code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# # Sparseness and hidden layer activity
# Here we ar... | notebooks/2017-10-23(Sparseness and hidden layer activity).ipynb |
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# # Convolutional Neural Networks
# <NAME>
#
# The mai... | CNN/cnn_overview_tensorflow.ipynb |
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# import sys
from gp_sinkhorn.SDE_solver import s... | notebooks/Misc/far_gaussian_failure_case.ipynb |
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# #### StatsModels 샘플데이터
# - R의 통계분석 및 시계열 분석을 파이썬에서 실... | machinelearning/statsmodels/statsmodel_sample.ipynb |
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# # Inversion of individual Hanle profiles... | Hanle_single_profile_inversion.ipynb |
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# + tags=[]
import re
# -
# ### Q1.
# Write a regula... | 9. NLP/1. Lexical Processing/1. Regular Expression/.ipynb_checkpoints/Bonus+exercise-checkpoint.ipynb |
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from collections import defaultdict
class Graph:
... | flarow/Graph/Dijkstra's Algorithm.ipynb |
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import serial
import time
import struct
import rospy
f... | ros_nodes/aras_usb_imu/scripts/.ipynb_checkpoints/imu_node-checkpoint.ipynb |
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import numpy as np
import pandas as pd
names = ['user... | movie_recommendation/movieRecommender.ipynb |
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# ## Plotting from MLFlow Experiments on A... | dpsdgym/Plotting-Results-using-MLFlow.ipynb |
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# + [markdown] id="QnMX68gcw_ZH"
# This is the text de... | MLT_text_detection_simplified.ipynb |
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# %matplotlib inline
from pathlib import Path
im... | notebooks/00-reading-data.ipynb |
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# # UNDERSTANDING EXPERIMENTAL DATA
# This chapter is... | notebook/Unit2-2-Understanding_Experimental_Data.ipynb |
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# + [markdown] _cell_guid="d4c08f48-fe23-4ddb-ac46-d97f053975... | Section-12-Optuna/04-Optimizing-a-CNN-extended.ipynb |
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# + [markdown] tags=[]
# # PROBLEMAS DIVERSOS
# -
# #... | Problemas Diversos.ipynb |
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# *Accompanying code examples of the book "Introductio... | code/model_zoo/tensorflow_ipynb/multilayer-perceptron-batchnorm.ipynb |
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# # Derivative of CTC Loss
#
# 关于CTC的介绍已经有很多不错的教程了，但是完... | docs/topic/ctc/ctc_loss.ipynb |
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# + [markdown] colab_type="text" id="M3XH_XLsy_Bn"
# _... | s/DS_Sprint_Challenge_6_2.ipynb |
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import numpy as np
import os
import pandas... | process/binary_classification_wider.ipynb |
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# + [markdown] id="Qvexyww7a-0o"
# <div>
# <img src="h... | WEEK_3/RepMLA_3_1.ipynb |
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import casadi as ca
import sys
sys.path.insert(0, ... | homework/6-Casadi-Brach.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Section 2: Elementary machine learning algorithms/linear_regression/linear_regression.ipynb |
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import pandas as pd
pwd
nba_finals_db = pd.read_csv(... | python/NBA_Final.ipynb |
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import ... | python_notebooks/Untitled.ipynb |
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# Before running this notebook, it's he... | examples/basic_read_plot.ipynb |
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import requests as r
url = 'https://api.c... | basics/basics5.ipynb |
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# # Unsupervised Learning Project: Creatin... | customer_segments/customer_segments.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
... | codes/da_ctr.ipynb |
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import jax.numpy as np
import numpy as onp
from ja... | notebooks/morphine.ipynb |
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# # Compare North Atlantic chlorophyll values to krill rela... | notebooks/chlorophyll_krill.ipynb |
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# + [markdown] id="rDwYCeIX-kH1"
# # Outlier 처리하기
#
# ... | 02ML/01DataPreprocess/02Outlier.ipynb |
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# # Analysis of MovieLens dataset (Beginner'sAnalysis)... | notebooks/02. Building Recommender of Movie Lens dataset.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Main.ipynb |
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# name: python37764bitpythondatacondaf52d3ce673e8414fae95a6e5f2... | VacationPy/VacationPy.ipynb |
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# # 1. Pytorch basics
# - Used as part of INFO8010 De... | tutorials/lecture1-basics.ipynb |
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# You'll probably want to set our data rate higher... | TheBasics.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | starting-with-data-science/1_first_steps_5_refining_visualization.ipynb |
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import os
import sys
sys.path.append("../")
# -
# %... | notebooks/test-id-only.ipynb |
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# # Day-5
#
# # Assignment-4
#
# # Question -1
#
# # W... | Day-5 Assignment (1).ipynb |
# coding: utf-8
# # 📃 Solution for Exercise M5.01
#
# In the previous notebook, we showed how a tree with a depth of 1 level was
# working. The aim of this exercise is to repeat part of the previous
# experiment for a depth with 2 levels to show how the process of partitioning
# is repeated over time.
#
# Before to ... | notebooks/trees_sol_01.ipynb |
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# + [markdown] id="zyJ25uz0kSaw"
# # Natural Language ... | classifier-models/NB and LSTM Based Classifiers.ipynb |
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# %matplotlib inline
import numpy as np
import matplot... | Chapter 2/Support Vector Machines.ipynb |
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# Probability theory is a cornerstone for machine lear... | qiskit_version/01_Classical_and_Quantum_Probability_Distributions.ipynb |
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# # DATA 531 Lab 1: Python Functions, Lists, and Dicti... | labs/lab1.ipynb |
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import scipy
import numpy as np
import pandas as p... | book/_build/.jupyter_cache/executed/bb8dfa82f48676bbc3cfa3af2f874acf/base.ipynb |
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from IPython.display import HTML
import saspy
#sas = ... | Issue_examples/Issue147.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Concat,_Merge,_Join_DataFrame_in_Pandas_By_INVESTIC.ipynb |
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# # Bquery/Bcolz Taxi Set Performance
# Based on the ... | bquery/benchmarks/taxi/Taxi Set.ipynb |
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# # Visualization of Stock Trading
# import libraries... | visualize.ipynb |
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# !pip install SpeechRecognition pydub
# !pip install ... | Vision/Speech_to_Text/Speech to text.ipynb |
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# + id="xzfJd9DSIuu0" colab_type="code" colab={} cellView="form"
# ==========... | notebooks/aria2cloud_ngrok.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | notes_pytorch/GAN/WGANGP_Cifar10_pytorch.ipynb |
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import numpy as np
import pygmo as pg
a =np.array([1,... | dev_notebooks/dev_NSSDE.ipynb |
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# # Welcome to the Simple ReproNim Tutorial
# In this... | SimpleReproNimTutorial.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # COVID-19 Exploratory Data Analysis
# ## Context a... | notebooks/1-COVID-19-EDA.ipynb |
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# <a href="https://colab... | Tarea_5.ipynb |
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# # Oil and Gas Sector
#
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#
# A look at oil and n... | analysis/oil-gas-inventories.ipynb |
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# ## Layout Solution
# The following cell contains the... | workspace_setup/tutorial_files/solutions/5_hierarchical_generators.ipynb |
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# + active=""
# 说明：
# 给定一个正整数n，返回长度为n的所有可能的出勤记录数，这... | Dynamic Programming/1010/552. Student Attendance Record II.ipynb |
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# <a href="https://colab... | tutorials/W1D5_DimensionalityReduction/student/W1D5_Tutorial3.ipynb |
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with open('textsprint.txt', 'r') as myfile:
te... | ReadRunner Experiments.ipynb |
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# # Práctica 2 - Cinemática directa y dinámica de mani... | Practicas/practica2/simbolico.ipynb |
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from igraph import Graph
from igraph import... | Grafos/Comunidades.ipynb |
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# + [markdown] editable=false
# # Avoiding Data Races
... | Concurrency/Passing Data Between Threads/workspace/Avoiding Data Races/.ipynb_checkpoints/Guide-checkpoint.ipynb |
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# # 内容
# - データ読み込み
# - split
# - x, y生成
# -... | experiments/exp_v00_01_00/main.ipynb |
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# + id="RLoqeMxWYRGy" colab_type="code" colab={}
# !pip install -U -q PyDrive... | house_price_kaggle/house_price_kaggle.ipynb |
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import numpy as np
a = np.arange(0, 10)
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b = ... | Numpy/hstack, vstack.ipynb |
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# # <img... | content/HW/hw7/109/cs109b_hw7_v.ipynb |
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# + [markdown] id="MhoQ0WE77laV"
# ##### Copyright 2019 The TensorFlow Author... | site/ja/tutorials/distribute/custom_training.ipynb |
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# ## Flattening a nested linked list
#
# Suppose you h... | concepts/Data Structures/01 LinkedLists/06 Flattening a nested linked list.ipynb |
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# #### 预处理文件夹：
# 预处理文件夹需要包含两个VOC格式的图片目录和标注目录，分别叫JPEGIma... | ldklib/jupyter_demo/clean_data.ipynb |
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# # Regression Week 1: Simple Linear Regression
# In ... | 1_Regression/Week1_Simple Linear Regression/week-1-simple-regression-assignment-blank.ipynb |
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#<NAME>'19
#GenerativeLSTM
# -
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import datetime
lipidname = "OUPE"
tail = "DDDDD C... | buildITP/OUPE.ipynb |
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# # DSCI 525 - Web and Cloud Computing
# ... | notebooks/milestone-4.ipynb |
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# # Acrobot-v1
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import numpy as np
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fro... | ReinforcementLearning/Acrobot.ipynb |
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# # Assignment 1
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# %%writefile prime_num
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... | notebooks/backtrader-example.ipynb |
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# ### Seaborn is a data visualization library.
# ### ... | 07-data_visualization/06-seaborn_1.ipynb |
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# #!unzip '/content/drive/My... | Classification_Cat_VS_Dogs_Custom_Modelling.ipynb |
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# # <font color = #254117>[EEP 147]: ESG Analysis Not... | ESG/ESG-PracticeRound/ESG_Analysis_PracticeRound_WithWidgetDictionary.ipynb |
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# <h1>datetime library</h1>
# <li>Time is linear
# <l... | week3-pandas/datetime_objects.ipynb |
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# # 데이터 받기 및 전처리
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# # Sorting and Mark duplicates using UMI
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# 1. (010-020) Novo... | NagasakiU/030_SortDedup.ipynb |
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# # Dask for beginners Cheat Sheets sample code
#
# (c... | cheatsheets/dask4beginners/dask4beginners_ClusterSetup.ipynb |
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# # Week 6
#
# Phew. Is it week 6 already?... | lectures/Week6.ipynb |
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# # Evaluate 7
#
# Training convergence figures.
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