code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# + id="ksJSya14Dqx-" colab={"base_uri": "https://localhost:8080/"} outputId=... | asl (1).ipynb |
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import sys
import json
import os
import random
imp... | src/main/python/RecommendBizcard/octember-bizcard-neptune.ipynb |
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import pandas as pd
# %matplotlib inline
import numpy ... | 10 Unsupervised Learning.ipynb |
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# +
# optunaでのrlパラメータと評価結果の関係性表示
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import optuna
im... | reproduce/ipynb_202009/optuna_rl_analayze_200815-book.ipynb |
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import pandas as pd
import numpy as np
import json as ... | .ipynb_checkpoints/Final_Analytics-checkpoint.ipynb |
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sum = 0
while sum <= 20:
num = input("Enter t... | multiple loop.ipynb |
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# # Health data wrangling and input modell... | labs/simulation/lab3/sim_lab3_input_modelling_SOLUTIONS.ipynb |
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# + [markdown] id="HrXoBL__zgF2"
# # Download dataset via api do Kaggle
# + ... | notebook/word2vac_sentiment_analysis.ipynb |
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# %matplotlib inline
import sys
sys.path.append('.... | augmentations.ipynb |
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import gensim
import pandas as pd
import os
impor... | src/archive/.ipynb_checkpoints/word_embedding-checkpoint.ipynb |
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# # Arctic: Arctic - Wind speed of gust
# ***
# ### Jupyter open Noteboo... | Arctic/Jupyter/Arctic_wind_speed_of_gust_1247.ipynb |
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# + [markdown] id="fSABpksACgEL"
# # Importing Librari... | Facial_Expression_model.ipynb |
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import pandas as pd
import numpy as np
import seab... | lab/aaronfolder/masteringMetricsSF.ipynb |
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# + [markdown] tags=[]
# # Synthetic datas... | code/01_get_data.ipynb |
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# + [markdown] deletable=true editable=true
# # Wind s... | Pedersen_N07/NaluWindRun02/postpro_spectra_n07.ipynb |
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import pandas as pd
import numpy as np
from scipy.... | model construction.ipynb |
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# # !mkdir mmdetection/configs/sartori... | mmdetection_training/sartorius-mmdetection-inference.ipynb |
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import os
import astropy
import numpy as np
from astro... | SNIDNewZTF/Zooniverse.ipynb |
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from mcpi import block
from mcpi.minecraft import ... | server/data/python/7_building.ipynb |
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import sys
sys.path.insert(0,'/home/csunix/schtmt/... | examples/1_H_examples/ucsd_conv_lstm_AE_futurePrediction/ucsd_conv_lstm_relu_Sep_finetuneFromPretrainNet.ipynb |
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# ## Session 1 - Code along notebook
#
# This notebook ... | language_analytics/notebooks/session1.ipynb |
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import gym.spa... | test_notebook.ipynb |
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import numpy as np
import pickle
import matplotlib... | PCamNet Visualizer.ipynb |
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# # KL-divergence and cross-entropy
# + tags=["hide-i... | _build/jupyter_execute/Module1/m1_04.ipynb |
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# # "Buzz Aldrin's lifetime mean altitude"
# > "I mean... | assets/notebooks/2020-02-29-Buzz-Aldrin's-average-altitude.ipynb |
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#base packages
import math, os, scipy, h5py
import... | URLNet-TF.ipynb |
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# # Composing Objects
import numpy as np
import holoviews as hv
hv.extension('bokeh')
# Instantly viewable HoloViews objects include element... | examples/user_guide/02-Composing_Elements.ipynb |
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# %config InlineBackend.figure_formats = ['svg']
# %ma... | notebooks/Examples/TPOTWXYZ.ipynb |
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import numpy as np
from astropy.time import Time
from ... | schedulingtools/Visibility.ipynb |
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# # Demonstration of preprocessing data an... | venv/demo_rekindle.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | graph/DeepWalk_and_Node2Vec.ipynb |
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# # Developing `make_ww3_wind_file` Worker
#
# Code ex... | notebooks/Developing-make_ww3_wind_file-worker.ipynb |
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from itertools import product
import numpy as np
i... | W-maze_stoch3.ipynb |
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# ### Code to Download MSR-VTT dataset
#
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import ... | Download-Data.ipynb |
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from PIL import Image, ImageFilter
import m... | pre-proccessImage.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Intera... | notebooks/213-question-answering/213-question-answering.ipynb |
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# %matplotlib inline
import pandas as pd
import n... | notebooks/.ipynb_checkpoints/1.0-juan-initial-data-exploration-checkpoint.ipynb |
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# # Rock Paper Scissor CNN Training
# # 1.0 Import th... | rock_paper_scissor_cnn_train.ipynb |
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# # FINM 36700 Midterm1
# #### Yinghan (Alisa) Lin
# ... | solutions/mid1/submissions/linalisa_169524_6241813_Midterm_1.ipynb |
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# # Simple Attack
#
# In this notebook, we will examine perhaps the simplest ... | attacks/simple_attack.ipynb |
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# # Amplitude Crosscorrelation Example
# +
#Import Mo... | Amp_xcorr_example.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | notebooks/01-topic_modeling.ipynb |
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# display_name:... | Design-note-template_PA.ipynb |
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# # Data Understanding - DQ Rules as SQL
#
# This is a... | du__dq_rules_as_sql.ipynb |
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import os, os.path
import json
import ast
from pa... | data_process.ipynb |
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# ## LSTM example
#
# Попробуем построить простейшую L... | notebooks/LSTM example.ipynb |
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# # GITHUB/PYTHON INTERFACE
# ## 1 - RUNNING THE PYTH... | python/backup/.ipynb_checkpoints/github_python_interface-checkpoint.ipynb |
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# Import the necessary libraries
import matplotlib... | statistics-notebook/tests/notebooks/seaborn.ipynb |
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class Monthly_Returns_US_1871:
def __init__(self... | Monthly Harvest (part 2).ipynb |
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# + id="Qoh3w89umg1H"
import numpy as np
import pandas... | 3__extension_generator_DMD_exon44_insertion.ipynb |
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# # Inclusión de un activo libre de riesgo en el porta... | Modulo2/Clase9_Portafolio+bono.ipynb |
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# + active=""
# # SOGComp is SOG run for comparison wi... | Elise/plotResults/plotcomp-SOGComp-SS36-SOG5x5_00-Copy1.ipynb |
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# # Light curves
#
# ## Prerequisites
#
# - Knowledge ... | docs/tutorials/analysis/time/light_curve.ipynb |
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# # Introduction to Python
#
# <NAME>
# ## Basic usag... | 00_python/notebook.ipynb |
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# + [markdown] id="2dMRIXkuIm_s"
# ## Importing required libraries
# + colab... | STS_ELMO.ipynb |
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# # 濾波Q&A
#
# 1. 先處理 NaN、inf 還先濾波??
# ... | fNIRS signal analysis/Randonstate/Filter.ipynb |
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# # Install packages
# List of packages that... | ablation_script/RDNAblateCMGFF.ipynb |
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# # HDMSpectra Functionality
#
# In this notebook we d... | examples/Functionality.ipynb |
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# %matplotlib inline
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# The point of this exercise is to get a more useful r... | pdfs/in-class-gsk-grants.ipynb |
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# #1. Install Dependencies... | colabs/sheets_copy.ipynb |
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# + [markdown] id="hyoMCWi8Bgz9"
# # SARIMA with eXogenous data (SARIMAX)
# ... | code/week6_dl_2/SARIMAX_v2.ipynb |
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#import libraries
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from pathlib import Path
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import mat... | docs/notebooks/sfn2019/results-stats.ipynb |
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# ## Value-based methods
# ### 1. DQN
# discretizing ... | week7_pomdp/CarRacing-v0.ipynb |
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# # http://janroman.dhis.org/stud/
# -*- coding: ut... | Untitled.ipynb |
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import torch
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fr... | testNotebook.ipynb |
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import vaex
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from vaex.ui... | data_from_linkedin.ipynb |
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# cat << EOF > hw6_answers.py
#
# im... | 08-Machine-Learning-I/HW08/HW6_submission.ipynb |
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# # L... | Lecture-17-Explicit-Finite-Difference.ipynb |
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# ## Methods to initialize patches data structure... | scratchpad/patches_data_structure/test_initializations_2d.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="OEMkBaQ2szMP" execution... | Python Notebooks/LOOPS_ FOR_IN part 2.ipynb |
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# # 4.1.2 NumPyでデータを扱う
import numpy as np
a = np.arr... | ds-newtextbook-python/notebooks/4-1-2-NumPy-datahandling.ipynb |
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# # What are `Periodogram` objects?
# *Lightkurve* ha... | docs/source/tutorials/01-using-the-periodogram-class.ipynb |
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using ImageView
using Images
using HDF5
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#pus... | src/cell-detection-and-signal-extraction-demo.ipynb |
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# Query, open
# Filter for clouds
# if cloudy, ... | collector.ipynb |
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import numpy as np
import os
from ... | Neural Net.ipynb |
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import time
from t... | tools/speed_comparison.ipynb |
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# Run the below codes to generate a two-class dataset:... | Supervised Learning/.ipynb_checkpoints/Implement k-Nearest Neighbors Algorithm using Scikit-learn-checkpoint.ipynb |
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# Before you turn this problem in, make sure everythin... | student-notebooks/01.01-PyRosetta-Google-Drive-Setup.ipynb |
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# --... | Part-2-PyMC3-modeling/ipynb/SO-1-Explore_n_Clean-1.ipynb |
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import matplot... | MixedTopics/Temporal filters and receptive fields.ipynb |
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// ## Evidence Pipeline Test Data Generator
... | notebooks/testing/evidence-test-data-extractor.ipynb |
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from datetime import datetime
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# # Signal Preprocessing for UTS IIoT (TF4061) - 2019
... | Documentations/preprocessing.ipynb |
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# # Feature Extraction for PA vs. AP Chest X-ray View ... | .ipynb_checkpoints/PA_vs_AP_feature_extraction-checkpoint.ipynb |
# ##### Copyright 2021 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/contrib/volsay3.ipynb |
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a
type(a)
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result = 4 < 5
... | Udemy Learning/Basics.ipynb |
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# ## Benchmarking notebook for decentralized energy tr... | benchmark/benchmarking.ipynb |
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import pandas as pd
import pymc... | _drafts/modeling-the-nhl-better/.ipynb_checkpoints/rw poisson test with mean 0 deltas pymc3-checkpoint.ipynb |