code stringlengths 38 801k | repo_path stringlengths 6 263 |
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import json
import os
dictResponses={}
fileList = ['... | Notebooks/ViewData.ipynb |
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# + pycharm={"name": "#%%\n"}
import torch
from PIL.Im... | bin/OCR.ipynb |
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# # Displaying vegalite with R
#
# Much ... | applications/desktop/example-notebooks/vegalite-for-r.ipynb |
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# # Deep Learning for Natural Language Processing with... | 1-3_DeepLearningForNaturalLanguageProcessingWithPytorch.ipynb |
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# ## Install nightly version of TensorFlow.
#
# You ne... | quests/serverlessml/install_nightly.ipynb |
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import requests
import pandas as pd
import sys
sy... | examples/Crossfilter example.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | av-independence-day-hackathon.ipynb |
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# # Sudoku
#
# This tutorial includes everything you n... | examples/cp/jupyter/sudoku.ipynb |
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# # Create a file with hands and Classes
from deuces.... | src/Generator_poker_hands.ipynb |
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import numpy as np
# %matplotlib inline
import matplot... | tiny-imagenet/clip_and_rescale.ipynb |
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# %config IPCompleter.greedy=True
import pandas as pd
... | Heros1.ipynb |
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# + id="zjZww9cMGFhH" colab_type="code" outputId="ef8763e2-06b6-4dc3-8901-cea... | finch/tensorflow2/text_matching/chinese/main/pyramid.ipynb |
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from workflows import DYStudiesProcessor
import j... | processor_dev.ipynb |
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# # TP53
# +
i... | src/checks/TP53.ipynb |
# %matplotlib inline
from fenics import *
parameters["plotting_backend"] = 'matplotlib'
import pylab
# +
__author__ = "<NAME> <<EMAIL>>"
__date__ = "2012-01-19"
__copyright__ = "Copyright (C) 2012 <NAME>"
__license__ = "GNU LGPL version 3 or any later version"
# Modified by <NAME>
# Last changed: 2016-04-10
# Cre... | notebooks/02_static_linear_pdes/kul/poisson2.ipynb |
// -*- coding: utf-8 -*-
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// ## Interfaces
//
// ... | Interfaces.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # E... | evaluation_metrics.ipynb |
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# # Module 3 Required Coding Activity
# Introductio... | Python Absolute Beginner/Module_3.2_Required_Code.ipynb |
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# %pylab inline
#... | notebooks/Example01.ipynb |
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# # T1574.002 - Hijack Execution... | playbook/tactics/privilege-escalation/T1574.002.ipynb |
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import tensorflow as tf
import numpy as np
import matp... | 17-Sept-2018/CIFAR-10 - Worked Out Example.ipynb |
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# # Description
# In this notebook we explore the atti... | notebooks/03-Attitude_update.ipynb |
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# # process_fgmax
#
# Read in fgmax results and produc... | examples/tsunami/radial-ocean-island-fgmax/process_fgmax.ipynb |
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# # Syntaxe des listes en compréhension
# Lorsque l'o... | 01_donnees_en_tables/correction/02_syntaxe_listes_en_comprehension_correction.ipynb |
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from scipy.io import loadmat
import numpy as np
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# # Mandatory assignments
#
# ## Mandatory assignment ... | homepage/content/.ipynb_checkpoints/mandatory-checkpoint.ipynb |
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import torch
# ### Why you need a good init
# To und... | nbs/dl2/02b_initializing-Copy1.ipynb |
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# hash: dca0ade3e726a953b501... | training/distributed_training/pytorch/data_parallel/maskrcnn/pytorch_smdataparallel_maskrcnn_demo.ipynb |
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# + [markdown] nbpresent={"id": "d6c34227-ffbc-4a95-b0... | material/jupyter/intro-jupyter.ipynb |
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# # Getting deeper with Keras
# * Tensorflow is a powe... | 1 Introduction to Deep Learning/week2/Keras-task.ipynb |
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#Importing Libraries for data preparation
import panda... | PXL_DIGITAL_JAAR_2/AI & Robotics/Week 11/docker_notebooks/keras/jupyter/NeuralNetworks.ipynb |
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# <small><small><i>
# All the IPython Notebooks in thi... | 002_Python_Functions_Built_in/011_Python_compile().ipynb |
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# # Introduction to K... | guides/ipynb/intro_to_keras_for_engineers.ipynb |
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# # Car Price Prediction
import datetime
... | car_price_prediction.ipynb |
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import matplotlib.pyplot as plt
import numpy as np... | notebooks/U-net prediction.ipynb |
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# %matplotlib inline
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from h... | demos/StormTrackingDemo.ipynb |
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import kera... | analysis/coiled_coil_binders/train_scrambler_coiled_coil_binders_target_lum_01_epochs_20_gumbel_rand_bg.ipynb |
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# !pip install transformers[sentencepiece]
# !pip inst... | summer21/ext_csds2hf/S_annotype_with_text_classification.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | sagemaker-deepar.ipynb |
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# ## Python statistics essential training - 03_01_visu... | 03_01_visualization_begin.ipynb |
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"""
The MIT License (MIT)
Copyright (c) 2021 NVIDIA
Pe... | stand_alone/aFe1_2level_learning_mnist_matmul.ipynb |
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# ## Predict results for test data
# ref: http... | sklearn/Predict.ipynb |
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import sys
import os
import glob
import re
im... | code/python/notebooks/20210919_testing_wikidata.ipynb |
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# + [markdown] tags=[]
# # Process Discove... | notebooks/2-fpn-discovery-models-synthetic-log.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | notebooks/shared/ClassDiagram.ipynb |
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# ## Strings
# Strings have already been discussed in... | Intro-to-Python/04.ipynb |
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# name: pythonjvsc74a57bd067b393f23005f5647497c50fa99fb25b525d8642232b1bdc0... | applications/solvers/cokeCombustionFoam/SegregatedSteps/runs/complicatedPorousMedia/combustions/optimize/tiny2_7/analysis/analyzeCombustion.ipynb |
# -*- coding: utf-8 -*-
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# + Collapsed="false"
usin... | notebook/segmentation3d.ipynb |
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import pandas as pd
import gspread
from oauth2client.... | Zillow_WB.ipynb |
# -*- coding: utf-8 -*-
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# # Observing raw data before processin... | Pipe_2-bash_raw-data-quality.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/vendor_scheduling.ipynb |
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# + [markdown] id="gzLKlf9l9UCC" colab_type="text"
# To aid autoassociative r... | 2020-1/07.1 Inference (recognition of full pattern).ipynb |
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import numpy as np
from utils import *
import tensorfl... | text-classification/52.fast-text.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Project_2.ipynb |
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# + code_folding=[21, 43]
import logging, os, json, gl... | models/submission.ipynb |
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# ##### Copyright 2018 The... | Intro-to-TensorFlow/Time-Series-Forecasting/moving_average.ipynb |
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# # Constructing a hi... | model_user_guide.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
fr... | Dataset 3 - Flu Classification/Decision Tree Codes/cross_validation_mcc.ipynb |
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# # Analysis of order of contigs with QUAST
#
# In ord... | results/hyasp_quast_analysis_ncbi_filtered.ipynb |
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# # <img... | content/homeworks/hw08/cs109b_hw8_submit.ipynb |
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# ### Connect to the example "Chinook" database and li... | dataquest/notebooks/lesson_sql_complex_queries/SQL_Building_and_Organizing_Complex_Queries.ipynb |
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# %reload_ext autoreload
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# # Introduction
# In this notebook, we'll be making n... | Introduction.ipynb |
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# Copyright (c) Microsoft Corporat... | python-sdk/tutorials/automl-with-azureml/forecasting-backtest-single-model/auto-ml-forecasting-backtest-single-model.ipynb |
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# I want to be able to sit down and try an image proce... | blog/2021-05-02 image pipeline.ipynb |
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# # Hello, this is my first notebook, reading the data... | second.ipynb |
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# # Aprendizaje Automatizado con Regresión Lineal Simp... | AA/MLRegresionSimple.ipynb |
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import nums.numpy as nps
f... | examples/notebooks/logistic_regression.ipynb |
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# # Forming Queries
#
# Get Familiar with querying the... | book/tutorials/database/3_forming_queries.ipynb |
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// # User defined modu... | Ch07-Modules.ipynb |
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# **This notebook is an exercise in the [Introduction ... | Platforms/Kaggle/Courses/Intro_to_Machine_Learning/7.Machine_Learning_Competitions/exercise-machine-learning-competitions.ipynb |
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## Imports
import numpy as np
import pandas as pd
impo... | Code/project code from discovery cluster/Comparison_EPOCHS.ipynb |
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# # package
# ## MediaPipe pose
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messages=pd.read_csv(... | Spam Classification.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | onnx/onnx-inference-mnist-deploy.ipynb |
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# + [markdown] id="UE4eky2QYcXB"
# If you are interest... | catboost/old_notebooks/catboost_regression_grainsize.ipynb |
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# # Simulation of Elzerman readout
# In this notebook... | docs/notebooks/analysis/example_elzerman_readout.ipynb |
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# # User Guide
#
# This package provides a common inte... | docs/source/notebooks/user_guide.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
#
# ## Proj... | .ipynb_checkpoints/Part 1 Camera Calibration and Writeup preparation-checkpoint.ipynb |
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# # Aries Basic Controller - Basic Message Example
# ... | demo/alice/basic-message.ipynb |
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#importing matplotlib
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# # Data Hacking - Day 1
# **ISTO É UM MARKDOWN**. Se... | projeto_gastos_politicos/.ipynb_checkpoints/1 - Data Cleaning-checkpoint.ipynb |
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# # Sequence classification by RNN
#
# * Creating the ... | 03.06.sequence.classification.Multi.RNN.ipynb |
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# # Hello World
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# <font size = "5"> **Chapter 2: [Diffraction](CH2_0... | Diffraction/.ipynb_checkpoints/CH2_09-Unit_Cell-checkpoint.ipynb |