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# + [markdown] id="6ZiJWyW4_7u7"
# # Ungraded Lab: Sal... | Advanced Computer Vision with TensorFlow/Week 4 Visualization and Interpretability/Lab_3_Saliency.ipynb |
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# # DWD_historical_weather: Beispiel-Notebook
# #### ... | example.ipynb |
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# !pip install --quiet arcgis
import os
from arcgis.g... | SitingStaging/NED 13ArcSec Footprints.ipynb |
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from autogluon.tabular import TabularDataset, TabularP... | demo/walmart_recruiting/autogluon_kaggle_walmart_recruiting.ipynb |
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# + tags=["parameters"]
project... | notebooks/bigquery:nvdb.curated.tunneler_med_lop.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as p... | notebooks/devise/notebooks/06 - devise against sentence embeddings.ipynb |
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# # Number Theory
#
# By <NAME>
# In the blog post be... | _notebooks/2021-09-16-Number-Theory.ipynb |
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# %matplotlib inline
from __future__ import print_func... | examples/errvarexample_henry.ipynb |
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# Licensed to the Apache Software Foundation (ASF) und... | New_Code_run_SVI_13_5_NY.ipynb |
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# # Paddlepaddle实现浅层神经网络回归
#
# 在该实验中，我们将使用PaddlePaddle... | jupyter/5.deep_neural_network/Multi_nn_paddle.ipynb |
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... | human_general_analysis/archive/5_analyze_generic_genes_and_pathways.ipynb |
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# # High-leve... | notebooks/benchmarks/Keras_TF_CNN.ipynb |
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# ## Dataset loading
import numpy as np
import pandas... | Chapter04/001_IrisDataset.ipynb |
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# # Entropy Analysis
# ## Prolog
# ### Imports
# +
... | analysis.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
va... | Ejs.ipynb |
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# + [markdown] id="7K5EkziVyKW_" colab_type="text"
# **Building database with... | second_task.ipynb |
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# + id="fg7ioxFP93Ma"
#-*- coding: utf-8 -*-
import glob
import json
# + id=... | shixu.ipynb |
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# # katex-extension
# ## Example 1
# $$
# f(x) = \in... | notebooks/katex-extension.ipynb |
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# # Crawling #3 : Selenium Browser
# +
# 기존의 정적인 페이지 ... | crawling/crawling-with-browser.ipynb |
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# %matplotlib inline
#
# PyTorch: Defining New autogr... | Learning PyTorch/Learning PyTorch with Example/polynomial_custom_function.ipynb |
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# # The Python Standard Library
# String
for i in ra... | standard library.ipynb |
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# Remember to execute this cell with Contr... | functions/fun6-sets-sol.ipynb |
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# # KernelSHAP: combining preprocessor and predictor
... | examples/kernel_shap_adult_categorical_preproc.ipynb |
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from IPython.core.display import display, HTML
with op... | Python/Min-Sort.ipynb |
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# Imp... | DeepFashion2/fashion_train_alt.ipynb |
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import random
import cv2
import matplotlib.pyplot... | notebooks/replay.ipynb |
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# # Les types de modèles de propagation
# * Le modèle... | notebooks/Nouveau_modele.ipynb |
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# # Task 1
#
# Here we will see how our nn and autogra... | homework-1/micrograd/test_nn.ipynb |
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#
# # Insurance database
#
#
# Using MySQ... | insurancedb/Insurance - 2 From MySQL to Pandas df .ipynb |
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# environment set up
import tensorflow as tf
import te... | lab-notebook/smunukutla/2020-07-07-SAM - ICA.ipynb |
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# + [markdown] id="VXMWgtmQiRer" colab_type="text"
# # Libraries
# + id="8oG... | Lab5_2020/Lab5_03112163.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | tec_amostragem.ipynb |
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import pandas as pd
import numpy as np
import math
fro... | Week 5 Two sample Test -3.ipynb |
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# # Randomized Benchmarking
# ## Introduction
#
# One... | content/ch-quantum-hardware/randomized-benchmarking.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + id="AeE_RnZ_Pkda" outputId="575bd30b-7ed9-4a9b-c6c2-39951d9b34a8" executi... | A3.ipynb |
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# %reload_ext autoreload
# %autoreload 2
# %matplotlib... | notebooks/1.1-cemunds-MeshNet-Evaluation.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'><img sr... | practical_ai/archive/02-Pandas-and-Scikit-Learn/00-Series.ipynb |
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# # Automatic Speech Recognition combined with Speaker... | tutorials/speaker_tasks/ASR_with_SpeakerDiarization.ipynb |
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# https://discuss.huggingface.co/t/multilabel-sequence... | drop/multilabel_classification/anotherTry.ipynb |
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# # Pairs Trading
#
# _<NAME> (based on the Quantopian... | Pairs Trading.ipynb |
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# + [markdown] id="c1604535"
# <a href="ht... | demo/mmselfsup_colab_tutorial.ipynb |
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from seq2seq_beam import Seq2Seq
import sys
if int... | src_nlp/tensorflow/depreciated/seq2seq_beam_test.ipynb |
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# %matplotlib inline
import intake
catalog = intake.op... | small-cell-map.ipynb |
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# ## StackOverflow Survey Data analysis
#
#
# In this ... | StackOverflow_survey_analysis.ipynb |
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# Python 샘플 코드 #
from urllib3 import Request, ur... | etc/supply_api_data.ipynb |
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# ## _*Tutorial Algorithm*_
#
# This notebook is part ... | aqua/evolution_fidelity.ipynb |
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# #### 프로젝트 생성
# !scrapy startproject naver_article
... | Naver_Article_Scrapy.ipynb |
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# %load_ext autoreload
# %autoreload 2
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import pan... | toy_demo.ipynb |
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# # Gaussian mixture model random sample generation <b... | [4]_Random_sample_generation_for_backward_prediction/GMM_random_sample_generation.ipynb |
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# # Dask
#
# Dask is a flexible library for parallel c... | dask.ipynb |
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# ### Importante:
#
# El pr... | week9_ML_svm_poly_norm/day3_cicd_encoding_metrics_knn_svm_nlr/regression_metrics/metrics_with_linear_regression_exp2.ipynb |
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import sys
sys.path.append("../")
import time
from... | lesson3_vector_speed/.ipynb_checkpoints/1.vector_speed-checkpoint.ipynb |
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# + id="EHUwSNfz7l28" colab_type="code" outputId="89652ef4-bb39-45af-cd15-3b6... | Notebooks/DataPreperation.ipynb |
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BRANCH='main'
# +
"""
You can run either ... | tutorials/nlp/PTune_multiple_NLP_tasks.ipynb |
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# # Integrating Functional Data
#
# So far most of our... | code/04-integrating_functional_data_solutions.ipynb |
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# # Udacity DSND Project 1: Blog Post
# ### Table of... | TMDb_movie.ipynb |
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# # First Neurons
import numpy as np
import tensorflo... | 03-TF-Neural-Network.ipynb |
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from pyspark.sql import SparkSession
spark = SparkSess... | PySpark/Pyspark 5 Grouping.ipynb |
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# # Contents
... | 2_Predict_electricity_demand_with_the_GluonTS_and_SageMaker_custom_containers/02_deploy_gluonts_forecast_models_as_multi_model_endpoints.ipynb |
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# '
# name: python385jvsc74a57bd0b3ba2566441a7c06988d0923437866b63cedc615... | Mission_to_Mars.ipynb |
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# # Writing a Text File from Jupyter Notepad
# %%writ... | [Self Help] Python/Notes - Learning Resources/The Basics/[Notes] Basic Input Output.ipynb |
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# ## 0. Load Data
dataname = 'abalone'
from scipy.... | tutorials/Tutorial5_OD_abalone.ipynb |
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import math
import cv2
from matplotlib imp... | sw-notebook-notes.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Improv... | _notebooks/2021-03-09-Improving-the-chapter-5-classifier.ipynb |
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import numpy as np
import pandas as pd
import time
imp... | annotation_bias_evaluation/Appendix Figure 1 and Table 2 - Checking Angry Annotation Gender Bias.ipynb |
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# PROJ_LIB: /ext/anaconda-2019... | Sympy_QUIZ.ipynb |
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# + [markdown] colab_type="text" id="Ls2D-iRqty8x"
# #... | deconfounder_tutorial.ipynb |
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# +
# 载入标注文件
import json
import os.path as osp... | detect/work_at_height/exploratory_data_analysis.ipynb |
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#import libraries
import matplotlib.pyplot as plt
impo... | 2 Dimensional unsteady state conduction.ipynb |
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# + [markdown] origin_pos=0
# # Adadelta
# :label:`sec_adadelta`
#
#
# Adadelta是AdaGrad的另一种变体（ :numref:`sec_adagrad`），
# 主要区别在于前者减少了学习率适应坐标的数量... | d2l/pytorch/chapter_optimization/adadelta.ipynb |
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# + [markdown] id="0oGKniD-fesc"
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# # Object detection train 2.6.0 wit... | ODModelBuilderTF_Py/ODModelBuilderTF.ipynb |
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;; + vscode={"languageId"... | ch1/1.1/ex.1.01.ipynb |
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# # [pyFAI](https://github.com/silx-kit/pyFAI) cookboo... | binder/index.ipynb |
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from keras.preprocessing import sequence
from ke... | nlp/keras/keras_2_mlp.ipynb |
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import mxnet as mx
from mxnet.gluon.model_zoo impo... | notebooks/0.2.1-whs-transformWithMxNet_YOLO.ipynb |
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import matplotlib as mpl
import matplotlib.pyplot ... | Clustering.ipynb |
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# # Discrete Bayes Animations
import matplotlib.pyplo... | animations/discrete_bayes_animations.ipynb |
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import numpy as np
import seaborn as sns
import matplo... | notebooks/testColorPallet-Seaborn.ipynb |
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# # Table of Contents
# *... | machine learning/Logistic Regression.ipynb |
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# # plot.hist
# ## Help
# +
import scripts.plot.dist... | examples/plot/dist.ipynb |
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import os
import json
from copy import deepcopy
import... | preprocessing_reddit.ipynb |
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# !pip install matplotlib
# !pip install numpy
# !pip ... | Week02/recitation.ipynb |
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# # Feature Map Correlation
#
# Measures the correlati... | notebooks/featuremap_correlation.ipynb |
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# 이전에 쓰던거 복붙해서 한거라서 기재된 라이브러리를 다 쓰는게 아니라 신경안쓰셔도됨
from ... | project/ML/ML_i/5.krx_scraping.ipynb |
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# # Overview: Downloading Files
# This notebook provi... | demos/Overview 0 - Downloading Files.ipynb |
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# + [markdown] slideshow={"slide_type": "skip"}
# ![UK... | code/ukds-intro-to-python-2020-05-06.ipynb |
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# # Market Sharing
#
# ## Objective and Prerequisites
... | market_sharing/market_sharing.ipynb |
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# + id="Px_dw13ak33X" colab_type="code" colab={"base_u... | simpsons/Simpsons-PyTorch.ipynb |
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import numpy as np
import pandas as pd
import linearso... | Lecture Notebooks/Econ126_Class_14_blank.ipynb |
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# ## Dimensionality Reduction using t-SNE
# t-Distribu... | notebooks/17_sk_plotly_3d_scatter.ipynb |
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# # Four-strokes in Europe: Analyzing Eurostat vehicle... | Udacity_Data_Scientist_Nanodegree_project1.ipynb |
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# Computing Word Frequency for Brand Perception Interv... | research/brand-IDI.ipynb |
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import pandas as pd
import nump... | notebooks/zheng/train_BPE.ipynb |
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import sys
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from fastai_resn... | tutorial/tutorial.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | NeurIPSOpenReviewDatasetAndBenchmarksRound2.ipynb |
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import tensorflow as tf
tf.enable_eager_execution()
... | Untitled.ipynb |