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# `openacc_interop` is an example program to demonstra... | Code_Examples/Chapter_09/python-notebook/Chapter 9.ipynb |
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import pandas as pd
import sasoptpy as so
df = pd.rea... | notebooks/Tutorial 1 - Goalkeeper Problem.ipynb |
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import keras
from k... | analysis/splicing/splicing_cleavage_genesis_hek_make_gifs.ipynb |
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# %config IPCompleter.greedy=True
# %matplotlib in... | 01-Keras-Intro.ipynb |
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# 
# ___
# # Chap... | Ch04/04_02/04_02.ipynb |
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# # VQ-VAE
# (vector quantised variational auto-encode... | autoencoder/vq-vae/vq-vae-tiny.ipynb |
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# # 2. Neural Networks with Numpy
# In th... | solutions/2_NeuralNets_Numpy-Solution.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] id="SWzsE9omeSN1" colab_type="tex... | day3/Introduction to R.ipynb |
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# # Loading data in sktime
#
# Data for use with sktim... | examples/loading_data.ipynb |
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# <h1>Matplotlib-1</h1>
# <h6>Saket Tiwari</h6>
# Date... | Basics/MatplotLib-1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | SIAM2021_Autoencoder_2_.ipynb |
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# -*- coding: utf-8 -*-
"""
@author: <NAME>
Syne... | WinterRapeseed_YieldEstimationModel.ipynb |
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# <div class="contentcontainer med left" style="margin-left: -50px;">
# <dl class="dl-horizontal">
# <dt>Title</dt> <dd> ErrorBars Element</... | examples/reference/elements/matplotlib/ErrorBars.ipynb |
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# <h1>Table of Contents<span class="tocSkip"></span></... | _20201106_pickle_bug_multilabel_floats.ipynb |
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# # Steps 4 and 5: Analysing Data and Visualising Resu... | 5-analysis-and-visualisation.ipynb |
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# # The .set_index() and .reset_index() Methods
impor... | Section 6.ipynb |
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# **Computer Vision: CNN for CIFAR Dataset**
# +
impo... | cnnModel.ipynb |
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import os
main_path = os.path.abspath(os.path.join... | notebooks/quantity_search.ipynb |
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# %pylab inline
import random
# # Моделирование случ... | visualisation_matplotlib/.ipynb_checkpoints/06_monte_carlo_rnd-checkpoint.ipynb |
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# #### Flow Control
#
# Python supports cond... | FlowControl/While.ipynb |
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# # Traffic Sign or Not Traffic Sign
# Reference: http... | neural-nets-are-weird/notebooks/Traffic Signs.ipynb |
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import numpy as np
import tensorflow as tf
import tens... | notebooks/n_armed_bandit.ipynb |
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# # SIGIR'21 DLG4NLP Tutorial Demo: Semantic Parsing
... | SIGIR2021_demo/semantic_parsing.ipynb |
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# # Updating priors
# In this notebook, I... | examples/pymc3_howto/updating_priors.ipynb |
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# # Skew test
#
# <NAME>
#
# [MIT License](https://en.... | DSC 530 - Data Exploration and Analysis/ThinkStats2/examples/skew_test.ipynb |
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# セルに数式を入力する
import openpyxl
book = openpyxl.Work... | sample/Python_GOKUI/Python_GOKUI/chap06/sec03/Workbook4.ipynb |
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# # Introduction
#
# This notebook demonst... | notebooks/2016-09-08-Data-driven First Principles Methods for the Study and Design of Alkali Superionic Conductors Part 3 - Diffusivity and Ionic Conductivity.ipynb |
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#
# <table>
# <tr>
# <td width=15%><img src="./img/UGA... | 4-1_Scikit_Learn.ipynb |
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import json
import numpy as np
import pandas as pd
wi... | src/ipynb/analysis_bayes.ipynb |
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"""
C... | supervisioned/SVM_classifier_used_scikitlearn.ipynb |
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# + dc={"key": "4"} deletable=false editable=false run... | SQL Projects/Analyze International Debt Statistics/notebook.ipynb |
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import random
foo = ['a', 'b', 'c', 'd', 'e']
pri... | python/pythoncodes/Untitled2.ipynb |
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def readfile(filename):
file = open(filename, 'rt'... | irish-language-modeling/bigram_with_smoothing_irish_language_modeling .ipynb |
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# # Method: RC
# # Dataset: Lorenz-96, F ... | 3_uq/3_rc_noise/1_rc_deep_ensemble_noise.ipynb |
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# # API´s
# !pip install requests -q
imp... | apis.ipynb |
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# # Writing Valid Requests for NWIS
# The USGS Nationa... | docs/notebooks/Writing_Valid_Requests_for_NWIS.ipynb |
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# # Classifying data from samples
# ### Importing dep... | notebooks/ClassifyData.ipynb |
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from singlezone_gen import main
zone_area=8.30
zone_r... | singlezone_gen/run_dorm2.ipynb |
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# # Chapter 6 - Other Popular Machine Learning Methods... | Pt_2/06_04_Decision_tree_models_with_CART/6_04_part1.ipynb |
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# #Fire up GraphLab Create
#
# We always start with th... | Course1/Getting Started with SFrames.ipynb |
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# # Data Structures and Algorithms in Python
# ## Pyt... | data_structures_and_algorithms_in_python_exercises.ipynb |
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import torch
def testing(model, dataset):
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import numpy as np
import matplotlib.pyplot as plt
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import pandas as pd
df=pd.read_csv("C:\\U... | Stock market prediction and Forecasting using Stacked LSTM.ipynb |
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# # Example of constructing an environment using Pytho... | Chapter 09/Chapter09.ipynb |
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// # Face Mask Detection using PaddlePaddle
//
/... | jupyter/paddlepaddle/face_mask_detection_paddlepaddle.ipynb |
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# # REINFORCE on CartPole-v0
#
# > In this post, We wi... | _notebooks/2021-05-12-REINFORCE-CartPole.ipynb |
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# + [markdown] colab_type="text" id="bTry4ZMD2859"
# #... | Google Cloud Data Science and Machine Learning/Explore Machine Learning Models with Explainable AI/Challenge Lab/what-if-tool-challenge.ipynb |
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# # for Loops
#
# A **for** loop acts as an iterator i... | others/resources/python/intro-to-python-jupyter-notebooks-master/11-For Loops.ipynb |
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# + [markdown] id="19ft5ldGPWjL"
# # Load the pre-trained model and generate ... | Run_Pre_Trained_GPT.ipynb |
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import pandas as pd
import matplotlib as plt
#reading... | PandasDF.ipynb |
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# <center><img src="http://i.imgur.com/sSaOozN.png" wi... | .ipynb_checkpoints/S1_B_Py_controlOfExecution-checkpoint.ipynb |
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# # Credit Risk Resampling Techniques
imp... | Starter_Code/credit_risk_resampling.ipynb |
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# # Double-slit m... | Double Slit Model.ipynb |
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# <h1>Examples</h1>
# <strong>Example #1: Basic If El... | 02 Basics/08-control-flow-if-else.ipynb |
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# # Vantage-AI case project
#
# For this project we'll be using both R a... | notebooks/dev/data-exploration-r.ipynb |
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# # HSV Color Space, Balloons
# ### Import resources ... | 1_1_Image_Representation/5_1. HSV Color Space, Balloons.ipynb |
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# + [markdown] id="eJGtmni-DezY" colab_type="text"
# # Lambda School Data Sci... | module1-statistics-probability-and-inference/LS_DS_141_Statistics_Probability_and_Inference.ipynb |
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# Using scikit-learn to perform K-Means clustering
from sklearn.cl... | lab8/KMeans_Clustering_LabeledData.ipynb |
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# # Building a Video ... | Chapter02/2.09 Building a Video Game Bot .ipynb |
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#hide
#skip
! [ -e /conte... | nbs/14_callback.schedule.ipynb |
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# Direct imaging
# * GPIES ([Nielsen+2019]())
# +
imp... | notebooks/Nielsen2019_direct_imaging.ipynb |
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# Imports
from time import time
from os.path impor... | code/learn_word_embeddings_word2vec.ipynb |
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# %matplotlib inline
# Dependencies
import matplotlib.... | PyBer_ride_data.ipynb |
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import pandas as pd
unames = ['user_id', 'gender', 'ag... | DA Filmes.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] id="P8oDbrY3lpSS"
# # Dados... | Notebooks gerais/Notebook_Pre_Processamento.ipynb |
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# %matplotlib inline
import numpy as ... | FederatedLearing/playground.ipynb |
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import numpy as np
import pandas as pd
data={
"ma... | MachineLearning/pandasBasics.ipynb |
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#
# # Clean And Analyze Employee Exit Surveys
#
# In t... | clean_analyze_emp_exit.ipynb |
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# # Fine-tuning: 通过微调来迁移学习
#
#
# 在前面的章节里我们展示了如何训练神经网络来识别小图片里的问题。我们也介绍了ImageNet这个学术界默认的数据集，它有超过一百万的图片和一千类的物体。这个数据集很大的改变计算机视觉这个领域，展示了很多事情虽然在小的数据... | chapter_computer-vision/fine-tuning.ipynb |
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# ## Rover Projec... | code/Rover_Project_Test_Notebook.ipynb |
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# #### Copyright 2021 The Cirq Developers
# +
#@title... | cirq-web/circuit_example.ipynb |
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# name: python37364bitmyenvvenv357140d6b8384ae... | Optimization.ipynb |
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# # plotting the p-mode power spectrum
# In this note... | examples/generate_powerspectrum.ipynb |
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import pandas as pd
import numpy as np
import matp... | notebooks/03 Data Exploration.ipynb |
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# %matplotlib inline
import numpy as np
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | chapter1/Chapter_1.ipynb |
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import requests
import json
overpass_url = "http://ove... | GPS_data.ipynb |
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#include <iostr... | notebooks/rasprsenoAdresiranje/RasprsenoAdresiranjev2.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | C14_Logistic Regression/Logistic Regression and KNN Classification on Breast Cancer dataset.ipynb |
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# # Profiling
# Sometimes computing the likelihood is ... | docs/source/notebooks/profiling.ipynb |
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import os
import folium
print(folium.__version__)... | examples/plugin-PolyLineOffset.ipynb |
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# %matplotlib inline
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import pan... | notebooks/LongWeatherNDVI.ipynb |
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# # Example of XOR gate using an MLP and MLP class
#
#... | xor/xor.ipynb |
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# + [markdown] nbgrader={"grade": false, "grade_id": "... | GroupingCuts.ipynb |
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# %cd ..
from nsopy_stoch.benchmark_probl... | notebooks/0. Caroe - Schultz Investigation.ipynb |
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# %matplotlib inline
import numpy as np
import scipy.s... | notebooks/anomaly_detection_setting.ipynb |
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# # Cross-validated MANOVA in Python
# I've worked qui... | cv_MANOVA.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# ## Passi... | erc20__investors_and_cyberpunks.ipynb |
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# %matplotlib inline
#
# Sequence to Sequence 네트워크와 A... | docs/_downloads/7e2473184677c1b15004ef4807d5ca05/seq2seq_translation_tutorial.ipynb |
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# ## EEG Sleep states
# In this tutorial,... | notebook/.ipynb_checkpoints/05_EEG_signals-checkpoint.ipynb |
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# # Interpret topic-model results
#
# We ran ```topicm... | regression/InterpretTopicResults.ipynb |
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# # What is machine learning?
#
# The art and science ... | Machine learning basics/SupervisedLearningWithScikitLearn.ipynb |
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# + deletable=true editable=true
# %pylab inline
# %ma... | Figure 5 Simulations/Oracles/KDD_XCell_Oracle.ipynb |
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# %load_ext autoreload
# %autoreload 2
from IPython.core... | notebook/5fold-infer.ipynb |
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# # Binary search tree (BST)
#
# ### Defin... | notes/data_structures/binary_search_tree/binary_search_tree.ipynb |