code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# # HATPRO
# The following example presents the nadir ... | how_to_ac3airborne/datasets/hatpro.ipynb |
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# # Libraries
# +
#export
import torch
import torch.n... | KINETICS.ipynb |
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# ## AlexNet in Keras
# #### We are goin to classify ... | TFLiveLessons/alexnet_in_keras.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # S... | chapter_09/strings_in_python.ipynb |
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import json
import pandas as pd
import numpy as np
fro... | data_analysis/yelp_preprocess/aspects/aspect analysis test.ipynb |
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import math as m
v=float(input("Digite um numero: "))... | .ipynb_checkpoints/EX016 - Quebrando um Número -checkpoint.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "height": 283} cellView="fo... | Autoencoders.ipynb |
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error = """\
Traceback (most recent call last):
File... | prototyping/maintenance/regex.ipynb |
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# +
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# ___ _
# / ... | notebooks/demo.ipynb |
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# # Sample Similarity
#
# [![open in colab](https://co... | docs/tutorials/nb_sample_similarity.ipynb |
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# ## 3. PyCBC Tutorial: Generating Waveforms and Match... | PyCBC-Tutorials-master/tutorial/.ipynb_checkpoints/3_WaveformMatchedFilter-checkpoint.ipynb |
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# + [markdown] id="0elixoydhII-"
# # **Otimização de Processos (COQ897)**
# ... | Trabalhos/Trabalhos Grupo/lista1/1a_lista_torraca_gr.ipynb |
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# https://seaborn.pydata.org/introduction.html
#
# * S... | seaborn-plotting.ipynb |
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# # Analysis
# ---
# ### Research Questions:
# * What... | analysis/.ipynb_checkpoints/Analysis-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | content/04_classification/08_video_processing_project/colab.ipynb |
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# + [markdown] id="agK3X1at8tkL"
# ## Data Wrangling Step
#
# This step invol... | online_retail_data_wrangling.ipynb |
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import os
import numpy as np
from scipy import interpo... | code/p03_grid_sampling/grid_resampling.ipynb |
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import numpy as np
import pandas as pd
from sklear... | Problem1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Highest_Rank_Number_in_Array_(6).ipynb |
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# # Approximating square root iteratively
#
# There ar... | labs/sqrt.ipynb |
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# + id="HlKnRpPMilEi" executionInfo={"status": "ok", "timestamp": 16185414983... | Final_Demo.ipynb |
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# # SQLite
# Beispiel mit SQLite, ohne Server
# %loa... | examples_database/test_databases_python3.ipynb |
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class LRU_Cache(object):
def __init__(sel... | other_structure_&_algorithm/Least_Recent_Used_Cache.ipynb |
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# # Introduction to geospatial vector data in Python
... | 01-introduction-geospatial-data.ipynb |
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# + id="lJz6FDU1lRzc"
"""
You can run either this note... | tutorials/asr/01_ASR_with_NeMo.ipynb |
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# # Simple example on using Instrumental Variables met... | docs/source/example_notebooks/dowhy-simple-iv-example.ipynb |
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# + [markdown] slideshow={"slide_type": "-"}
# # Dynam... | notebooks/tiling/dynamic-tiling.ipynb |
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# ### 1. Import Libraries
import pandas as... | tweets-labeling.ipynb |
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import pandas as pd
import matplotlib.pyplot as pl... | Testing_V1.ipynb |
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# # After model.fit, before you deploy: Prototype with... | notebook/Prototype with FastAPI in Jupyter.ipynb |
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# + [markdown] id="0SIvr26kzpoH" colab_type="text"
# # A denoising baseline i... | demo.ipynb |
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# +
import datetime as dt
import numpy as np
import pa... | chaosmagpy_vs_vires.ipynb |
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# +
import unittest
import os
try:
import cPickle ... | savvy/tests/interactive_plots_unittests.ipynb |
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# + deletable=true editable=true
import random
import ... | gaussian.ipynb |
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# This package uses a Twitter POST api such as tweepy... | demo.ipynb |
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import numpy as np
import pandas as pd
import xgboost ... | XGB.ipynb |
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class Solution:
def getRow(self, rowIndex: int) ->... | algorithms/119-Pascal's-Triangle-II.ipynb |
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# # Mercari Price Suggestion
# This project seeks to s... | approach1_LDA.ipynb |
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# # Custom Adjustments
#
# The ParamTools adjustment f... | docs/api/custom-adjust.ipynb |
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# + [markdown] id="K1spMRzajubL"
# 2021.1
#
#
# 免責事項：本教材（解説，およびプログラム）は教育目的に提供... | scikit_learnでニューラルネットワーク実習.ipynb |
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# # Whe... | xarray+dask/3-q-and-a.ipynb |
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# In this project, I will be analysing reviews that we... | AmazonReview.ipynb |
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# # Exploring the IBL Data Pipeline
#
# Here we will i... | docs_gh_pages/notebooks/dj_basics/dj_basics.ipynb |
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#Reading data
with tf.Session():
input = tf.pla... | crackingcode/day7/cc_tf_day7_4.ipynb |
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import requests
import pandas as pd
import time
u... | notebooks/TestBSOClassif.ipynb |
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from mpmath import *
mp.dps = 15; mp.pretty = True
fro... | notebooks/integral_testing.ipynb |
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# + [markdown] button=false deletable=true new_sheet=f... | 6 - Machine Learning With Python/3.2 Decision Trees.ipynb |
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# # Pre-processing Texts
#
# This notebook is used to ... | Preprocessing/.ipynb_checkpoints/Pre-processing_byChapter-checkpoint.ipynb |
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# + id="OdhkmJ0SJDb7" executionInfo={"status": "ok", "timestamp": 16452330318... | SGDonPytorch.ipynb |
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# <center>
# <h1><b>Word Embedding Based Answer Evalua... | notebooks/WebAES-LDA-BERT-Evaluation.ipynb |
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import os
from pathlib import Path
import shutil
import cv2
i... | notebooks/transfer_data.ipynb |
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import collections
from collections import default... | analysis/pfs_pc_analysis/weight/correlation_syn_diameter_dual_210423_shuffle_line.ipynb |
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def navigate_to_baseurl(driver,url):
base_url = ur... | WebScraping-Car.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | noGAN.ipynb |
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# # Social Network Analysis
# ## AO3 User ... | data_analysis/bookmarks_analysis.ipynb |
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# # Markdown in Jupyter Notebooks
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import nglview as nv
import pytraj as pt
traj = p... | nglview/tests/notebooks/add_trajectory.ipynb |
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# ## Adversarial Training
#
# This notebook shows the ... | notebooks/module6_empty.ipynb |
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# load the raw dataset
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import p... | project_exp_7_kNN.ipynb |
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# # Create a NetCDF-CF file from a comma separated tex... | notebooks/xarray-create-netcdf-from-csv.ipynb |
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# # Reinforcement learning
# In this note... | 6_reinforcement_learning.ipynb |
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# ## Importing the libraries
import numpy as np
impor... | Swapping Images.ipynb |
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'''
This is a baseline solution, original source c... | code/run_and_plot.ipynb |
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# # Simplification
from sympy import *
x, y, z = symb... | tutorial_exercises/Advanced-Simplification.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Operations_and_Expressions.ipynb |
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# + [markdown] papermill={"duration": 0.018006, "end_t... | Final Model Prediction, Feature Importance.ipynb |
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from Py3DViewer import Trimesh, Quadmesh, Tetmesh, Hex... | Playground.ipynb |
# -*- coding: utf-8 -*-
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# # A... | julia/TSP.ipynb |
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# # New Angles from Right Range: Optimizing Car Sensor... | sensor_bmw/main_3D_connecting_Dwave_Leap.ipynb |
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# # Doyle-Fuller-Newman Model (DFN)
# ## Dimensionles... | examples/notebooks/models/DFN.ipynb |
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# # CAMPUS PLACEMENT ANALYSIS
# ## Importing Project ... | Campus-Recruitment/CampusPlacementAnalysis.ipynb |
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# # 使用 Debye 模型计算固体热容
# + ... | solid_heat_capacity.ipynb |
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# <h1>REGIONE SARDEGNA
# </h1>
# Confronto dei dati r... | Modulo 4 - Analisi per regioni/regioni/Sardegna/Confronto SARDEGNA.ipynb |
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# # <center> Compléments sur les listes, tuples, dicti... | listes_tuples_dictionnaires.ipynb |
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# hash: aee8b7b246df8f9039afb4144a1f6fd8d2ca17a1... | strings/delimiter_order.ipynb |
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# # Hamiltonian Monte Carlo (HMC)
# %matplotlib inlin... | notebooks/copies/lectures/T08F_HMC.ipynb |
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# + [markdown] kernel="SoS" tags=[]
# # LD workflow
#
# This work... | pipeline/LD.ipynb |
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# 1. Testing quality of predictions
# ==
#
# We now ha... | Lesson 13_Airbnb/Part II - Evaluating Model Performance.ipynb |
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from __future__ imp... | Predict_Fashion_using_CNN.ipynb |
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# <center>
# <b>CompEcon Toolbox:</b>
# <div style="fo... | notebooks/qua/08 Illustrates integration using Simpson's rule.ipynb |
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# ### Imports
import requests
import json
import matp... | Client/Python/Face-Detect.ipynb |
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# # Function, Scope
def maxval(x,y):
if x>y:
... | chap4.ipynb |
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import numpy as np
import pandas as pd
imp... | artifacts/Research_env/2. EDA on raw data(init_data).ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# ## Corona Data Scrapping & visualization for India
... | Corona Data India/mohfw corona dataset.ipynb |
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# # GEOG-503 Lab 2
#
# ## Due date:
# Sep 12 (Wednesd... | GEOG503/labs/lab2/Xu_Jian_lab2.ipynb |
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# # Highly Performant Tensor... | sagemaker_batch_transform/tensorflow_open-images_tfrecord/tensorflow-serving-tfrecord.cli.ipynb |
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from typeguard import check_argument_types, check_... | dev_nb/type_checking_python.ipynb |
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# # Step 1 - Prepare transcript2gene map
#
# ## Introd... | analysis/DevFBProject/AggSalmon/Step 1 - Prepare transcript2gene map.ipynb |
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# # Double 7's Portfolio
#
# (Optimize period... | examples/240.double-7s-portfolio/optimize.ipynb |
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# ## Setup
# +
# %matplotlib qt
import matplotlib.pyp... | WGAN/MNIST.ipynb |
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# # <NAME>
#
# # NUMPY OPERATIONS
#
# Import Numpy L... | Machine Learning/Libraries/Introduction To Numpy/Introduction_to_numpy.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
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# # Do a little TorchScript
# > lets see what's shakin... | _notebooks/2020-07-22-TorchScript-intro.ipynb |
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# VERYYYY VERYYYYY IMPORTANTTTTTTTTTTTTTTTTTTT
# %%wr... | trial scripts/Untitled.ipynb |
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# # Visualizing data stored in Cloudant DB from Watson... | anomaly-detection/Anomaly-detection-watson-studio-python3.ipynb |
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