code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# ## **Setup**
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# Import the necesary ... | 4-Triplet-loss-model.ipynb |
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# This restacks data after having been scraped fro... | notebooks_for_development/restacking_scraped_data.ipynb |
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# + id="EC1C_OYjCXeE" colab_type="code" colab={}
import pandas as pd
import n... | fully connected network/fully connected neural network.ipynb |
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#hide
from tanhNorm.core import *
# # A Variation of ... | index.ipynb |
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# # Generate Deep Matches
#
# Pre-compute deep matches... | prototyping/generate_deep_matches.ipynb |
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# + editable=true
# %load_ext sql
# + editable=true
#... | test.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | baselines_and_with_features.ipynb |
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from nltk.corpus import stopwords
import string
#... | Python/NLP/.ipynb_checkpoints/Word_embeddings-checkpoint.ipynb |
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# + [markdown] id="tDMT16v1L5Oq"
# # importing packages
# + id="_A00JHpk0h9P... | Models/Semantic Models/Sentence BERTs/Sentence BERT- Wikinli.ipynb |
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#Imports
import warnings
warnings.simplefilter('i... | FMRI Preprocessing/ICA Multilayer Net.ipynb |
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# # Utilities
# ## Configuring Logging
#
# EvalML use... | docs/source/user_guide/utilities.ipynb |
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# + [markdown] colab_type="text" id="T87YHLE8d3r3"
# #... | Project-1/PA1Script .ipynb |
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# My training of AB emus isn't working... goin... | notebooks/Test NFW Pop.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | MoneyFlowIndex.ipynb |
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# Creates a stp file and then loads up the stp file an... | examples/example_parametric_shapes/make_html_diagram_from_stp_file.ipynb |
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# + [markdown] colab_type="text" id="OlDwW4HY8MoU"
# #... | courses/machine_learning/deepdive/supplemental_gradient_boosting/labs/b_boosted_trees_estimator.ipynb |
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# name: pytho... | project-2.ipynb |
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# Build an autoencoder for dimensionaltiy reduction
# ... | Autoencoder_v2.ipynb |
# -*- coding: utf-8 -*-
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function parse_map(inp... | Day10.ipynb |
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# # Final Project DL model Notebook - sinple C... | nbs/finalProjectModelNotebook_CNN_two_convs_validate.ipynb |
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# + [markdown] _uuid="0726e5c87066fe363f995135fead5f8d... | Python/python-exercise.ipynb |
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# + [markdown] colab_type="text" id="oDP4nK_Zgyg... | docs/notebooks/maml.ipynb |
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# <h1 class="text-center">Méthodes de Monte-Carlo</h... | monte_carlo.ipynb |
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from openpyxl import Workbook
from openpyxl import loa... | Jupyter Notebooks/R2M_Engage->.ipynb |
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# # Rectangle Mania
# [link](https://www.algoexpert.io/questions/Rectangle%20Mania)
# ## My Solution
# O(n^2) time | O(n) space
def rectangl... | algoExpert/rectangle_mania/solution.ipynb |
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# name: python371jvsc74a57bd0c850e6f77ff7c9cbece5364f8526ec4... | minimal_idcm_usage_example.ipynb |
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# + [markdown] id="LuJi8nfc0Z7u"
# # Spark Preparation... | code/5_Pyspark_Classification_Pipeline_Churn.ipynb |
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# # Applying the Expected Context Framework to the Swi... | convokit/expected_context_framework/demos/switchboard_exploration_dual_demo.ipynb |
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# # Hello Treebeard!
#
# Thanks for trying out Treebea... | main.ipynb |
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import os
from decimal import *
import matplotlib.pyp... | pi_calculations.ipynb |
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#importing all the imprtant libraries
import pand... | RNN.ipynb |
# -*- coding: utf-8 -*-
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# # MOwNiT
# ## Laborator... | Mownit_Lab1.ipynb |
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# # Flights example
# + pycharm={"name": "#%%\n"}
imp... | flights_evaluation.ipynb |
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import os
import sys
import numpy as np
impo... | notebooks/households.ipynb |
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# # Federated learning: random seed
# This not... | notebooks/federated_learning/federated_learning_basic_concepts_random_seed.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | 1_PSBAS_Result.ipynb |
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import pandas as pd
from sklearn.tree import Decis... | Music_Predictions_Project.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | Udemy/Refactored_Py_DS_ML_Bootcamp-master/02-Python-for-Data-Analysis-NumPy/05-Numpy Exercises - Solutions.ipynb |
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# # Abstimmungsfaktor Agglomerationen
# ### Vorbereit... | abstimmungsfaktor_agglomerationen.ipynb |
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import itertools
import matplotlib.pyplot as plt
... | Counting/Dead Time Empirical.ipynb |
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# # Review test
#
# ## Review exercise 1
# menti.com... | lecture03-python-introduction/lecture03.ipynb |
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import pandas as pd
data = pd.read_csv("BIPMetadata.c... | server/db/Data/.ipynb_checkpoints/BIPMetadata_Cleaner-checkpoint.ipynb |
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# #### Introduction
# [Jupyter](http://jupyter.org/) ... | _posts/python/fundamentals/ipython-notebooks/jupyter_tutorial.ipynb |
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# # Says One Neuron To Another
# ## Neural network arc... | notebooks/Digit Recognizer.ipynb |
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# ### DeepPavlov sequence-to-sequence tutorial
# In ... | examples/tutorials/04_deeppavlov_chitchat.ipynb |
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# <h1> Using Machine Learning APIs </h1>
#
# First, vi... | CPB100/lab4c/mlapis.ipynb |
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# In google colab, for master version of catalyst,... | examples/segmentation-example.ipynb |
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# # Parameters and Hyperparameters of Fitted Models
# ... | webapp/results_survey_molecular_similarity/.ipynb_checkpoints/analyze_parameters_models_2D_3D_01-checkpoint.ipynb |
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# # Lists
example1 = [1,2,3,4,]
example2 ... | Jupyter/.ipynb_checkpoints/Python Data Structures - Lists-checkpoint.ipynb |
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#export
from nb_006b import *
from concurrent.futures ... | dev_nb/006c_camvid.ipynb |
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# # T81-558: Applications of Deep Neu... | t81_558_class12_app.ipynb |
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# +
# Time: O(n)
# Space: O(1)
def find_unique_elemen... | assignments/array/Xor method to find the element that occurs one.ipynb |
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# # Market implied price surfaces: v1
#
# What combina... | MarketImpliedSurfaces/SPY_Corona_v1.ipynb |
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# # PSE disclosures
from fastquant import Disclosures... | examples/disclosures.ipynb |
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# # Timeline
#
# [![open_in_colab][colab_badge]][colab... | notebooks/06 - Timeline.ipynb |
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# # Introduction to Data Science
# In this project, yo... | Project_1/.ipynb_checkpoints/README.md-checkpoint.ipynb |
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# # Get the HPS model to run
# - get the inputs correc... | Analysis/hps_v1.ipynb |
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import... | waymo_ros/scripts/.ipynb_checkpoints/DataAnalysis-Copy1-checkpoint.ipynb |
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# ## Setting the envi... | project_re/val_experiments/Experiments_Val_epochs5_256_weights.ipynb |
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# <a href="https://colab... | Neural Machine Translation/1. Seq2Seq [Enc + Dec] Model for Neural Machine Translation (Without Attention Mechanism).ipynb |
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import numpy as np
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fro... | generator.ipynb |
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# ## Observations and Insights
#
# 1. Only Capomulin p... | Pymaceuticals/pymaceuticals_Final.ipynb |
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# # CoReference Network -- Richards
#
# No... | Jupyter_Notebooks/Networks/Richards_coRef.ipynb |
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# # Example Capacity Test using Captest
#
# The captes... | docs/examples/complete_capacity_test.ipynb |
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import pandas as pd
train = pd.read_csv("... | source/Attempt 1 - Patent Semantics.ipynb |
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# + [markdown] deletable=true editable=true
# # Powerf... | 063/63.ipynb |
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# # Tetrahedron
from crossproduct import Point, Trian... | notebooks/dev/Tetrahedron.ipynb |
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# + [markdown] button=false new_sheet=fals... | notebooks/Guide_for_Authors.ipynb |
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# # First Example using QuantLib
# *Copyright (c) 201... | First_example.ipynb |
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# This notebook is a simple monthly sales analysis ... | SQLnotebook (1).ipynb |
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# # Example of DenseCRF with non-RGB data
# This note... | examples/Non RGB Example.ipynb |
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# # Follow-Me Project
# Congratulations on reaching th... | models/model_b/model_training.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # W... | 4.text-processing/4.wordnet.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | L2.ipynb |
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# # 第三章 PyTorch基础：Tensor和Autograd
#
# ## 3.1 Tensor
#
... | chapter3/Tensor.ipynb |
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# # Ethereum Price
# by: <NAME>
# ### 1. Read Datase... | notebooks/14. ethereum_price.ipynb |
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# # Testing MPI version for Imaging and deconvolution ... | deprecated_code/workflows/mpi/imaging_mpi.ipynb |
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# # Entropy
#
# **Entropy** - measurment of the unce... | Basics of ML/(Entropy)_21_10_2020.ipynb |
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# %matplotlib inline
#
# PyTorch: 새 autograd Function... | docs/_downloads/0b586e23ee09407ff674ff01b010923c/polynomial_custom_function.ipynb |
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import gym
import tensorflow as tf
import itertools
im... | embodied_arch/unit-tests/.ipynb_checkpoints/certify-MG-AC-checkpoint.ipynb |
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import numpy as np
from IPython.core.debugger import T... | Chapter09/.ipynb_checkpoints/GAN-checkpoint.ipynb |
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# ## LSTM AE based clusteing
# +
from time import tim... | Notebooks/Keras-LSTM_AE-Biohistology.ipynb |
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# # Convexity of the ohmic model
#
# (see also handwri... | Convexity Ohmic model.ipynb |
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# %load_ext sparkmagic.magics
# %manage_spark
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# %matplotlib inline
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# <a href="/assets/tutorial03_code.ipynb" class="link-... | content/tutorial03/code.ipynb |
# -*- coding: utf-8 -*-
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# instala o pacote sqldf
# INSTALLING FROM CRAN... | CLAUDIO_TEIXEIRA_TRAB_DM_v3.ipynb |
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# # Trees 🌲
#
# Trees ... | Data Structures/Trees.ipynb |
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# + slideshow={"slide_type": "skip"}
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# + [markdown] id="view-in-github" colab_type="text"
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# # k-MEANS CHALLENGE
#
# **File:** kMeansChallenge.ip... | BE_kMeansChallenge.ipynb |
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# # 20180429
#
# urllib 라이브러리를 활용해 간단한 웹 브라우저를 만들어보자.
... | web crawling/20180429.ipynb |
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# # Write an informative test failure message
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include("trajViz.jl")
trajViz(x0=0.0,
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# # Best Coding Practices in Jupyterlab
# * El código... | EuroSciPy-2019/4 - Wednesday/Best Coding Practices in Jupyterlab.ipynb |
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# + [markdown] id="oRgpqL0KVO43"
# # CIS6930 Week 2: Autoencoders
#
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#
#... | notebooks/cis6930_week2_autoencoders.ipynb |
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# # Improving Word2vec Algorithms
# These are all the... | ch4/ch4_word2vec_improvements.ipynb |
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f(x) = a = x
f
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name = 'Corey'
name.lower()
name.capitalize()
name.upp... | 01_Workshop-master/Chapter01/Exercise10/Exercise10.ipynb |