code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# # Scores_comparison
from pandas import read_csv, co... | Scores_comparison.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | VAE.ipynb |
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import pafy
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#pafy.set_api_key('<KEY>')
driver.get... | Youtube Crawling.ipynb |
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# # Numpy
# Numpy is used by most scientific packages ... | Matrix+Operations.ipynb |
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from CDL_utils import *
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cd = cdl_utils()
cd.load... | SG filter fpari.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span class="tocSk... | .ipynb_checkpoints/exercise-proximity-analysis-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | content/courses/deeplearning/notebooks/pytorch/sequence_models_tutorial.ipynb |
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# # Predicting Loan Defaults w/ Natural Language Proce... | notebooks/4.1-ng-nlp-kiva-loans-text-processing-term-frequency-model.ipynb |
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# # Sujet 2
# <NAME>
# ## Système binaire (hex), o... | usr/piq/exam/sujet_2.ipynb |
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import pandas a... | mission_to_mars.ipynb |
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from glob import glob
import pandas as pd
import json
... | summarization/sentiment/news-sentiment.ipynb |
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import pandas as pd
import numpy as np
from sklear... | Assignment_9/Naive_bayesian/Naive_bayesian Code.ipynb |
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# + [... | machine learning/Markov Models.ipynb |
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class config:
# path to training data
training_da... | Untitled.ipynb |
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n, m = map(int, input().split())
arr = list(map(int, i... | hacker-rank/Python/Sets/No Idea!.ipynb |
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# # Curve fitting
#
# <NAME>
# Curve fitting is the p... | notebooks/CurveFitting.ipynb |
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# # Training tweaks for an RNN
# + hide_input=true
fr... | docs_src/callbacks.rnn.ipynb |
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#The data is in the csv files
import pandas as pd
impo... | ENSO(El Nin'o-Southern Oscillation) Machine Learning Project.ipynb |
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# + [markdown] papermill={"duration": 0.015601, "end_t... | intro_to_deep_learning/03-stochastic-gradient-descent.ipynb |
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# Perceptron Kernel
# =================
#
# Imports an... | examples/perceptron_kernel.ipynb |
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# ## temperature point distribution when feel cold
fi... | Compare different comfort level.ipynb |
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# +
import tensorflow as tf
import numpy as np
from pa... | notebooks/.ipynb_checkpoints/visualize_coco_distortion_keypoints-checkpoint.ipynb |
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# + colab={} colab_type="code" id="wS7kosIqpqvw"
from ... | ISL-CNN-Model2.ipynb |
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# # Surface Boundary Conditions on the Sub-Giant Branc... | Daily/20150820_A_star_models.ipynb |
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# ### Kuvan lukeminen ja tulostamien
#
# Huomaa, että ... | kuvankasittely/artikkeli1/image_transformations.ipynb |
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# In this notebook we will look how we can use Cython ... | notebooks/40-chemical-kinetics-cython.ipynb |
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# default_exp linear
... | linear.ipynb |
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# # Examples and Exercises from Think Stats, 2nd Editi... | code/chap02ex.ipynb |
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# # Trainer
# +
import os
import torch
import transf... | notebooks/4a_finetune_gpt2_native.ipynb |
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from keras import applications
from keras.models impor... | plot/Plot_GRU.ipynb |
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# ## 8-1. オラクル
# 本節では、探索問題を一般的に扱い、その計算量を考えるために必要な概念である... | notebooks/8.1_oracle.ipynb |
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# + [markdown] id="sbFohvuZNLdx" colab_type="text"
# # Toxic Comment Detector... | Notebook/ToxicComment_Detector_And_API.ipynb |
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// name: jav... | tests/notebooks/ipynb_java/simple-helloworld.ipynb |
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# Thus far we have seen the following data types:
#
# ... | notebooks/03/lists.ipynb |
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# # A larger example
#
# Here we will use a dataset on... | Week3/Wine.ipynb |
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import numpy as np
my_arr = np.arange(1000000)
my_li... | .ipynb_checkpoints/introdutory_examples-checkpoint.ipynb |
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# # Getting Started
#
# **Markdown** is a method to wr... | notebooks/Getting_Started-notebooks/JupyterBasics.ipynb |
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# # Jupytext with Jupyter Book... | jupyter_book/tests/site/content/tests/jupytext/jupytext_ipynb.ipynb |
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# +
#all_slow
# -
# # clintox
# > Using molmapnets fo... | 05_clintox.ipynb |
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# ## Check inputs to Ho Chi Minh City regional model b... | notebooks/user/hango/hcmc_check_inputs.ipynb |
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import pandas as pd
import numpy as np
import matp... | Autoregression/.ipynb_checkpoints/Autoregression (DEOK)-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | 1_1_1_Perceptron_and_Adaline.ipynb |
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import os, glob
import numpy as np
import ... | jupyter/Calculation_IoUs.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | iris-server.ipynb |
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# <a href="https://colab... | Modulo_3/NLP1.ipynb |
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# ## [Largest prime factor](https://projecteuler.net/p... | problem3.ipynb |
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# ## Task
#
# In the following task you should obtain ... | notebooks/week6/6.02_task.ipynb |
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# default_exp datapipe
from nbd... | nbs/02_database.ipynb |
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#importing libraries
from keras import Sequential
... | Project 1 - Part A Submission Files/Project 1 - Part A - L18-2088.ipynb |
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% ## Matlab demo: calculate BMI index
clearvars;
% + tag... | matlab_example/Demo_calc_BMI_matlab.ipynb |
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# <h1>Redes Neurais</h1>
#
# <h2>O que é?</h2>... | Outros/Redes_Neurais/1_teo_rede_neurais.ipynb |
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# `Дисциплина: Методы и технологии машинного обучения`... | Labs/Lab-03_before.ipynb |
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import numpy as np # linear algebra
import pandas ... | notebooks/Taxi_EDA.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
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# # SIMEX ... | examples/crl_focus.ipynb |
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# ## Unit 5 | Assignment - The Power of Plots
#
# ## B... | raw_data/raw_data/Untitled.ipynb |
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# # Capacity Building
# ## Prerequis... | notebooks/capacity_building/1-basic-model.ipynb |
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# ---... | 2020/practice_problem/GoogleHashcode2020Practice.ipynb |
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# + [markdown] id="Um6OuOdW4nEm"
# # 載入資料
# + id="HNkMiTtGXwm5"
# !gdown --i... | Others/Time_Series_MayToNov.ipynb |
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# # User Defined Functions
#
# *User defined functions... | tutorials/notebooks/tutorial/userdefinedfunctions.ipynb |
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import os
import os.path
import sqlite3 as sq3
import ... | Code/DP_EXP.ipynb |
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import matplotlib.pyplot as plt
import numpy as np... | hw3/loess.ipynb |
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# # Comunicazioni a lunga distanza
#
# La trasmissione... | Notebook/Comunicazioni_a_lunga_distanza.ipynb |
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# + id="YUMEWfW-rWpF" colab_type="code" colab={"autoexec": {"startup": false,... | Keras_CNN_CIFAR10 GC.ipynb |
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from pathlib import Path
import mne
import mne_bids
#... | 01_switch-to-BIDS.ipynb |
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# # Selecting Subsets of Data in Pandas
#
# This noteb... | Pandas/Idiomatic_Pandas/04 How NOT to select subsets of data.ipynb |
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# +
import cdsapi
c = cdsapi.Client()
c.retrieve(
... | notebooks/notebook archive/Untitled.ipynb |
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# # Modeling and Simulation in Python
#
# Chapter 3
#
... | code/chap03.ipynb |
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# # Expert Architope: Semi-Supervised
# ---
#
# **What... | GET_FFNN_is_ADAM/Architope_Expert_Semi_Supervised_Standalone.ipynb |
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# ## Recurrent Attention Model
# considers attention a... | doc/notebooks/RAM-notes.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | day3_simple_model.ipynb |
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// # Configuration Tutorial
//
// This tutorial ... | tutorials/configuration-tribuo-v4.ipynb |
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# + id="gCSrX1NMs7a6" colab_type="code" colab={"base_uri": "https://localhost... | modeling.ipynb |
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import pathlib
import pandas as pd
imp... | nbs/5 - Convert Dataset into Vectors, Split & Export.ipynb |
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import sys
from my_weapon import *
from tqdm impor... | analyze_interaction.ipynb |
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# # Example usage
#
# To use `covidtracker... | docs/example.ipynb |
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import numpy as np
from math import sqrt
# метод вра... | LW3/LabWork3.ipynb |
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# + raw_mimetype="text/restructuredtext" active=""
# .... | doc/source/visualization/star.ipynb |
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# %load_ext autoreload
# %autoreload 2
# ... | tutorial_notebooks/finite_size_effects.ipynb |
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# # Learning the Structure of Generative Models
# In ... | tutorials/advanced/Structure_Learning.ipynb |
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# # 2kr Analysis
# +
import os
import math
import pan... | analysis/2kr.ipynb |
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# + [markdown] id="u5qFiv1JOpHj"
# # Imports
# + colab={"base_uri": "https:/... | notebooks/cleaning_preprocessing.ipynb |
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import cv2
import matplotlib.pyplot as plt
# %matplotl... | ChangeColorSpace/Color_to_gray .ipynb |
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# name: python38164bitpyudemyconda8c705f49a8e643418ce4b1ca64c8ab63... | Chapter5_Functions/Decorators/decorators_stacked.ipynb |
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# #            &... | DNA Translation/DNA Translation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# [![Open in Colab](http... | examples/GWTC1.ipynb |
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# _<NAME>, <NAME>, <NAME>_
#
# This is a sandbox for d... | sandbox.ipynb |
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# %matplotlib inl... | climate_starter.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | DataScience/DS-Unit-1-Sprint-1-Data-Wrangling-and-Storytelling/Untitled3.ipynb |
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# # Preparation for covariate modeling:
# In this not... | notebooks/2_modeling_of_covariates_and_GWAS_analysis/2_covariate_effect_gene_level_modeling_preparation.ipynb |
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# # Fit monotonic binned poly-tccd acquisition... | fit_acq_model-2018-11-dev/fit_acq_model-2018-11-binned-poly-mono.ipynb |
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# + id="MWL5dM2rq2Rm"
import cv2
import nu... | src/.ipynb_checkpoints/Big_Dipper_Studios-checkpoint.ipynb |
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# # Custom Estimator with Keras
#
# **Learning Objecti... | courses/machine_learning/deepdive/03_model_performance/labs/c_custom_keras_estimator.ipynb |
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# +
#LDA алгоритам
# -
import matplotlib.pyplot as pl... | Exercise 01 - LDA classificator.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# ## ... | .ipynb_checkpoints 2/10_ErrorHandling-checkpoint.ipynb |
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# # Project Euler 2 - Even Fibonacci numbers
# https:/... | Project-Euler/2-even-fibonacci-numbers.ipynb |
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a=10
def outer():
x=20
def inner():
gl... | VMC Python/VMC Python - Class/VMC Python - Class 11.0/VMC Python - Class 11.2.ipynb |