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# # Analysis for PV Panels in North of Norway (latitud... | projects/PV/PV_Finnmark.ipynb |
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# # Modelling
#importing the dependencies
import os
i... | Capcha_recognition_model.ipynb |
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# # Python Practice Exercise
# In this notebook, you ... | Homework/Homework 1/python-exercise.ipynb |
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... | 20.Mathematical Expression.ipynb |
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-- # Try Haskell!
--
-- [Haskell](https:/... | notebooks/Welcome to Haskell.ipynb |
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# # Assignment2 Day8
file=open("File1.txt","w")
file.... | Assignment2D8.ipynb |
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from pathlib import Path,PurePath
input_dir = Pure... | ChallengeV0.ipynb |
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# + deletable=true editable=true
import numpy as np
im... | latent_factors/eval/qualitative_evaluation_of_factors.ipynb |
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# # Assignment: Climate change in the zero-dimensional... | content/courseware/assignment-zero-dim-ebm.ipynb |
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import tensorflow as tf
import os
# %pylab
env = 'Min... | Discriminator rewards to expert .ipynb |
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import numpy as np
import pandas as pd
from IPyt... | Lecture 52 Decision surface overfitting cross validation.ipynb |
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from pulp import *
prob = LpProblem("The Problem",... | Firma.ipynb |
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# 1. Extracting 50 frames from Pain vid 1-2 each in RG... | Harshita Das Pain[vid 3-4]/Model/frame_extract.ipynb |
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import tensorflow as tf... | ENIAC-experiments/.ipynb_checkpoints/TFtutorial3-checkpoint.ipynb |
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# # Optimization Methods
#
# Until now, you've always ... | Hyperparameter Tuning, Regularization and Optimization/Week 2/Optimization_methods.ipynb |
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# # CNN study case: train on Cifar10.
#
# On this note... | training/CIFAR10-Training.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Matrix_Algebra.ipynb |
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import numpy as np
import pandas as pd
from pandas imp... | Stock data exercises.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # C... | pyDataSP - tfcausalimpact.ipynb |
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# %matplotlib inline
#
# # Plot sulci on the flatmap
... | example-notebooks/quickflat/plot_sulci.ipynb |
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# + id="KbOGOZ-CeT41" colab_type="code" colab={"base_uri": "https://localhost... | HelloGithub.ipynb |
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# ## Algoritmo Truly PPO: CartPole
# #### TFG: Aprendi... | PPO/Pong/Pong PPO.ipynb |
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# # Course set-up
__author__ = "<NAME>"
__version__ =... | setup.ipynb |
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# hash: 006b2a4c59105e151f59d7a783e96696... | alec-work/salaries_groupby_2015.ipynb |
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# %matplotlib inline
#
#
# Filtering and resampling d... | stable/_downloads/d15c1ed8d2bf297d3ebea4bf898564e3/plot_artifacts_correction_filtering.ipynb |
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# Analyze ferrozine incubation data
# Copyright <N... | Figure_04_photoferrotrophy_incubation/plot/.ipynb_checkpoints/incubation_plotter_191122-checkpoint.ipynb |
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# + id="JSjG64ra4aFu"
# from google.colab import drive... | AAAI/Learnability/CIN/Linear/CIFAR/CIFAR_CIN_30k_cnn2_m_50.ipynb |
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# %matplotlib inline
#some basic imports
import nu... | Analytics.ipynb |
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# # Going beyond galaxi... | docs/examples/beyond_galaxy.ipynb |
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from tika import parser
import camelot
import os
impor... | Camelot to pickle.ipynb |
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# %load_ext rpy2.ipython
# ## Growth rate in the fol... | Figure_S4/Figure_S4B.ipynb |
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# # Get Molecular Libraries
#
# - `obabel` is assumed ... | fxa/2_Molecular_libraries/1_Get_Molecular_libraries.ipynb |
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# # Getting Started with Qiskit
#
# Here, we provide a... | docs/tutorials/fundamentals/1_getting_started_with_qiskit.ipynb |
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# The Black-Scholes model was first introduced by <NAM... | content/posts/Black-Scholes Formula.ipynb |
# -*- coding: utf-8 -*-
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# # SEC EDGAR database
# ## What is EDGAR?
# [... | EDGAR.ipynb |
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# # Question 1
# Write a python Function for finding w... | Day-9/Day9_assignment.ipynb |
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"""Есть в папке картинок но нет в базе"""
import ... | .ipynb_checkpoints/сравнение директорий-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/Aphantasia.ipynb |
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# ## Select MOFs and create dataset
import xlrd
from ... | sciviscomm/pza-dataset.ipynb |
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# ## Data Exploration
# +
import numpy as np
import p... | drug_set2/drug2_explore_data.ipynb |
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# + [markdown] _cell_guid="eda636ab-c737-4c65-91d4-662... | Data_Visualization_Learning/kernel_01.ipynb |
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from iterdub import iterdub as ib
from iterpop import ... | binder/date=2021+project=72k5n/a=with-lac-417-vs-sans-lac-417/a=with-lac-417-vs-sans-lac-417+compute-work=0+simels_per_cpu=2048+ext=.ipynb |
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# # **DSFM Demo**: Credit Default - Simple Models
# C... | demos/credit-default-simple/credit-default-simple.ipynb |
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# # Data Quality Report
# %cd -q ../../../src/
from ... | docs/source/nbs/DQR.ipynb |
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# ## import tensorflow and other packages
import tens... | jupyterhub/notebooks/zz_under_construction/zz_old/TensorFlow/Labs/lab2_NN.ipynb |
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# # Exercício de Programação 5: Regressão
#
# <font co... | src/eps/gabarito/EP5.ipynb |
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# <img src="http://akhavanpour.ir/notebook/images/srtt... | 13-Sharpening.ipynb |
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# + [markdown] id="KJQPpBXZDZvQ" colab_type="text"
# ### IMPORTS
# + id="0R-... | model_notebooks/med_cabinet_nn.ipynb |
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# ## Envinroment preparation
# First line if **magic*... | workspace/01-preproc.ipynb |
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# # Housing Rental Analysis for San Francisco
#
# In t... | san_francisco_housing.ipynb |
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import pandas as pd
import matplotlib.pyplot as pl... | Melekhin/2_Model_Selection_MiddleReport.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab.research.goo... | notebooks/DataViz1.ipynb |
# +
# #!/usr/bin/env python
# This Python file uses the following encoding: utf-8
# Copyright 2018 Google LLC
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licen... | examples/notebook/examples/stigler_diet.ipynb |
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# # Playful: Find your new favorite computer game
# He... | Playful's Pipeline.ipynb |
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# + id="copyright"
# Copyright 2021 Google LLC
#
# Licensed under the Apache ... | notebooks/community/ml_ops/stage2/get_started_vertex_tensorboard.ipynb |
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# Purpose = get population for any 10 countries us... | test/test2.ipynb |
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# ## Problem 1
# Given: $N \sim Poisson(\lambda)$ and ... | 2015_Fall/MATH-578B/Homework5/Homework5.ipynb |
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# # 08 - Saving and loading the data in .npz format
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# # PyEI Overview
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# PyEI is a Python package for per... | pyei/intro_notebooks/PyEI_overview.ipynb |
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# # Absenteeism - Applying Machine Learning
# #### Im... | notebooks/Absenteeism - Applying Machine Learning with Logistic regression.ipynb |
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# Investiga la forma de mostrar un botón upload en tu servidor flask al entrar en la URL y que permita subir un archivo (csv, json, etc) que s... | week9_ML_svm_poly_norm/day2_svm_poly/exercises/6.flask_pro.ipynb |
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# # ASSIGNMENT CONFIG
# template_pdf: tr... | examples/data-88e-proj03/proj03.ipynb |
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# + [markdown] id="oYmLuFpOyZMr"
# # Introducción a Google Colaboratory
#
# <... | Datos-Jupyter-Notebooks-Anaconda/introduccion_colab-2_b57bfddc-9484-4701-a638-64bcb1061ae6.ipynb |
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# ## About Dataset
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# # <span style='background:DarkOliveGreen... | Python+Pandas21/MAs_9x21_23mar22_18h.ipynb |
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# We'll expand on our python data cleaning, analysis, ... | 2020-02-27-plotly-animations-bpd-melanieshimano-STARTER.ipynb |
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# # Automatically generate new Python files from... | assets/code/scrapeSportradarEndpoints.ipynb |
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from sacred import Experiment
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# # Overfitting & Regularization
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# ## Forced SIR model using R and simecol
library(deSolve)
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# # Scikit-Plot for Quick Machine Learning Evaluation
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# # Collision Avoidance - Live Demo
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# In this notebo... | notebooks/collision_avoidance/live_demo.ipynb |
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# # Time-Constraint NFV Profiling (or Benchmarking)
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# # Entity Extraction and Document Classification
# #... | notebooks/Entity Extraction and Document Classification.ipynb |
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# #### New to Plotly?
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# %matplotlib inline
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# + [markdown] id="V1yAtcJaYmm3" colab_type="text"
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# ## Simple Regression Example
#
# ![photo_2019-11-17_... | TensorFlowUDemy/Solve regression problem using tensorflow.ipynb |
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# # Hidden Linear Function Problem
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# + [markdown] id="view-in-github" colab_type="text"
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