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# %load_ext autoreload
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import cPi... | ipy_train/train_RGBA.ipynb |
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# # Assignment 1.1 - Python 101
#
# Python is an easy ... | Session1/Assignments/Assignment 1.1 - Python 101.ipynb |
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# This notebook is designed to allow you to tweak how ... | assets/InitializeWalkers.truncated.ipynb |
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# # 基本程序设计
# - 一切代码输入，请使用英文输入法
print('123')
# ## 编写一... | 910.ipynb |
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import cv2
import numpy as np
from matplotlib impo... | training/notebooks/Conversions.ipynb |
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# <a href="https://colab.research.google.com/github/DingLi23/s2search/blob/pi... | pipelining/exp-csse/exp-csse_csse_1w_ale_plotting.ipynb |
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# # Corpus and BGRF Composition
#
# We des... | balance_analysis.ipynb |
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# # Testing the tensor network simulator with... | examples/braket_features/TN1_demo_local_vs_non-local_random_circuits.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] slideshow={... | PDEWorkshop.ipynb |
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import pandas as pd
# # 1 - Create A Seri... | pandas/notebooks/Series.ipynb |
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# # Heave Compensation Example Script
# This script d... | examples/not_updated/heave_compensation_example.ipynb |
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# <h1><center> Análise de pellets plásticos como ferra... | notebooks/rotina_03_recortepellet.ipynb |
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import numpy as np
im... | 02 - Pandas Introduction/Part 2 - Conditional and more pandas.ipynb |
# -*- coding: utf-8 -*-
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# # Programming a Deep Neu... | Episode_9_and_10_Flux_/mnist_flux.ipynb |
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# # PEEWEE ORM
#
# Here I will demonstrate how to us... | 03_data_transformation_and_integration/03-peewee-orm-worldbank-demo.ipynb |
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# # Matplotlib
# ## Basics
#
# <NAME> (<EMAIL>)
#
# Th... | matplotlib/Matplotlib Introduction.ipynb |
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import cv2
import numpy as np
import matpl... | c2cGen.ipynb |
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from math import exp
import numpy as np
import pan... | chapter06/LR.ipynb |
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import numpy as np
from sklearn import datasets
from s... | perceptron_multi_layer.ipynb |
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# ## Identity Normalization in Residual Networks
#
# T... | papers/Identity Normalization.ipynb |
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import pandas as pd
from database.market import Market... | boiler/bitcoin_extraction.ipynb |
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# # Video Processing
#
# This notebook loads t... | video.ipynb |
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import numpy as np
arr = np.array([(1,2,5,4),(5,6,5,8... | MCA/Machine Learning/numpy array functions.ipynb |
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# # ART decision tree classifier attack
# This notebook ... | notebooks/attack_decision_tree.ipynb |
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# %matplotlib inline
fr... | climate_starter.ipynb |
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print(ord('h'))
print(chr(ord('h')))
# +
# hash?
# -
... | week4/hash_chains/hashing with chains.ipynb |
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# # Hats
# Train hats, both class consistent and class... | dense_correspondence/experiments/hats/training_hats.ipynb |
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# # Classification MNSIT Datasets
# - 로컬 컴퓨터를 이용할 때는 에... | 1. Beginner/Pytorch5_1_CNN_Classifier_MNSIT.ipynb |
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require 'daru'
df = Daru::DataFrame.new({b: [11,12,13,14,... | spec/dummy_iruby/Some daru examples.ipynb |
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# In this notebook, I will use the best of both the wo... | notebooks/3_fe_on_large_data_dask.ipynb |
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# ## 2021년 5월 22일 토요일
# ### BaekJoon - 통계학 (Python)
# ... | DAY 301 ~ 400/DAY373_[BaekJoon] 통계학 (Python).ipynb |
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# ## Assignment 1 | Data Types
#
# Add code cells as n... | assignments/assignment_1/assignment_1_Harasym_Gregory.ipynb |
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# + id="MF7BncmmLBeO"
import os
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im... | vaes/vae_hierarchical_example.ipynb |
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# # TensorFlow MNIST Tutorial
import tensorflow as tf... | notebook/Tutorials/tf-mnist.ipynb |
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import numpy as np
a = [[1,5,6], [3,5,1], [9,4,0]]
a... | examples/Untitled1.ipynb |
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"""
Create a list called numbers containin... | filtering, mapping, lambda.ipynb |
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# + [markdown] tags=[]
# <title><h1><b>Web Scraping e ... | WebScraping/proj_20210616_Scraping_and_Analyses/.ipynb_checkpoints/scraping_analyse-checkpoint.ipynb |
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# + id="4hHdaXD02QFo"
x=20
# + colab={"base_uri": "https://localhost:8080/"}... | PythonBasics.ipynb |
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# [Table of Contents](http://nbviewer.ipython.org/gith... | 09-Nonlinear-Filtering.ipynb |
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# %matplotlib inline
#
# `파이토치(PyTorch) 기본 익히기 <intro... | docs/_downloads/a085acf892f1c661e019dd5c0fc402fd/optimization_tutorial.ipynb |
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% # Chapitre 0.1 - Prise en main
%... | Chapitre 0 - Guide d'utilisation/Chapitre 0.1 - Prise en main.ipynb |
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# <img style="float: left;;" src='../Imagenes/iteso.jp... | Modulo2/Code/2.3.-Aprendizaje No supervizado Kmeans.ipynb |
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# + [markdown] deletable=true editable=true
# # Treasu... | Bond Fund Simulator.ipynb |
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# # Compute transforms from aspect solution DY/DZ to C... | asol_to_chip_transforms.ipynb |
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# + [markdown] Collapsed="false" _cell_guid="d3b04218-... | Machine Learning/Natural Language Processing/nb-svm-strong-linear-baseline.ipynb |
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# ### Working With STAC
#
# Need to run at scale? chec... | Notebooks/WorkingWithSTAC.ipynb |
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# # "[NDIR] (ENG) Hard-negative Mining for... | _notebooks/tech-review/(eng)hard-negative-mining-for-mir-flickr-1m-dataset.ipynb |
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import Preprocess as util
import pandas as pd
import s... | Data Analysis.ipynb |
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import pandas as pd
import numpy as np
fr... | scratch/noaa_scrape.ipynb |
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# # <center> PORTFOLIO BLOG </center>
# INFO 7... | NEU_ADS_Student_Project_Portfolio_Examples/Detection of Brain Illnesses using Machine Learning/Project/PortfolioBlog.ipynb |
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from keras.layers import Convolution2D
from keras.laye... | Intel-Placeimage-Classification using cnn.ipynb |
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import time
import pickle
import numpy as np
from... | misc/saving_LR_results.ipynb |
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# # matplotlib
#
# Matplotlib is the core plotting pac... | content/04-python-matplotlib/matplotlib-basics.ipynb |
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# + [markdown] id="Fi4s3f_Pcfi8"
# # Fast RCNN for obj... | samples/vc-fast-rcnn-object-detection/Experiment.ipynb |
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# # Function Practice Exercises
#
# Problems are arran... | 02-Function Practice Exercises.ipynb |
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# # Plot classification probab... | 01 Machine Learning/scikit_examples_jupyter/classification/plot_classification_probability.ipynb |
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# + [markdown] id="2xg1OCvqO6YI"
# Welcome to the modu... | 8. Machine Learning-2/1. Advanced Regression/.ipynb_checkpoints/Linear+Regression-checkpoint.ipynb |
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# # Semi ... | Apartment_price_data_analysis/semi_project_team4.ipynb |
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import xarray as xr
import matplotlib.pyplot as pl... | Matching Satellite UK Smart Buoy (Dowsing) (4).ipynb |
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# # Tutorial 01: Running Sumo Simulations
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# This tut... | tutorials/tutorial01_sumo.ipynb |
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# # Practice Exercise... | code/4 Data Analytics/Practice Exercises 4.ipynb |
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# ### 재귀에서 반복문으로
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class Varia... | Deep Learning/backpropagation/step08.ipynb |
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# .. _asmens_userguide:
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# Asmens koda ... | docs/source/user_guide/clean/clean_lt_asmens.ipynb |
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# # <NAME>., et al. "Symmetric Rydberg controlled-Z ga... | results/run_Saffman_shape-o1tgate_fixo2d1d2/examples/Saffman_shape-o1_fix-o2d1d2.ipynb |
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# # Assignment 3
# Loading the libraries
import panda... | IMDB_Recommendation_System.ipynb |
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# # Customer Segmentation
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# We will be using E-comme... | Cust_segmentation.ipynb |
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# # Tutorial 6: Important Methods in Pandas
import pa... | jupyter/pandas-tut/06-Important Methods.ipynb |
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# # Amazon SageMaker Experime... | advanced_functionality/distributed_tensorflow_mask_rcnn/mask-rcnn-experiment-trials.ipynb |
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... | Classifier/.ipynb_checkpoints/GAN_Ensemble_Classifier-checkpoint.ipynb |
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# ### EJEMPLO DE CORRIDA DEL ALGORITMO: PARTICLE SWARM... | notebooks/borradores/Ejemplo_ParticleSwarm.ipynb |
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# # Project 2: Investigate the dataset TMDb movie data... | Investigate_a_Dataset.ipynb |
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# # TASKS
# This notebook is for solutions to the vari... | Tasks.ipynb |
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# # Imports
import pandas as pd
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# Copyright 2021 Google LLC
#
# Licensed under the Apache ... | gc-ai-notebook-tutorials/tutorials/vertex_samples/pipelines/metrics_viz_run_compare_kfp.ipynb |
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# # Complex NetCDF to Zarr Recipe: TerraClimate
#
# #... | docs/tutorials/terraclimate.ipynb |
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# We begin similar to the tutorial:
impo... | Code/Jupyter/DataAndTensors_solutions.ipynb |
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# # Functions
# We have used functions is ... | docs/02_python_basics/09_custom_functions.ipynb |
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from keras.datasets import mnist
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import numpy as np
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# # Quantum error correction - bit-f... | QEC_BitFlipCode/QEC_BitFlipCode.ipynb |
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# + [markdown] colab_type="text" id="NXW9aGLroXsV"
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# # Single network model theory
#
# ## Foundation
# T... | network_machine_learning_in_python/representations/ch5/single-network-models_theory.ipynb |
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# ## Connecting to Presto
#
# Presto ships with a CLI.... | jupyter/f8_demo.ipynb |
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"""
Get data of google search results of books and aut... | notebooks/07_scrape_google.ipynb |
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# # Overview
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# This a notebook that inspects the res... | Tools/Visualization.ipynb |
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# ## This code is used to simulate some experiment usi... | sd/SimulationExperimentCode.ipynb |
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import pandas as pd
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# ## Clean Evaluation
#
# dataset
# - cifar10
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# + [markdown] button=false deletable=true n... | ML0101EN-RecSys-Collaborative-Filtering-movies-py-v1.ipynb |
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