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# + [markdown] colab_type="text" gradient=... | LOTR_LSTM_Character_Level_OneHot.ipynb |
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# + [markdown] id="ClOkvz0yb-gs" colab_type="text"
# L... | module3/NB_LS_DS_223_assignment.ipynb |
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import numpy as np
import pandas as pd
pd.set_opt... | 04. Code/Best Gov Policies.ipynb |
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# # StyleGAN2-ADA-PyTorch
#
# **Notes**
# * ... | SG6_T.ipynb |
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from __future__ import division
import numpy a... | src/Data_analysis.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | outputs/solver_analysis/LaplacianConvergence.ipynb |
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imp... | draft/mockup_scripts/mockup_sur_gpytorch.ipynb |
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# imports
import sqlite3
import pandas as pd
# creat... | module1-introduction-to-sql/assignment1.ipynb |
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# # Simulating DESI Spectra
#
# The goal of this ... | simulating-desi-spectra.ipynb |
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# # Importing the standard libraries
# +
import matpl... | Project/Multi-class object detection and bounding box regression with Keras, TensorFlow, and Deep Learning V_02.ipynb |
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# # Abstract
#
# A Census official would like to use a... | Midterm Technical Report.ipynb |
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from argparse import Namespace
import os
import t... | src/mnist.ipynb |
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# + id="SimCWmcWi0s5"
record = { 11602259 : {"name": "<NAME>" , "Pno": 1234, ... | Working with JSON Assignment/JSON_based_UMS.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | 06-Regression-Models/practice.ipynb |
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import util.preprocessing as preprocessing
import ... | util/detection-metrics.ipynb |
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import numpy as np
import pandas as pd
df = pd.read_c... | training/cross_validation.ipynb |
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from azureml.core imp... | module3/after/model_deploy_locally/deploy.ipynb |
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import urllib.request, json , time, os, difflib, itert... | data_scraping.ipynb |
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# # WeatherPy
# -... | resources/WeatherPy_Diana_solution.ipynb |
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# # DoWhy: Different estimation methods for causal inf... | docs/source/dowhy_estimation_methods.ipynb |
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# # Insert HTML in a NoteBook
# > How to write HTML in... | _notebooks/2021-04-18-TestHTML.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # I... | EDAproject/EDA_project.ipynb |
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% EE4C03
% ===
% Statistical Digi... | index.ipynb |
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# # Prepare All Data
# ### Import necessary modules
... | Caterpillar Tube Pricing/Preprocessing_All_Data.ipynb |
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import matplotlib.pyplot as plt
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im... | Cancer Comparisons Final.ipynb |
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# # Fix Alteration Filing Metadata
# ### ... | tests/data/Alterations_update_metadata/fix_alteration_filing_metadata.ipynb |
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# + [markdown] colab_type="text" id="DGPlYumZnO1t"
# #... | courses/machine_learning/deepdive2/launching_into_ml/solutions/intro_linear_regression.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Norod78_hebrew_gpt_neo_small.ipynb |
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# # Scene Classification
# ## 1. Preprocess
# - Import... | SceneClassification2017/backup/doc20170923/1. Preprocess.ipynb |
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# ##I am splitting v3_Clean_model_add_Pis_feat.ipynb i... | Note_books/Explore_Models/.ipynb_checkpoints/v2_Model2_Pisch_Eval_more_seasons_corsi_xg-checkpoint.ipynb |
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# # P21 Graphing Live Twitter Sentiment Analysis
#
# N... | lei/P21 Graphing Live Twitter Sentiment Analysis.ipynb |
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import os, sys
import scipy
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fro... | feinstein_notebooks/create_order_models_201123.ipynb |
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# # Face Generation
# In this project, you'll use gene... | face_generation/try_and_errors/dlnd_face_generation-b100.ipynb |
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# !pip install -r ../requirements.txt
from em_example... | LabExercise_1/DC_Layer_Cylinder_2_5D.ipynb |
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# # 第3部 Pythonによるデータ分析｜Pythonで学ぶ統計学入門
#
# ## 10章 分割表の検... | stats-newtextbook-python/samples/3-10-分割表の検定.ipynb |
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from keras im... | keras_custom_generator.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/Python_chapter2_ListLoop.ipynb |
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# + [markdown] colab_type="text" id="j1k6Y9afpxL6"
# #... | C1 - Build Basic Generative Adversarial Networks/Week 1/Intro_to_PyTorch.ipynb |
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# # Use scikit-learn and custom library to predict tem... | cpd4.0/notebooks/python_sdk/deployments/custom_library/Use scikit-learn and custom library to predict temperature.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="Xg0MysBbFf0X" outputId=... | nlp/nlpanalysis.ipynb |
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# %matplotlib inline
from pyvista import set_plot_them... | examples/04-lights/actors.ipynb |
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# # Last Mile Delivery Scheduling Problem
# We will b... | LMD_V0.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="H0k6MdAyNNYG" outputId=... | PPDL_NLP.ipynb |
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# + [markdown] id="HzSorCPNMpPX"
# **Note:** *Change to GPU runtime for faste... | Simple CNN.ipynb |
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# # Keras: Tabular Classify Binary
# ![mines](../imag... | docs/_build/html/notebooks/keras_binary_classification.ipynb |
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# Dependencies and Setup
impo... | pyber_final_wendychau.ipynb |
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# # Concentration of the norm for random vectors
# Bas... | Other Notebooks/norm_concentration.ipynb |
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# # Advanced Problem Answers
#
# ## Metaprogrammin... | Notebooks/.ipynb_checkpoints/AdvancedProblemAnswers-checkpoint.ipynb |
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# # Deploying and Interacting with Campaign... | workshops/POC_in_a_box/completed/03_Deploying_Campaigns_and_Interacting.ipynb |
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# + colab={"autoexec": {"startup": false, "wait_interv... | tests/wad_data_training.ipynb |
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# # Students Turn Activity 1 JSON Traversal Review
#
#... | Activities Week 6 (API)/Python_Api_Part2/Day2/Day2.ipynb |
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# + [markdown] nbgrader={}
# # Numpy Exercise 3
# + [... | assignments/assignment03/NumpyEx03.ipynb |
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# # Network visualization
#
# This notebook constructs... | notebooks/cancer-pathway1.ipynb |
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# + id="XQbgW2ifjSkB" colab_type="code" colab={}
import pandas as pd
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// # Load PyTorch model
//
// In this tutoria... | jupyter/load_pytorch_model.ipynb |
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# !pip install plotly
# !pip install chart_studio
# #... | analysis/notebooks/Labs/anchored-vwap-lab.ipynb |
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# # Tutorial 5: Model
#
# ## Overview
#
# ... | tutorial/beginner/t05_model.ipynb |
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# # Train a 'DESCRIPTION' classifier
#
# Instead... | sourcecode/descr_classifier.ipynb |
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# **Exercise set 5**
# ==============
#
#
# >The goal ... | exercises/05_Exercise_Set_5.ipynb |
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# # NumTopics: RTLWiki
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import gc
import pickle
im... | demos/NumTopics_RTLWiki_demo.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | practice/Tiantic.ipynb |
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# <center>
# <img src="https://gitlab.com/ibm/sk... | labs-jupyter-spacex-Data wrangling.ipynb.ipynb |
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# <font style="font-size:96px; font-weight:bolder; col... | mMakeHdr.ipynb |
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# #### 통계
# - 표본 분포
# - 통계적 추론
# - 전수조사 불가능
# - 표본 조사를 통해 모집단 해석
# - 표본 조사는 오차 발생
# - 적절한 표본 추출 방법
# - 표본과 모집단의 관계 ... | _notebooks/TIL9.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Unit_1_build_week.ipynb |
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# <img src="https://raw.githubusercontent.com/Qiskit/q... | terra/qis_intro/entanglement_introduction.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | CIFAR10_cnn.ipynb |
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import tensorflow as tf
import matplotlib.pyplot ... | TensorflowTUT2/301_simple_regression.ipynb |
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# +
import random
import copy
import logging
import sy... | analysis/dimensionalty_sim/plot_210614_1ba_signal_vs_noise_10_ref_delta.ipynb |
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from tensorflow import keras
from keras.models import... | notebooks/archive/run_models.ipynb |
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from face_recognition import load_image_file, face_enc... | 3_face_encoder.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | titanic/titanic.ipynb |
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# + id="cPWEkZgEXNuH" colab_type="code" colab={}
"""
This work is inspir... | Deep Dream/Deep_Dream.ipynb |
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# ___
#
#
# ___
# # Ecommerce Purchases Exercise
#
# I... | 07. Pandas Exercises/7.2 ecommerce_purchases_exercise .ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/W1D5_DimensionalityReduction/W1D5_Tutorial1.ipynb |
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# # Relatório de Análise VIII
# ##... | notebook/identificando-e-removendo-outliers.ipynb |
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import matplotlib.pyplot as plt
import numpy as np... | analysis/mf_grc_analysis/test_sigmoid.ipynb |
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from utilsADCN import dataLoader
from ADCNbasic import... | ADCN-creditcard.ipynb |
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# # Model with Metrics
#
# ## Dependencies
#
# ```pip ... | examples/models/template_model_with_metrics/modelWithMetrics.ipynb |
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# # The chaos game and the Sierpinski triangle
#
# Sou... | nb_sci_maths/maths_chaos_sierpinski_triangle.ipynb |
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import logging
logging.basicConfig(level=logging.ERROR... | hypergbm/examples/misc/feature_generation.ipynb |
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# # REINFORCE
#
# ---
#
# In this notebook, we will tr... | reinforce/REINFORCE-Copy1.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | docs/notebooks/GreyboxGrammarFuzzer.ipynb |
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# # <NAME> het hele jaar door
# Bespreking... | wwdw.ipynb |
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# # Introduction
#
# The notebook comes alive with the... | jupyter_interactive_widgets/notebooks/00.00-introduction.ipynb |
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# ## 投影
# ### PCA
import numpy as np
m = 60
np.random... | data_science/7_dimensionality_reduction.ipynb |
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# ### 导包
import numpy as np
import matplotlib... | keras_rnn_LSTM(regressor).ipynb |
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# + [markdown] _cell_guid="93fdd79c-3f56-47c6-9497-f0c... | stochastic-study/3.simple-stock-analysis.ipynb |
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from tensorflow import keras
model_enged = keras.mod... | Training/parallel_model.ipynb |
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# + [markdown] id="bV_8eZ_-ffaD"
# #Install Dependencies
# + colab={"base_ur... | resources/IHCI2021/Inter_Coder_Agreement.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="-nW-8StPOhv0" outputId=... | Experiments/PassiveSetting.ipynb |
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# + [markdown] colab_type="text" id="CCQY7jpBfMur"
# ##### Copyright 2019 The... | site/ru/guide/keras/overview.ipynb |
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# # Cloud forest demo
#
# This notebook demonstrates h... | demos/cloud-forest-demo.ipynb |
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# + id="HfnpnWU2rUmM" colab_type="code" colab={"base_uri": "https://localhost... | prc.ipynb |
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# download & unzip files (for windows user you hav... | a3_2021_template.ipynb |
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# + [markdown] colab_type="text" id="P6xk2_jLsvFF"
# #... | homework/04 Homework_Melissa.ipynb |
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from matplotlib.image import imread
import numpy a... | code/CH02/CH02_SEC06_2_Compress.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | tutorials/asr/05_Online_Noise_Augmentation.ipynb |