapbox_traffic/test_integrating_traffic_into_GOSTnets2.ipynb |
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# # Implementing Feature Union
# Using the given custo... | 01_Data_Engineering/02_Machine_Learning_Pipelines/feature_union_practice.ipynb |
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# # Introduction
# <b>pandas</b> is a fast, powerful, ... | Notebooks/02-Pandas Introduction.ipynb |
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# # Basic regression: Predict fuel efficiency
#
# http... | src/tensorflow_lr/ML_basics_with_keras/tensorflow_basic_regression.ipynb |
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# <!--NAVIGATION-->
# < [ipycanvas: Interactive Canvas... | notebooks/04.Widget-libraries/04.05-ipyvolume.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 20202/dm_20202_0901_apriori.ipynb |
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# # Analyzing Open Source Baseball Data
#
# **This not... | baseball_jupyter_nb/01_Intro_SQL.ipynb |
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# https://github.com/jtsulliv/ML-from-scratch/blob... | nn_p2.ipynb |
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# ### Negative slice silently ignored when using ix
# ... | notebooks/2016-03-17-negative-slicing.ipynb |
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# Dependencies and Setup
import pandas as pd
... | Challenge/PyCitySchools_Challenge_testing.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/automated-machine-learning/regression-explanation-featurization/auto-ml-regression-explanation-featurization.ipynb |
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# # Exploring CSW access in Python using OWSLib with N... | CSW/CSW Testing NODC Geoportal.ipynb |
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# ![]... | slides.ipynb |
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import numpy as np
import xarray as xr
... | src/notebooks/Calc_layer_realistic.ipynb |
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# + [markdown] id="CPQA-QCdiov-"
# # ME-314 - Final Pr... | code/final project.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | ml/backprop/pytorch/Backprop.ipynb |
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# <img src="../fasp/runner/credits/images/FASPNotebook... | notebooks/FASPNotebook10-PhenoPackets.ipynb |
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OABC is any quadrilateral in 3D space.
P ... | Personal_Projects/vector math calculus 1.ipynb |
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import mwparserfromhell
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from psychrnn.tasks import rdm as ... | psychrnn/notebooks/Minimal_Example.ipynb |
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# # Introduction
# A lesson code cell
2 + 2
# A les... | dscreate/tests/files/no_solution_cells_notebook.ipynb |
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# <h1>Table of Contents<span c... | programs/CCATLXX TF feature production.ipynb |
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# + [markdown] id="0Hk4wNbNytnB"
# # ResNet-101 on CIF... | pytorch/12_resnet101_cifar10.ipynb |
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# ## algorithm
def eratosthenes(... | 100days/day 05 - eratosthenes sieve.ipynb |
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# # [Histogram](https://plotly.com/python/... | .ipynb_checkpoints/Histogram-checkpoint.ipynb |
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# loan data mining
# part 5
# Grid Search CV
imp... | loan5.ipynb |
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# # Querying the database of Chicago employees... | jl/demo/citydb-with-rabbit.ipynb |
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# # TensorFlow 2.0
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import os
from glob import glob
from ... | DL_TF20/Part 16 - callbacks - tensorboard-Antonio.ipynb |
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# # Implementing a Learning Rate Finder from Scratch
# > Choosing the right l... | _notebooks/2021-01-08-Implementing-a-Learning-Rate-Finder-from-Scratch.ipynb |
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from nltk.tokenize import RegexpTokenizer
from n... | artificial-intelligence-with-python-ja-master/Chapter 10/topic_modeler.ipynb |