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# hash: a6730fb0a06c18af636869813f8eb6... | DATA_ANALYST/PYTHON-8/8-Notebook.ipynb |
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# ## Minimization function
# +
from biorefineries imp... | BioSTEAM 2.x.x/biorefineries/oilcane/.ipynb_checkpoints/lipid_extraction_efficiency_inflection-checkpoint.ipynb |
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# Importing the libraries
import numpy as np
impor... | Machine Learning/Reviews Sentiment Analysis/Reviews Sentiment Analysis.ipynb |
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# ## Slug Test
# **This test is taken from examples o... | pumpingtest_benchmarks/12_falling-head_slug_test.ipynb |
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# #### I have a GOT dataset for season 1 and 2
# First... | Keras LSTM | Character Generation.ipynb |
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# # Loop Recovery Method
#
# ## Imports
import sys
s... | notebooks/section-2-paths-invariants/Mergings Loops.ipynb |
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# # HISTORY
# ## 0.3.1
#
# | Products under test ... | docs/HISTORY.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Data_Wrangling_By_INVESTIC_Part_I.ipynb |
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# %reload_ext autoreload
# %autor... | pipelining/exp-cslg/anchor_metrics.ipynb |
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# ![Callysto.ca Banner](https://github.com/callysto/cu... | Science/StaticAndKineticFriction/static-and-kinetic-friction.ipynb |
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# # Naive Bayes Classification with TREC Dataset
# <hr... | 1_Naive_Bayes/Naive_Bayes_TREC.ipynb |
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# + id="N8prLEJutaC5"
# !nvidia-smi -L
# %tensorflow_version 2.x
# + id="uvC... | notebooks_run/notebook_run_3d/results_body3d_earlyadd.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | .ipynb_checkpoints/Submission-checkpoint.ipynb |
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# %matplotlib inline
import pylab as plt
import numpy... | tomo/yaivan/zero.ipynb |
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# # 第4章 拡散方程式
# ## 4.4 楕円型方程式を解く：ポテンシャル方程式を例に
import... | chapter4-4-PotentialEquation.ipynb |
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from scipy import misc
import os.path
#find neares... | scripts/notebooks/check_translation.ipynb |
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seed_ = 2
from numpy.random import seed
seed(seed_... | explore.ipynb |
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# # PmodTMP2 Sensor example
#
# In this example, the P... | boards/Pynq-Z2/base/notebooks/pmod/pmod_tmp2.ipynb |
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# %matplotlib inline
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import sys, os
import numpy as np
import pandas as... | development/examples/PopSimulator/GeneExpression/.ipynb_checkpoints/PopSizeGene-SingleStep-checkpoint.ipynb |
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sonnetsUrl = "http://www.gutenbe... | SonnetsCorpus.ipynb |
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# Presentation: https://tinyurl.com/yyuw6jf2
# This re... | Documentation/Examples/bcn_python_meetup.ipynb |
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#      
#    &... | hpc_ai/ai_science_climate/English/python/jupyter_notebook/Tropical_Cyclone_Intensity_Estimation/Competition.ipynb |
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# <h2><u><center>CARD CLASS:</center><u></h2>
# +
# C... | Section 11 - Milestone Project 2/Step wise game.ipynb |
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# # Hello! Welcome to GMT/Python.
# This is a Jupyter... | GMT/StudentProjects/2018/GuopingLi/try-gmt.ipynb |
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# # I manually created this file by watch youtube
#
# ... | .ipynb_checkpoints/Kevin_IndyPy-DataModel-Feb18-checkpoint.ipynb |
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import numpy as np
from sklearn.linear_model impo... | 82.868/Prediction.ipynb |
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# Academy project
# ===============
# Objectifs:
# ---... | notebooks/academy_explo.ipynb |
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import numpy as np
import geopandas... | Data collection and engineering/simulation_April6_2021.ipynb |
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import pandas as pd
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import plotly
... | notebooks/Python3-DataScience/05-Seaborn/06-Plots styles.ipynb |
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# default_exp albumcover
# -
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# + [markdown] id="view-in-github" colab_type="text"
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# # !pip install brewer2mpl
import numpy as np
imp... | notebooks/Untitled.ipynb |
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# # Example 2: One-dimensional heat flow (exs2.py)
... | examples/.ipynb_checkpoints/exs2-checkpoint.ipynb |
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# %load_ext autoreload
# %autoreload 2
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import pulp as p
# +
# problem 1
Lp_prob1 = p.LpProbl... | .ipynb_checkpoints/Homework_2-checkpoint.ipynb |
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# # <NAME>
# ## Line regression
# ### Exercise 1
# ... | Regression_and_statsmodels.ipynb |
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# # Magnetic Field Profiles
#
# %matplotlib inline
im... | Daily/20150912_mag_profiles.ipynb |
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# + id="JSjG64ra4aFu" outputId="8d1d5d00-6406-436b-ef9... | 1_mosaic_data_attention_experiments/11_mosaic_from_CIFAR_involving_direction/using_higher_variance_direction/extra codes/fg_123_run1.ipynb |
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import pyzx as zx
qubit_amount = 4
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# # cw 1
# from https://github.com/zhiwehu/Python-pro... | cwiczenia.ipynb |
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import matplotlib.pyplot as plt
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# # References:
# 1. Deep Learning for Predictive Main... | notebooks/jupyter/LSTM predictions for Remaining Useful Life.ipynb |
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# # Task 3
# # Imports
# +
import json
import numpy ... | notebooks/Milestone3-Task3.ipynb |
# -*- coding: utf-8 -*-
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# # Deutsch–Jozsa Algorithm Tutorial... | tutorials/DeutschJozsaAlgorithm/DeutschJozsaAlgorithmTutorial.ipynb |
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# %matplotlib inline
#
# # Plot a cortical parcellati... | 0.17/_downloads/e4c80995312cbf444f08bae49b269d8b/plot_parcellation.ipynb |
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import os
import re
import warnings
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import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
vinos = pd.read_csv("archives/vino.csv")
vinos.... | Machine Learning/arboles_decision.ipynb |
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# # Radio Tutorial 2: Density models and r... | day2_radio_session/.ipynb_checkpoints/radio2_questions-checkpoint.ipynb |
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# ## 2021년 8월 23일 월요일
# ### Programmers - 직업군 추천하기 (Py... | DAY 401 ~ 500/DAY462_[Programmers] 직업군 추천하기 (Python).ipynb |
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import os, json
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# # Now You Code 3: List of numbers
#
# This example w... | content/lessons/08/Now-You-Code/NYC3-Numbers.ipynb |
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# Notebook for assessing stop/start and dfco impacts
... | fastsim-2021a/fastsim/docs/stop_start.ipynb |
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'''------------------------------------... | LEMS/src/LEMs_QuickLook.ipynb |
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# %load_ext autoreload
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import cv2
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def brightcontrast(ima... | Data Augmentation.ipynb |
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# %matplotlib inline
import numpy as np
import pandas... | main.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # C... | lessons/M4L03_classification.ipynb |
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# #... | Python Functions, Packages, Input_Output, Exception Handling and Debugging/6_modules.ipynb |
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import os
os.environ["PATH"] += os.pathsep + 'C:/Progr... | machine_learning/13_graphical probability model.ipynb |
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# # Kinetic Learning Example
# ## Simulate Limonene Dy... | notebooks/LearnLimoneneDynamics.ipynb |
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# %matplotlib inline
#
# # Cross-hemisphere compariso... | stable/_downloads/e563205ad3014f3289d0b0f8ecb38abf/plot_xhemi.ipynb |
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# # アンサンブルによる学習
# ### 確率質量関数を実装
# +
from scipy.speci... | 7. Ensemble Learning.ipynb |
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# # Hash functions and multiplanes
#
#
# In this lab, ... | C1 Natural Language Processing with Classification/W4/Labs/2 Hash tables.ipynb |
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import numpy as np
import string
import os
from collec... | feature_extract/explore_sequential_features.ipynb |
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from keras import models
from keras import layers
# ... | typeIII/Net1.4.ipynb |
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import pandas as pd
import numpy as np
from sklearn.pr... | salary.ipynb |
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from cassandra.cluster import Cluster
from cassandra.a... | 01day03_etl1/notebook_example/04 Cassandra.ipynb |
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# # Principal Components
import numpy as np
import ma... | cd08.ipynb |
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# + [markdown] id="xLOXFOT5Q40E"
# ##### Copyright 2020 The TensorFlow Author... | site/ja/quantum/tutorials/gradients.ipynb |
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# http://pandas.pydata.org/pandas-docs/stable/visual... | notebooks/matplotlib/pandas_plot.ipynb |
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# <a href="http://cocl.us/pytorch_link_top">... | 5. Dropout/5.1.1dropoutPredictin.ipynb |
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# # Fertig's version of Variational Inference using norma... | bnn14-for-stellarmass.ipynb |
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# # Logistic regression from scratch
def sigmoid(z):
... | logistic_regression.ipynb |
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# # Day 1
https://github.com/c17hawke/Perceptron_impl... | Research_env/Perceptron implementation.ipynb |
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# <h1... | notebooks/client_initialisation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | NumpyFirstone.ipynb |
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# ## Algorithms
#
# In this module, the lecturer will... | week1_algorithms.ipynb |
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from matplotlib import pyplot as ... | labs/06_microscopy/06_counting-puncta.ipynb |
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# # Cotraining classification performance in simulated... | docs/tutorials/semi_supervised/cotraining_classification_simulatedperformance.ipynb |
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import matplotl... | Classification/1) Iris/.ipynb_checkpoints/1) Iris Dateset Solution-checkpoint.ipynb |
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# ## _*H2 energy plot comparing full to particle hole ... | chemistry/h2_particle_hole.ipynb |
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"""
Today we will be looking at exponential and po... | examples/exponential_and_polynomial_regression.ipynb |
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# name: python38164bitpyudemyconda8c705f49a8e643418ce4b1ca64c8ab63... | Chapter4_Iterables/Lists/zip_and_enumerate.ipynb |
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import altair as alt
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i... | linear_fit.ipynb |
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# ## Load PyEpiDAG
import epidag as dag
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# # 大脑磁共振项目
# # 2.数据预处理
# ## 2.1 数据集的准备与介绍
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# # 稠密连接网络（DenseNet）
#
# ResNet极大地改变了如何参数化深层网络中函数的观点。
# *稠密连接网络*（DenseNet） :cite:`Huang.Liu.Van-Der-Maaten.ea.2017... | submodules/resource/d2l-zh/mxnet/chapter_convolutional-modern/densenet.ipynb |