code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# ## Importing and Organizing Your Data in Python - Pa... | 23 - Python for Finance/1_Useful Tools/10_Importing and Organizing Data in Python - Part I (3:44)/Importing and Organizing Your Data in Python - Part I - Solution_Yahoo_Py3.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Copy_of_compare_methods_bazin_mock_dataset.ipynb |
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# # Neural Network Example
# - Tutorial: http://pytorc... | notebooks/miscellaneous/dl_frameworks/neural_network_tuto.ipynb |
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# ## Grouping and Aggregating - Analyzing and Explorin... | pandas basics/Pandas Demo 8.ipynb |
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# <style>div.container { width: 100% }</style>
# <img style="float:left; vertical-align:text-bottom;" height="65" width="172" src="../assets/... | examples/tutorial/05_Working_with_Gridded_Data.ipynb |
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# The concepts to be introduced in this notebook, such... | QuantumComputing/Qiskit/04_Classical_and_Quantum_Many-Body_Physics.ipynb |
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# ## #2: mybinder
# homework 7 mybinder t... | hwMidInstall/homework7-mybinder.ipynb |
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# + [markdown] id="966a61c4"
# # **IMI BIG... | Scripts/Feature Engineering.ipynb |
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# ### Image Classification - Conv Nets -Pytorch
# > C... | 04_Projects/01_Ants_vrs_Bees/04_Conv_NN-Image Classification.ipynb |
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# Define the function "say_hello" so it prints "Hello!... | function.ipynb |
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def isnegative(n):
if n < 0:
return True
... | Untitled1.ipynb |
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# # Reproduce the Results for the Public Datasets
# H... | notebooks/library_example.ipynb |
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from __future__ import print_function
import torch
x ... | how_to_use_pytorch/note1_BASIC_0.ipynb |
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# ### Purpose:
# - Download ret... | NWM_DD6_combined.ipynb |
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# ## An RNA-Seq analysis of output from Cuffdiff (prod... | jupyter-notebooks/diff-expr-of-cuffdiff-output-w-pandas.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | char_rnn_ethinicity.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <im... | UCT Masters Research Group/Model-free Hyperparameter Optimization/Presentation.ipynb |
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# + [markdown] _cell_guid="cb19f71d-51c8-417f-829e-317... | Module 6/titanic-logistic-regression-with-python.ipynb |
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#export
from fastai2.data... | nbs/13b_metrics.ipynb |
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from keras.datasets import mnist,fashion_mnist
from ke... | Baby's First Network .ipynb |
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import torch
from torch.autograd import Variable
impor... | code/Results1D/visualization loss landscape/roughness index and landscape/small internal/TVDFCNetDGM/fcnetDGMtrain.ipynb |
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# # Time Series Exercise -
#
# ### Follow along with ... | 04-Recurrent-Neural-Networks/02-Time-Series-Exercise.ipynb |
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# # Schema from example
oto_data = {
... | viable/schema_validation.ipynb |
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import tensorflow as tf
from tensorflow.keras.models i... | .ipynb_checkpoints/Model-checkpoint.ipynb |
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#python packages pd
impor... | deepmath/deephol/train/A_Simple_GH_S_1/.ipynb_checkpoints/clean-checkpoint.ipynb |
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# # Exploratory Data Analysis: Haberman Cancer Surviva... | eda-haberman-dataset.ipynb |
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;; **Example**
(define (... | ch01/section-1.2.ipynb |
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# # Introduction to ITK Segmentation in SimpleITK Note... | Python/300_Segmentation_Overview.ipynb |
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# ## Meals Count Backend Utilities
#
# This noteb... | sandbox/backend_utils.ipynb |
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# # 1-3.1 Intro Python
# ## Functions Arguments & Para... | Python Absolute Beginner/Module_2_1_Absolute_Beginner.ipynb |
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# + [markdown] colab_type="text" id="SZIubkln0AI2"
# #... | HackathonOne/Hackathon_I_Starter_Code.ipynb |
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# # Lab 07
#
# ## Solving a boundary value problem wi... | 7/sm.ipynb |
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import pandas as pd
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import sklearn ... | untitled.ipynb |
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# # Generate Mock Data
# In this example ... | examples/demo_generate_mock_cluster.ipynb |
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# + [markdown] nbsphinx="hidden" slideshow={"slide_typ... | notebooks/multisensor/wradlib_adjust_example.ipynb |
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# ### Import dependencies
# + jupyter={"source_hidden... | The_forecasts.ipynb |
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# # NAIVE BAYES
#
# **File:** NaiveBayes.ipynb
#
# **C... | NaiveBayes.ipynb |
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import numpy as np
from astropy.table import Table, jo... | M31_MF_replication/code_drafts/Shecter_Function_Completeness_incoporated.ipynb |
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reload_lamb()
# # Compositi... | notebooks/fragments/Compositional DRT.ipynb |
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# # Rate limiting
#
# Requests are rate limited to pre... | Python3/7_Rate_limiting.ipynb |
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# https://www.accelebrate.com/blog/using-defaultdict-p... | temp_defaultdict_tutorial.ipynb |
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# + active=""
# % PACKAGES INCLUDED HERE
# % DO NOT N... | Paper/Paper_Template.ipynb |
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import glob
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import pyre... | notebooks/prepare-test-data.ipynb |
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# + [markdown] id="W-1zl5XdYInf"
# # Question Answer Application using BRET
#... | Natural Language Processing/NLP/QuestionAnswer_BERT.ipynb |
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# # Installing Python
# <img src="https:/... | book/week_01/01-Installation.ipynb |
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# # Predicting Housing Prices using Tensorflow + Cloud... | blogs/housing_prices/cloud-ml-housing-prices.ipynb |
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# # Dirichlet Process Mixture Models
#
# The goal of t... | _posts/notebooks/dirichlet-process-mixture-models.ipynb |
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# _You are currently looking at **version 1.0*... | Week+2.ipynb |
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# ## Model Selection & Evaluation
#
# <hr>
#
# ### Age... | Code/9. Model Selection _ Evaluation.ipynb |
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import pandas as pd
w = pd.io.excel.read_excel('p... | Filtered-Trials/Filtered Trials.ipynb |
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from src.utils import *
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# # Tutorial: optimal binning with continuous target
... | doc/source/tutorials/tutorial_continuous.ipynb |
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# # Introduction to m... | Course_1.ipynb |
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# # Massachusetts Eviction Data and Housing Court Stat... | MassLandlordsScraper.ipynb |
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# # More on Widgets: Using Interact
#
# The `interact... | 3-more-on-widgets.ipynb |
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# %matplotlib inline
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# # Extracting time course fro... | 0.14/_downloads/plot_label_activation_from_stc.ipynb |
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# # Exercice 3
# ## Exercice 3.1
import os
import gl... | .ipynb_checkpoints/Exercice3-checkpoint.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | 2 digit recognizer/mnist-for-beginners-tensorflow-dnn-cnn-keras.ipynb |
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# default_exp scraper
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# # Scraper
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# > This ... | 05_thailand-2.ipynb |
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# # World development indicators data set
#
#
#
# ## I... | Final Report.ipynb |
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# # Stepwise Regression
#
# ### Forwa... | machine-learning/examples/stepwise.ipynb |
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# # mpl-scatter-density
#
# [mpl-scatter-density](http... | _doc/notebooks/2016/pydata/im_mpl_scatter_density.ipynb |
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# The *shutil* module include high-level file operatio... | Python-Standard-Library/FileSystem/examples/shutil.ipynb |
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# # Imports
# +
import pandas as pd
import numpy as n... | CONTRIBUTION/Jupyter notebooks/Abhinay_beerukuri.ipynb |
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# + [markdown] colab={"autoexec": {"startup": false, "... | Self_driving_car-manu.ipynb |
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# # Modelling Optimal Strategies for a Single Car
# S... | build/jupyter_notebooks/parameter_sweep_optimisation.ipynb |
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# # Timeseries
#
# Pandas started out in the financial... | .ipynb_checkpoints/modern_7_timeseries-checkpoint.ipynb |
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# + pycharm={"name": "#%%\n"}
import IPython
from matp... | notebook/test01.ipynb |
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# # **Machine Learning using scikit-learn*... | sklearn-demo-solutions.ipynb |
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# # PageRank
# #### Author : <NAME>
#
# In this notebo... | intermediate_notebooks/examples/cugraph/multi_gpu_pagerank.ipynb |
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# + id="nepPEqtbvQIL" colab_type="code" colab={"base_u... | Forecasting_LSTM.ipynb |
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import os
import numpy as np
from mpl_too... | 200+ beamer 模板合集/Eudat_Porto(简洁)/python/grid_json.ipynb |
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from network import deblur
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# # Least-squares parameter estimation of AR models
#... | system-identification/notebooks/AR-example.ipynb |
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# + [markdown] papermill={"duration": 0.019081, "end_t... | santander-customer-transaction-training-2.ipynb |
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# # Improving function approximation by adjusting tuning curves
#
# This tutorial shows how adjusting the tuning curves of neurons
# can help ... | docs/examples/advanced/functions-and-tuning-curves.ipynb |
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# # Generative Adversarial Networks (GANs)
#
# So far ... | GANs-TensorFlow.ipynb |
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# # Individual participant characteristics
# Creates... | figs_stream/Table_part_characteristics.ipynb |
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from fastai2.basics impor... | nbs/35_tutorial.wikitext.ipynb |
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# + id="NzVo3MVIiuyJ"
import pandas as pd
import numpy... | Notebook/Face_Mask_nb.ipynb |
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# # Gathering data from the web - Problems
# + [markd... | problems/day_3/web_gathering_problems.ipynb |
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# # ZugerTrophy Run Review
# ### An exercise in the '... | ZugerTrophy.ipynb |
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# # Illustrate how the max-margin chang... | results_processed/publication/massbank/ssvm_lib=v2__exp_ver=4/exp_03__c__example_margin_2D_vs_3D.ipynb |
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# + _cell_guid="79c7e3d0-c299-4dcb-8224-4455121ee9b0" ... | Chest_X-Ray.ipynb |
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# ## Examples 3; Extra bits
#
# Some addit... | examples/Examples 3; Extra bits.ipynb |
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# name: conda-env-PromoterArchitectu... | src/plotting/rolling_window/GC_content_rw_plots_centred_around_Araport11TSS.ipynb |
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import pandas as pd
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# # Using Interact
#
# In this lecture we will begin t... | 16-Bonus Material - Introduction to GUIs/01-Interact.ipynb |
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# %matplotlib inline
#
# # Path Tutorial
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#
# Defini... | matplotlib/tutorials_jupyter/advanced/path_tutorial.ipynb |
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# # [ATM 623: Climate Modeling](../index.ipynb)
#
# [<... | Lectures/Lecture12 -- CESM climate sensitivity.ipynb |
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# *Contents*
# ===
# - [A database of estates](#A-data... | eng/07. Dictionaries.ipynb |
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# #!/usr/bin/env python
# coding: utf-8
# #!pip i... | NB_FRANCOBOT.ipynb |