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# # Adam
# :label:`sec_adam`
#
# In the discussions leading up to this section we encountered a number of techniqu... | python/d2l-en/mxnet/chapter_optimization/adam.ipynb |
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# ## Import Libraries
import csv
import re
import war... | f0014/f0014-b.ipynb |
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# + [markdown] tags=[]
# # MBQC Quick Start Guide
#
# ... | tutorial/mbqc/MBQC_EN.ipynb |
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# #### Name: <NAME>
#
# Date: 7/3/2018
#
# Version: 3.... | excel.ipynb |
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# <a href="http://landlab.github.io"><img style="float... | notebooks/tutorials/tectonics/listric_kinematic_extender.ipynb |
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def factorial(a):
f = 1
for i in range(1,a+1):... | Untitled.ipynb |
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from utils.data import Data
from s... | stats-01.ipynb |
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# <div class="alert alert-block alert-succ... | lecture_source/machine_learning/0213_rnn_basic.ipynb |
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# # Sway hull equation
# %load_ext autoreload
# %auto... | docs/seaman/02.1_seaman_sway_hull_equation.ipynb |
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# # Exploring VELMA outputs
import __init__
import... | notebooks/archived/outputs.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | line_chart.ipynb |
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# ## In this notebook we will explore the control prob... | PI_VI_FrozenLake/Control-MC-TD-SARSA-QLearning.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | notebooks/11-Numpy GDP Fancy Indexing.ipynb |
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# +
import numpy as np
import pandas as pd
import matp... | Data Analysis/.ipynb_checkpoints/Evaluate_Squat-checkpoint.ipynb |
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# # <font color='red'> Bayesian Classification </fon... | Risk_Minimization.ipynb |
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# #### 1. 얕은복사, 깊은복사
#
# - mutable : 컬렉션 데이터 타입 : list... | practice/linked_list.ipynb |
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# # 5.3.1 The Validation Set Approach
# +
# imports a... | labs_emredjan/labs/lab_05.3_cross_validation_and_the_bootstrap.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | TextSum.ipynb |
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# Euler Problem 169
# =================
#
# Define f(0... | Euler 169 - Diatonic sequence.ipynb |
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# ### Setting up the colors for different data structu... | analysis/colors.ipynb |
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import pickle
import numpy as np
import pandas as pd
... | data/clustering_zeros.ipynb |
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# # J = 1 to 2 parameter scans - Data anal... | SPA/J = 1 to 2 parameter scans - analysis - 11-9-2021.ipynb |
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# ### Insta... | Real_Data/Cusanovich_2018_subset/run_methods/GeneScoring/GeneScoring_cusanovich2018subset.ipynb |
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# +
from pandas import read_csv
from panda... | sarima2Notebook.ipynb |
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# + init_cell=true
# %logstop
# %logstart -rtq ~/.logs... | DS_Intro_Statistics.ipynb |
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# # Artificial Intelligence Nanodegree
#
# ## Convolut... | cifar10-classification/cifar10_mlp.ipynb |
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# # Introduction to the Quantum Bit
# ### Where we'll ... | talk-executed.ipynb |
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# # Working with Streaming Data
#
# Learning Objective... | courses/machine_learning/deepdive2/building_production_ml_systems/solutions/4b_streaming_data_inference.ipynb |
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# # Installing twarc and accessing the API... | basic_twitter_scraping.ipynb |
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# + [markdown] id="Q31XCKTbRSkJ" colab_type="text"
# ## Imports
# + id="VAAN... | data_model/nlp_name.ipynb |
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# <center><h2><b>Imports</b></h2></center... | 2_3_lnh_example_okt.ipynb |
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# ### Training on Admission data
# +
import numpy as ... | UDACITY DL Nanodegree/Introduction to Neural Network/University Acceptance_using Gradient Descent.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + hideCode=false hidePrompt=false tags=[... | Simplex.ipynb |
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# # voting_ensemble_soft
# +
from __future__ imp... | voting_ensemble.ipynb |
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#load library with Iris
from sklearn.datasets impo... | Random forest with Iris dataset.ipynb |
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# # Recipes: How do I ...?
#
# This page c... | docs/user-guide/recipes.ipynb |
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# + id="Y7Z4EnkgvC5l" colab_type="code" colab={}
# #!pip install datadotworld... | matrix_one/Day3.ipynb |
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import pandas as pd
import numpy as np
import matp... | CNN_with_cat&dog.ipynb |
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# + [markdown] id="LTEovaE_gXXx"
# # Apricot package demonstration
#
# The fo... | submodular_airport.ipynb |
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import numpy as np
import pandas as pd
import statsmod... | latest/Africa USIU.ipynb |
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# # Batch Create Dendrograms
#
# This notebook allows ... | src/templates/v0.1.9/modules/dendrogram/batch_dendrogram.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
imp... | notebook/keplerstellar.ipynb |
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# ## 2.1 Introduction
# ### 2.1.1 Model Context
# In P... | cracking-the-data-science-interview-master/cracking-the-data-science-interview-master/EBooks/Bayesian-Methods-for-Hackers/C2-A-Little-More-on-PyMC.ipynb |
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# # Tutorial: Getting to that Sweet, Sweet Data
# ###... | IO_Tutorial_One.ipynb |
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# %run "0.0 Data preparation.ipynb"
# # Dataset selec... | Functions/2.0 Data analysis - Per question game comparison.ipynb |
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# # 다변수 정규분포
#
# 복수의 확률 변수를 모형화 할 때 가장 많이 사용되는 분포
#
# ... | 3_math_for_datascience/05_Correlation_of_random_variables/20180225_05_06_Multivariate_normal_distribution.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # W... | day3/.ipynb_checkpoints/Discrete Convolutions-checkpoint.ipynb |
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import pandas as pd
pd.set_option('display.max_columns... | Phase_2/Phase2_project/Predict_holdout.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | src/Chapitre3/figure/2019-01-08_ICP_results_and_figures.ipynb |
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# # Loading data from colorhunt
# +
from u... | main.ipynb |
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# + raw_mimetype="text/restructuredtext" active=""
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import keras as keras
from keras.models import Seq... | artigo-helper/src/main/resources/python-scripts/First steps with Keras.ipynb |
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# %%
VERSI... | 0007/vector fields.ipynb |
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# ### Model Optimizing
#
# This notebook is about tech... | jupyter/03 - Model Optimizing.ipynb |
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# # Tutorial-2: Introduction to PySpark DataFrames
# ... | 2-intro-pyspark/Tutorial-2-PySpark-DataFrame.ipynb |
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# # Facilities
# ## Water
from sqlalchemy import cre... | data_cleaning_and_analysis/Facilities.ipynb |
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from RungeKutta4 import RungeKutta4
from m... | Projects/Project_1/Q2/.ipynb_checkpoints/CavitationExplosionSimulation-checkpoint.ipynb |
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# ### Contains Duplicate
# + active=""
# Given an arr... | 217. Contains Duplicate.ipynb |
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# + colab={} colab_type="code" id="2pYZ0JPjAgi7"
impor... | notebooks/Covid_ClassificationTask.ipynb |
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# # Nested Functions
def outer_func(outer_var):
... | _src/Section 3/3.1 Closures and Nested Function.ipynb |
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# # Introduction
# IPython, pandas and matplotlib hav... | notebooks/07_Pandas-tips-and-tricks.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | notebooks/APIFuzzer.ipynb |
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# # 量子神经网络在自然语言处理中的应用
#
#
# `Linux` `CPU` `全流程` `初级` `... | tutorials/training/source_zh_cn/advanced_use/qnn_for_nlp.ipynb |
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# # CS155 Project 3 - Shakespearean Sonnets: Pre-proce... | 1-Data-Preprocessing.ipynb |
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# # Gradient descent algorithm for Scenario 2
#
#
# In... | scratch work/.ipynb_checkpoints/Qiang_Gradient Descent for Scenario 2-checkpoint.ipynb |
# # Working with numerical data
#
# In the previous notebook, we trained a k-nearest neighbors model on
# some data.
#
# However, we oversimplified the procedure by loading a dataset that contained
# exclusively numerical data. Besides, we used datasets which were already
# split into train-test sets.
#
# In this noteb... | notebooks/02_numerical_pipeline_hands_on.ipynb |
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# %matplotlib inline
import random
from operator impor... | EvolAlgoCalibration.ipynb |
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# !pip install -e ../..
# +
import torch
import matpl... | notebooks/inference/inference_model.ipynb |
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# # 1. Crear dataframe por especialidad -
# ### Direc... | 03_treatment_text/01_create_dataframe_from_xml.ipynb |
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import pandas as pd
import datetime
from datetime imp... | RQ5.ipynb |
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# + [markdown] Collapsed="false" slideshow={"slide_typ... | Clases/m05_data_science/m05_project01/m05_project01.ipynb |
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# # Python 3 : Le BN pour le traitement des images
# ... | Rozenn/ISN-Python3-Image.ipynb |
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# # Requesting data ... | notebooks/request.ipynb |
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# %pylab inline
# %config InlineBackend.figure_format ... | Interpolation.ipynb |
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# +
# %load_ext autorel... | OPM_Fingerprint_Sampling.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('hello world')
... | 9.10.ipynb |
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import os
from dotenv import load_dotenv
import nu... | notebook/main.ipynb |
# -*- coding: utf-8 -*-
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# # Goods Recommandation b... | all_repository/julia_lab/recommender/repository/ts_normal_wb-Copy5.ipynb |
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# # Building of French ACC/UAC control sectors... | tables_building.ipynb |
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# +
impor... | notebooks/jhj_ParameterOptimizationGPU0.ipynb |
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# %reload_ext autoreload
# %autoreload 2
# %matplotlib... | squash trainer/notebooks/data_encoding/short_examples/Examples.ipynb |
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#Importando as bibliotecas
from wordcloud import WordC... | WordCloud/.ipynb_checkpoints/word_cloud-checkpoint.ipynb |
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# +
# S3 prefix
bucket = 'sagemaker-getting... | Scikit-learn_Estimator_Example_With_Optuna-Container.ipynb |
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import os
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from mat... | object_localisation.ipynb |
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# +
import numpy as np
import scipy as sp
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# %load_ext autoreload
# %autoreload 2
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# + [markdown] id="U_J72oQEUy2Y"
# # London... | 09-GoogleEarthEngine_master/04-Stgoat.ipynb |
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# - ndim : 차원 dimension
# - shape: 모양
array = np.arr... | Past/DSS/Programming/Python/180123_numpy_01.ipynb |
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# ## ex09-Advanced Query Techniques o... | ex09-Advanced Query Techniques of CASE and Subquery.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | 07-snowball_earth.ipynb |
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# This notebook explains how to add batch normalizatio... | deeplearning1/nbs/imagenet_batchnorm.ipynb |
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import geopandas as gpd
import seaborn as sns
import ma... | source/notebooks/chapter78/Chapter 7 + 8 - Cluster analysis + taxonomy.ipynb |
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# %matplotlib inline
import glob
import numpy as np
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# %matplotlib inline
#
# # Looking Glass
#
#
# Exampl... | matplotlib/gallery_jupyter/event_handling/looking_glass.ipynb |
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bw.projects.set_current("B4B18")
if bw.Database("testd... | 00.2_Navigate though matrices and arrays copy_RS.ipynb |
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# # Lesson 2: Comparison Operators
1>2
1==1
1!=2
'... | Lesson2.ipynb |
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# # BERT-SQuAD Inference Example with AMD MIGraphX
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for i in range(1,101):
if i%3==0 and i%5==0:
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