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doc/mk.ipynb
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Day 6 - Decision Tree Regression/Decision Tree Regression.ipynb
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Semester/SW01/SW1.2.ipynb
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02_bag.ipynb
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Day 10.ipynb
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ReviewQuestions_ExampleSolutions/02_DataStructures_Libraries__ClassMaterial.ipynb
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lect08_requests_BS/2021_DPO_8_2_intro_to_parsing.ipynb
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example_model/transfer_learningv2.ipynb
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processing_components/notebooks/imaging-mfs.ipynb
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medal_counting2.ipynb
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VacationPy/VacationPy.ipynb
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clean_bat.ipynb
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python/third-party/tensorboard/pytorch/visualizing_pics.ipynb
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Basic/PCA/pca_fig.ipynb
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Problemas 7.0/19.ipynb
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report/dev_scored_record_sampling.ipynb
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research/develop/2016-12-01-irio-anomalies-in-meal-prices.ipynb
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Assignment2.ipynb
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ipy_test/NEW_TRAIL_CYLINDER.ipynb
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notebooks/Unpack+Data.ipynb
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String/1123/1295. Find Numbers with Even Number of Digits.ipynb
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.ipynb_checkpoints/0917_training_template_ResNeSt_265_ff1010-checkpoint.ipynb
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BSSN/Psi4Cartesianvalidation/Tutorial-Psi4-Cartesian_validation.ipynb
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_notebooks/2020-08-06-dynamic.ipynb
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topics/mc/Off-Policy MC Control with Weighted Importance Sampling.ipynb
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Two Pointer/1018/844. Backspace String Compare.ipynb
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generate_mapping.ipynb
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MC/Off-Policy MC Control with Weighted Importance Sampling.ipynb
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jupyter_book/book_template/notebooks.ipynb
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Day1/morning_python_intro.ipynb
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Examples/python_variants.ipynb
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EDL_4_ES.ipynb
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Ch4_Recursion.ipynb
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module5/s1_language_detection.ipynb
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nbs/_04_reformer.ipynb
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Morocco model/Butane calculations.ipynb
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Pandas/5.1 Exercises-1.ipynb
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max_subarray_conquer_divide.ipynb
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notebooks/2_straddle.ipynb
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WGBH-DCAMM/DCAMM/Hour_Analysis_By_Craft_Level.ipynb
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notebooks/hawkins_automate_example.ipynb
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doc/compare-wxsc-largest-galaxies.ipynb
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04 - Run Experiments.ipynb
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EDA/04_MAILOUT.ipynb
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foresee/examples/basic tutorial [ one time series as a single column dataframe ].ipynb
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MLiA/SVM/simpleSMO.ipynb
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examples/Community Modeling/Index.ipynb
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mltk/examples/profile_model.ipynb
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src/06_Modulos_Analise_de_Dados/08_Pandas_Dataframes.ipynb
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transfer-learning-Keras/bottleneck_features.ipynb
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notebooks/02_prepare_dataset_beam.ipynb
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wavelet_test.ipynb
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src/py/7-distance-error-data-based.ipynb
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Cleaning emp_length.ipynb
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notebooks/imodels_demo.ipynb
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session1.ipynb
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Auxiliaries/vidToFrames.ipynb
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Module3/Module3 - Lab2.ipynb
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game.ipynb
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gan_models/metric_anaylsis.ipynb
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viz4.ipynb
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Analysis/Data Cleaning Utils.ipynb
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Python/add_cogs_as_asset_BNL_UAS_KG_CHM.ipynb
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003-学习 Pandas/读写CSV文件.ipynb
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examples/user-guide/content/5-dev.ipynb
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UnivariateModel/KNN.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .r # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: R # language: R # name: ir # --- # # Sample notebook in R for accessing the Agrim...
geospatial-workflow-examples/Rothamsted_geospatialMeasures_demo_using_utility_functions.ipynb
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Code/2.OOP/1.OOP.ipynb
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assignment02/Assignment_2_preprocess.ipynb
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abdis_machine_learning_handbook/_build/html/_sources/5_software_engineering/python_classes_inheritence_more.ipynb
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.ipynb_checkpoints/dataset_understanding-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # This is a notebook that runs PFLOTRAN in the backe...
notebooks/WithPFLOTRAN/1DColumn/1D_Column.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ## 1. Import Libs import torch from torchvision imp...
19) ImageTranslation/CycleGAN/3. CycleGAN_test.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import numpy as np import astropy.units as u import as...
magic_conch/notebooks/false_positive_rate.ipynb
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jupyter/python/brokersWay.ipynb
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combine-nodes.ipynb
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notebook/frontpage_wiki.ipynb
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Api_data.ipynb
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notebooks/3.2_Model_Age_Ratings_with_Lyrics.ipynb
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site/en/tutorials/generative/autoencoder.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Задание 3.2 - сверточные нейронные сети (CNNs) в P...
solutions/assignment3/PyTorch_CNN.ipynb
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preparing-gcp-ml-engineer/introduction-to-tensorflow/load_diff_filedata.ipynb
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1am_SUN_Mar_8_build_2.ipynb
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ML0120EN-4.1-Review-RBMMNIST.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Activity recognition with healthy older people usi...
Codes/d1p01M.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Lesson 3 Demo 4: Using the WHERE Clause # # ### I...
01-datamodeling/03-nosql-data-models/lesson-3-demo-4-using-the-where-clause.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3.9.6 64-bit # name: python3 # --- # <!-- <font color="#30e4ac"> --> # <h1>Python function returns</h...
functions/4)return_statements.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Using the Scheduler # # ## Basic usage # + import...
docs/tutorials/advanced/terra/pulse/pulse_scheduler.ipynb
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Linkedin/Opencv/Untitled.ipynb
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Improved Approach Hyperparameter Tests/OL2-Net_optimizers_hyp.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + id="sK1RNVHrYnzO" import tensorflow as tf import os import random import ...
Pneumonia_Classification.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + from xyplot import Curve x = float(input(">")) a ...
physics-lab/CMRRwithVoltageFollower.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- # # Sub population Analysis # \[_In case ...
notebooks/sub-population-analysis/main.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- # # Time Series Forecasting with ARIMA # ...
ARIMA2.ipynb
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examples/slip_on_grass.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 2 # language: python # name: python2 # --- # # CCL feature demo # **SLAC 2018 DESC meeting** # I...
examples/SLAC Feb2018 Demo.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd import requests import os import j...
Walmart/Walmart_Prudhvi.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd import numpy as np import nltk fro...
Model_1st_Half.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # <center>MobileNet - Pytorch # # Step 1: Prepare d...
Main_scripts_04.ipynb
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examples/shapenet_iccv17/unet_24_detailed.ipynb