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# # Exercise Notebook (DS)
# this code conceals irrel... | Omobolanle Adeyemi WT 192/10.ipynb |
# # Create General KLDCriterion
# ## Verify forward pass
require 'BKLDCriterion'
require 'KLDCriterion'
bkld = nn.BKLDCriterion()
kld = nn.KLDCriterion()
mu = torch.randn(3,4)
lv = torch.randn(3,4):pow(2):log()
pmu = torch.zeros(3,4)
plv = torch.zeros(3,4)
print(bkld:forward(mu, lv))
print(kld:forward({pmu, plv}, {... | notebooks/gradient_checker.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Tarea_1_CC.ipynb |
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# + [markdown] id="exterior-meaning"
# # Deviations fr... | course1portfolio_construction/Copy_of_deviationsfromNormality.ipynb |
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from PyQt5.QtCore import QDate, QTime, QDateTime, Qt
... | 01 PyQt5 date and time.ipynb |
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import pandas as pd
import matplotlib.pyplot as pl... | data-wrangling.ipynb |
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# # SLU19 - k-Nearest Neighbours (kNN)
#
#... | S01 - Bootcamp and Binary Classification/SLU19 - k-Nearest Neighbors (kNN)/Learning notebook.ipynb |
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from spellchecker import Spell... | notebooks/industry grouping.ipynb |
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# %matplotlib inline
import pandas as pd
import seabor... | notebooks/iris.ipynb |
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# %matplotlib inline
import pandas as pd
import n... | Day_2_Software_engineering_best_practices/solutions/04_modules/04_modules.ipynb |
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# # Import Data
import numpy as np
import pandas as p... | Stock_RF_day_1.ipynb |
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#from yahoo_finance import Share
# changed to https://... | TFv2/ch13/Listing 13.01 - 13.04.ipynb |
# -*- coding: utf-8 -*-
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import numpy as np
import pandas as pd
import pandas_p... | notebooks/3.0-rah-updatedLogisticRegression.ipynb |
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import pandas as pd
import numpy as np
import scipy as... | evaluation.ipynb |
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# # Training from scratch on Imagewoof with the effici... | Imagewoof from scratch.ipynb |
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# # <center>Построение простейших моделей прогнозирова... | Forecasting-Methods/1. Naive forecasting models 2/1. Naive forecasting models.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# This not... | experiments/surrogate_gradient_experiment/surrogate_gradient_deep_snns.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %env CUDA_DEV... | notebooks/02.5-make-projection-dfs/multiple_spread/batsong-umap-indv.ipynb |
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import pandas as pd... | SEL/misc/water_data.ipynb |
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# # 2-3 Intro Python Practice
# ## power iteration o... | Python Fundamentals/Module_3_Practice_Python_Fundamentals.ipynb |
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# ## Imports
import numpy as np
import pandas as pd
i... | NLP-Project(Bag of Words model).ipynb |
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from astropy.io import ascii
import numpy as np
import... | cosmos_ultravista_data/mainseq_morphology.ipynb |
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# # Pragmatic color describers
__author__ = "<NAME>"
... | colors_overview.ipynb |
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# + id="p4yIVZCyJyL0" executionInfo={"status": "ok", "timestamp": 16045591197... | google_colab/movie_crawling.ipynb |
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# # <center> Interpolación de Lagrange <center>
impor... | Act_4_lagrange/.ipynb_checkpoints/interpolacion-checkpoint.ipynb |
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ext... | examples/sample_file.ipynb |
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#default_exp cifar_loader
# -
# # CIFAR Loader
#
... | nbs/02_cifar_loader.ipynb |
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# # Exercise List 6
#
# Utilizando o Apache Spark e de... | pyspark/exercise_list_06.ipynb |
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# # Exploring Ensemble Methods
# # Question 1
# <img... | machine_learning/3_classification/assigment/week5/quiz-week5-assignment1.ipynb |
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# # Understanding Factors in Animal Shelter Pet Adopti... | Capstone Project 1/Data Wrangling - Pet Adoption V2.ipynb |
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# # DC Criminalistics: Transit Recommender
# ## Impor... | demo/Capstone Demo Notebook_final.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | calisma_defteri.ipynb |
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def foo():
print('Running in f... | Gevent.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | Udemy/Refactored_Py_DS_ML_Bootcamp-master/20-Natural-Language-Processing/01-NLP (Natural Language Processing) with Python.ipynb |
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# <small><small><i>
# All the IPython Notebooks in thi... | 006_Python_Sets_Methods/015_Python_Set_symmetric_difference_update().ipynb |
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# + [markdown] id="SZS0wkHPlyFO" colab_type="text"
# # A: Studying Higgs Boso... | content/en/modules/notebooks/E534_Higgs_Discovery_A.ipynb |
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# # 訓練情感模型
# 分析這篇文章中的李＋賢是否有ＡＭＬ風險＿將2-2處理好的300個字資料集進行訓練
... | step3_bertmodel_300.ipynb |
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# !dir
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from sklearn import linear_model
import n... | Linear Regressions.ipynb |
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# <script async src="https://www.googletagmanager.com/... | Tutorial-SEOBNR_Derivative_Routine.ipynb |
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#load "../../bin/net45... | notebooks/other/Deedle/lazysource.ipynb |
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# <img align="left" style="padding-right:10... | modulo1_tema4_Py_31_numpy.ipynb |
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# imports
import numpy as np
import timeit
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import pandas as pd
import numpy as np
import matpl... | notebooks/E03_PHM08-train-best_MLP_and_SVM/model_selection-OP_04-navarmn/0.1-model_selection_MLP--OP_04-navarmn.ipynb |
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from IPython.core.display import display, HTML
import ... | Python scripts/theoretical rel density for uniform growth.ipynb |
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import pandas as pd
import numpy as np
import shap... | pbmc_clustering_anaysis.ipynb |
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from keras.datasets import imdb
from keras import prep... | 2019-01-23-word-embedding.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | classification/dog_cat_classification_CNN.ipynb |
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# This notebook walks you through how to use accelerat... | samples/tutorials/gpu/gpu.ipynb |
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from sklearn.datasets import load_iris
from sklear... | Cross_Validation_Grid_Search_StratifiedFold.ipynb |
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# ## Packages
# +
import numpy as np
import sys
impor... | comrx/dev/deprecated/comics_rx-03c_build_comics_factors_v1.ipynb |
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# # Short Bursts
#
# We look at the behavior of using ... | misc/simple_random_walks_and_short_bursts.ipynb |
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# ## Activity 1.02: Forest Fire Size and Temperature A... | Chapter01/Activity1.02/Activity1.02.ipynb |
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# ### Get csv ready
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# # Project "Training a cat to catch a Mouse u... | catHiddenMouse.ipynb |
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# ## Exercise 01.1
#
# Degrees Fahrenheit ($T_F$) are ... | Assignment/01 Exercises.ipynb |
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import json
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# # Nanoparticle‐microglial interaction in the ischemi... | RAW_Joseph_Liao_OGD_Nanoparticle_interaction-Raw.ipynb |
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import numpy as np
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import matplotl... | Machine Learning A-Z Template Folder/Part 2 - Regression/Section 7 - Support Vector Regression (SVR)/practice.ipynb |
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# + [markdown] id="H7LoMj4GA4n_"
# # Train a GPT-2 Text-Generating Model w/ ... | gpt2_finetune.ipynb |
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# ## 2020년 7월 1일 수요일
# ### BaekJoon - 8진수 2진수 (Python)... | DAY 101 ~ 200/DAY146_[BaekJoon] 8진수 2진수 (Python).ipynb |
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# # How to use `dialogExtend` with jp_proxy_widgets
#
... | notebooks/misc/JQueryUI dialogextend plugin demo.ipynb |
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# + colab={} colab_type="code" id="wYtuKeK0dImp"
# ATT... | Coursera/Exercise_4_Multi_class_classifier_Question-My_Resolution.ipynb |
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# # Smoketest for exercises in Informationvisualisatio... | 0_smoketest.ipynb |
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# # Normalized Sense Function
#
# In this notebook, le... | Object Tracking and Localization/Robot Localization/Normalized Sense Function/Normalized Sense Function, exercise.ipynb |
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import matplotlib.pyplot as plt
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import os
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# # 3 Fast Learning SVM
# ## Preparing datasets
impo... | Module 3/Chapter 3/Chapter_3_code.ipynb |
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# ## Gated PixelCNN... | models/gated_pixelcnn.ipynb |
# -*- coding: utf-8 -*-
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using Pkg
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im... | EmployeeSQL/.ipynb_checkpoints/Analysis-checkpoint.ipynb |
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import cv2
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import m... | Vision Meets ML/HW4/Part_1_origin/multi-person-openpose_1.ipynb |
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# # Module 1: Introduction to Exploratory Data Analysi... | module_1_introduction/1_4_exploratory_data_analysis.ipynb |
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# + id="mvePf4fVelQ0" colab_type="code" colab={}
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# This notebook illustrates how to perform Linear Regr... | MACHINE_LEARNING/.ipynb_checkpoints/Linear Regression in Python-checkpoint.ipynb |
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# # AC Notes
# ## Files
# ### 20200303_ForestPotential... | notebooks/crowther/Scripts/Automated_Pipeline_Examples/Biome_Future_Predictions_iMacProVersion.ipynb |
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# # Introdução ao Python - <NAME><img src="https://oct... | Aulas/.ipynb_checkpoints/Caderno-03-checkpoint.ipynb |
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