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# %matplotlib inline
import numpy as np
import pandas ... | notebooks/spatial_hail_feature_importance.ipynb |
# -*- coding: utf-8 -*-
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#
# <a id='matplotlib'></a>
# <... | tests/project/ipynb/matplotlib.ipynb |
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# # Introduction to Data Analysis
# **Data Analyst Nan... | P2/p2_investigate_a_dataset.ipynb |
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# # Controlled Abstention Networks (CAN) for regressio... | regression/main_1D.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | analysis/Recurring_mutation.ipynb |
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# %matplotlib inline
import pandas as pd
import numpy ... | books/3model .ipynb |
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spark.version
# + id="6hKq-n7G62-2"
from pyspark.sql i... | algorithm/project_algor.ipynb |
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## OPERATION
# -
class Operation():
def ... | FBTA/ANN/Perceptron.ipynb |
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from keras.datasets import mnist
import matplotlib.pyp... | ml_repo/PCA/PCA.ipynb |
# -*- coding: utf-8 -*-
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using Rocket
using R... | demo/Infinite Data Stream.ipynb |
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# + id="H3ZPVmgmMGHg" colab_type="code" colab={}
# ライブラリのインポート
# %matplotlib ... | chapter3/section3_7_1.ipynb |
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# ## part 1 ##
testdata = '''2199943210
3987894921
98... | day9.ipynb |
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# ## Libs
# +
import os
import shap
impor... | notebooks/05 - MODELING.ipynb |
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# # Optuna Fash... | utils/03_optuna_mnist_cnn.ipynb |
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# ### Exercise 04 : Building the GAN network
# Import... | Exercise04/Exercise04.ipynb |
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# # Deep Learning with Python
#
# ## 3.5 Classifying n... | ch3/3.5 Classifying newswires.ipynb |
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# ## Segmenting and Clustering Neighborhoods in Toro... | Segmenting and Clustering Neighborhoods in Toronto - final notebook.ipynb |
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# %matplotlib inline
#
# # Using simple NumPy operati... | digital-image-processing/notebooks/numpy_operations/plot_camera_numpy.ipynb |
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# # Matrix factorization of an explicit feedback (rati... | application/part_1/ExerciseMF.ipynb |
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# + [markdown] id="9JSOqsx3RtcH" colab_type="text"
# # Code-lab on Reinforcem... | cruft/devfestahm_rl.ipynb |
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import sqlite3
from sqlite3 import Error
# +
def cre... | test/tests/sql_api.ipynb |
# Transformers installation
# ! pip install transformers
# To install from source instead of the last release, comment the command above and uncomment the following one.
# # ! pip install git+https://github.com/huggingface/transformers.git
# # Training and fine-tuning
# Model classes in 🤗 Transformers are designed ... | transformers_doc/training.ipynb |
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import h2o
from h2o.estimators.gbm import H2OGradientB... | H2O-GBM-Churn.ipynb |
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import pandas as pd
import seaborn as sns
import m... | analysis/Graphs.ipynb |
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# I was asked to revisit the difference between functi... | jupyter/Exercises 13.ipynb |
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# variables are defined with =
x = 4 # running this co... | basics2_loops.ipynb |
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# ### Sigmoid Layer
from IPython.dis... | Data_Science/Neural Networks and BackPropogation.ipynb |
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# # Comparing CLMM to NumCosmo
# This notebook compare... | examples/NumCosmo/modeling_cmp_numcosmo.ipynb |
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# # Chapter 12 - Principal Components Analysis with ... | Chapter 12 - Principal Components Analysis with scikit-learn/Chapter12.ipynb |
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# <img src="../images/QISKit-c.gif" alt="Note: In orde... | 5_games/quantum_magic_square.ipynb |
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# ## Web scrapping using python
#
# #### References
# ... | week1/notebook/scrapping_starter updated.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 24_example_deep_learning.ipynb |
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import sklearn
# !python -m pip install sklearn
# +
... | autompg_regression.ipynb |
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# # Automating Regression with Scikit-Learn
# TO DO
#... | Notebooks/Regression-with-Scikit-Learn.ipynb |
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# + [markdown] nbsphinx="hidden"
# # Spectral Analysis... | spectral_analysis_deterministic_signals/leakage_effect.ipynb |
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import numpy as np
import seaborn as sns
from matplotl... | Regression and Classification from Scratch/linear regression from scratch.ipynb |
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# %matplotlib inline
import numpy as np
import pa... | box_office_process_notebook.ipynb |
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# %load_ext autoreload
# %autoreload 2
import os
impor... | vehicle-detection-in-video.ipynb |
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# <table> <tr>
# <td style="background-color:... | python/Python16_Basics_Conditionals.ipynb |
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# ## Comprehensions
# ### The list comprehension
# I... | ch00python/037comprehensions.ipynb |
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#import matplotlib.pyplot as plt
#import seaborn a... | week9/mental-dsm-predict_prob.ipynb |
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# # 1 - Convert Data from VED
# This short notebook co... | 1-convert-ved.ipynb |
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from IPython.display import Image
import requests
... | Let_there_be_Color.ipynb |
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# %reload_ext autoreload
# %autoreload 2
# %matplotlib... | tutorial-A1-additional-tricks.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | LearningToPaint.ipynb |
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# # Frequentism, Samples, and the Bootstrap.
# New La... | Labs/Resources/stats_probs/Freq.ipynb |
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# #### New to Plotly?
# Plotly's Python library is fre... | _posts/python-v3/javascript-controls/figureWidgets/figurewidget_app.ipynb |
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from csd import CSD
from csd.typings.typin... | examples/csd_optimization_with_plots.ipynb |
// -*- coding: utf-8 -*-
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// # Aktualisieren d... | lessons/00_Organisatorisches/01_Aktualisierung.ipynb |
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# + [markdown] toc=true
# # Symmetric Planar Waveguide... | docs/3-Planar-Waveguide-Modes.ipynb |
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# ### Belajar memahami data dengan melihat visualisasi... | pertemuan6_metdat/data_understanding_visualisasi.ipynb |
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# # Introduction to `cf_xarray`
#
# This notebook is a... | doc/examples/introduction.ipynb |
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# + id="V58rxea0HqSa" colab={"base_uri": "https://localhost:8080/"} outputId=... | Vine_Review_Analysis.ipynb |
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# + [markdown] nbgrader={}
# # Project Euler: Problem ... | assignments/assignment02/ProjectEuler59.ipynb |
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# !pip install opencv-python
# !pip install pytest-shu... | detector.ipynb |
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# *Accompanying code examples of the book "Introductio... | code/model_zoo/pytorch_ipynb/autoencoder-deconv-2.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/W2D1_BayesianStatistics/W2D1_Tutorial4.ipynb |
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# ### Week 6 Homework Notebook
# This is to use for py... | Wk6/Wk6 Homework.ipynb |
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# # Auto Encoder with MNIST (or Fashion MNIST)
#
# * T... | latentvariable/autoencoder.ipynb |
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from sklearn import datasets
import numpy as np
mat =... | Mathine_Learning/.ipynb_checkpoints/pipelines-checkpoint.ipynb |
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# #### A NLP project that estimates the sentiment scores of ABC news hea... | nlp_estimate_sentiment_score.ipynb |
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import os
#import umap
import math
imp... | venv/distance_check.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | OOP_2.ipynb |
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# # Dirichlet process mixtures for density estimation
... | docs/source/notebooks/dp_mix.ipynb |
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# + active=""
# 说明：
# 实现一个 MapSum 类，支持两个方法，insert ... | Trie/1110/677. Map Sum Pairs.ipynb |
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# ## Impo... | notebooks/Data_Viz.ipynb |
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import pandas as pd
import numpy as np
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from sklearn.m... | HW_3_in_progress.ipynb |
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# +
# here we first need to impleme... | Our_code/Keras(not working)/older failed tests/old_train_teacher.ipynb |
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# UCSD... | model_1.ipynb |
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# # Verify Source and Target Databases and ... | notebooks/module2/1_Verify_Source_and_Target_Databases_and_the_Ingestion_Pipeline.ipynb |
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import os
from os... | python_tools/column_Data_CleanUp.ipynb |
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import lhsmdu
import matplotlib.pyplot as plt
import n... | lhsmdu/benchmark/Testing lhsmdu times.ipynb |
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# -*- coding: utf-8 -*-
"""
Created on Sat Apr 25 ... | Deep-Learning/GeneralizedMLP.ipynb |
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import cadquery as cq
# These can be modified rat... | examples/Ex004_Extruded_Cylindrical_Plate.ipynb |
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# + [markdown] id="xBF9RPBhw2we"
# ### Dataset Reading... | BiLSTM Models/With fastText/BiLSTM2 Covid-19.ipynb |
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# An LSF file is a binary file of concatenated IMC mes... | examples/lsf_parsing.ipynb |
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# Let's see if you need to unzip the data again.
# !ls... | notebooks/babble_youtube_task.ipynb |
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# ### Example of a 1D Channel driven flow
#
# Model Se... | docs/test/StokesEq_PoiseuilleFlow.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | module2-sampling-confidence-intervals-and-hypothesis-testing/LS_DS_142_Sampling_Confidence_Intervals_and_Hypothesis_Testing.ipynb |
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# ## Multi-label classification
# %reload_ext autorel... | Courses/DeepLearning_1/lesson2-image_models.ipynb |
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# # Formação Cientista de Dados - Prof. <NAME>
# Funçõ... | 1.Pratica em Python/scripts/6.Funcoes.ipynb |
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# # Recruitment limit simulations
# required librarie... | main/Simulating_recruitment_limit.ipynb |
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from IPython.core.display import display, HTML
display... | SNPs from Public Samples & tSNE Homoplasy Visualization/(F) t-SNE SNV Homoplasy Visualization.ipynb |
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a = falses(3,4)
a
a[2,2] = 1
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i = (3,3)
x = ra... | factorize_sets.ipynb |
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# # PyTorch `nn` package
# ### The Learning Process o... | tutorial_pytorch/2_torch_nn.ipynb |
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# + [markdown] colab_type="text" id="Tce3stUlHN0L"
# ##### Copyright 2019 The... | site/en-snapshot/tutorials/distribute/multi_worker_with_estimator.ipynb |
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## What The Heck Is The Latent Position Matrix, An... | network_machine_learning_in_python/representations/ch6/spectral_.ipynb |
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# # "Learning for Gold"
# > "Machine learning with mul... | _notebooks/2020-07-30-int-project-gold.ipynb |
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# + id="oS3PLcFyx2qV"
# Tratamiento de datos
# =======... | src/GradientBoosting/jf-model-1.ipynb |
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# + [markdown] id="H8ThuCTjEjuG" colab_type="text"
# # Notebook destinado a s... | visualizacao_de_dados.ipynb |
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# + id="QVOHeIOgD_4X" outputId="948f7f53-9498-4938-b944-2841991245... | Chapter 4/test2.ipynb |
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# %autoreload 2
#... | notebooks/Testing barcode extraction.ipynb |
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import numpy as np
import psycopg2... | query_db.ipynb |
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# Check nvcc version
# !nvcc -V
# Check GC... | comparisons/trash/inference_ADE_2_BiSeNetv1.ipynb |
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# ## 2020년 6월 26일 금요일
# ### BaekJoon - 11055 : 가장 큰 증가... | DAY 101 ~ 200/DAY141_[BaekJoon] 가장 큰 증가 부분 수열 (Python).ipynb |
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# # About this notebook
# ### The machine learning mod... | DFW Available Hospital Bed Forecasting.ipynb |
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# + id="HLU-f5CAapbg" executionInfo={"status": "ok", "timestamp": 16373166972... | Ml/MLproject/project.ipynb |
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# <NAME>
# patterns
n=int(input())
i=1
while i<= n:
... | Patterns 1.ipynb |
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# # Wildfire statistics
#
# PAIRS layer `50035` contai... | examples/WildfireStatisticsUSA/WildfireAnalytics.ipynb |