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import pandas as pd
import sys
sys.path.append('.... | code/cohort_age_distribution/CohortMetadata.ipynb |
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# + id="zdy2V-j7zx_U"
import numpy as np
import tensorflow as tf
from tensorf... | prova02_2020_12_16_final_CNN_and_Classification.ipynb |
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# # Additional NAICS Data Processing
# **By: <NAME> a... | notebooks/Additional NAICS Data Processing.ipynb |
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# # Motivation
#
# In [Novikov eta al. 2016](http://pa... | tensor-networks/reshape.ipynb |
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# ### Use the LLH Client & Service to produce FreeDOM ... | notebooks/atfienberg/serviceLLHScans.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/Training_Corona_on_Colab.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # V... | .ipynb_checkpoints/02 Variable Strings and Numbers-checkpoint.ipynb |
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# # Optimizer tweaks
# +
# %load_ext autoreload
# %au... | nbs/dl2/09_optimizers.ipynb |
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import numpy as np
import tensorflow as tf
import rand... | DSprites-Latent-Space.ipynb |
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# # Modeling and Simulation in Python
#
# Chapter 16
#... | code/soln/chap16soln.ipynb |
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# # Introduction to Gaussian Process Model... | tutorials/optimization.ipynb |
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# %load_ext autoreload
# %autoreload 2
import mat... | d003_ManyRx_nrx.ipynb |
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# <h1>LSTM with TIEDVD for B0006.</h... | LSTM_Paper/LTSM_Paper_P2.ipynb |
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# ## `Non-Repetitive Parts Calculator` in Action!
# *... | examples/NRPCalcInAction.ipynb |
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# set tem como objetivo manter apenas valores únicos e... | Set.Range.For.Tuplas.Etc/Set.ipynb |
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import numpy as np
import pylab as plt
import torch
i... | dev/Development - External Sim.ipynb |
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# <table class="ee-notebook-buttons" align="left">
# ... | JavaScripts/Arrays/LinearRegression.ipynb |
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# C)<NAME>, Babol Noshirvani University of Technol... | ECNN_test.ipynb |
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import numpy as np
# $$
# s = |(E_1, p_{1z}) + (m_2, 0)|^2 \... | Energy conversion.ipynb |
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import os
# os.environ["CUDA_VISIBLE_DEVICES"] = "... | train-uxml-adam-optuna.ipynb |
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import numpy as np
import pandas as pd
from gen... | 3.per_article_pretain_vec_3.ipynb |
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# ### DEMSLV03
# # Compute fixedpoint of $f(x) = x^{0... | notebooks/slv/03 Compute fixedpoint of f(x) = sqrt(x).ipynb |
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# What is pandas ?
#
# pandas is an open source python... | 2020Fall/INFO6105/Module 1/pandas_I.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
# %... | diaz/Diaz_PythonBasics3.ipynb |
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# # Usage: ph... | docs/usage_phases.ipynb |
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#... | Keras_Tensorflow/05_TestWebApp.ipynb |
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# # OPEN-CV PROJECT: LIS
# # Import all dependenc... | jupyter/LIS.ipynb |
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# + [markdown] id="-N59E9S4BzSr"
# ##### Copyright 2020 The Cirq Developers
... | docs/tutorials/google/start.ipynb |
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# # Introduction aux outils numériques
#
# Nous allons... | enonces/introduction/IntroNum.ipynb |
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# # Sample Homework
# This homework illustrates the co... | coding_guidelines.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | CPEN21_A_CPE_1_1.ipynb |
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import os
import re
import glob
from datetime impo... | research/archive/9.0 Company Specific Data Analysis.ipynb |
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# Model
path_img = '/examples/IMG/'
path_data = '... | .ipynb_checkpoints/Untitled1-checkpoint.ipynb |
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# # Aerospike Connect for Spark - H2O Tutorial for Pyt... | spark/other_notebooks/AerospikeSparkH2ODemo.ipynb |
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# # Testing script for installation #
# - ... | test.ipynb |
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# # Examining the choice of minimum $\Delta \ch... | notebook/cmx/cmx_dchi2_round2.ipynb |
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import sys
sys.path.append("/home/ly/wor... | new/mvsa-text-cnn.ipynb |
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# # O que faremos aqui
# Neste notebook, iremos prepa... | notebooks/sroie_t5_ocr_baseline_prepare_competition_submission.ipynb |
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import pandas as pd
import numpy as np
from os import ... | 0225 - BuyAndHold with Balancing.ipynb |
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# Install package
# %pip install --upgrade git+git://g... | jupyter notebooks/User Guide/Mutual Fund Reports.ipynb |
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# + [markdown] colab_type="text" id="n_5oRe0SXilM"
# #... | Solutions_1.ipynb |
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from math import pi
from random import uniform
fr... | examples/fractals_tree.ipynb |
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# <a href="https://colab... | notebooks/old_notebooks/EstimateDuration.ipynb |
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import tensorflow as tf
import keras
import matplotlib... | check_valid_set_Affectnet.ipynb |
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# + id="QHfJAkdQk3jv"
import os
project_name = "reco-tut-vrr"; branch = "main... | notebooks/reco-tut-vrr-02-predictions.ipynb |
(* -*- coding: utf-8 -*-
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(* name: ioc... | Fentes_Young/Fentes_Young_OCaml_sujet.ipynb |
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# [Table of Contents](./table_of_contents.ipynb)
# # ... | 12-Particle-Filters.ipynb |
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# # Restoring a Noisy Image
# > Written by <NAME>
#
# ... | PythonHW-1.2.4/image_restoration/HW_image_restoration.ipynb |
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# # Binder Magic Demo
#
# Example of using Binder magi... | Binder magic demo.ipynb |
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from sklearn.cluster import Mean... | demo.ipynb |
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# + application/vnd.databricks.v1+cell={"inputWidgets": {}, "nuid": "0be9b083-4903-434d-bac6-14bef8a12a3e", "showTitle": false, "title": ""}
A... | databricks.ipynb |
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# # Sorting Results
# Imports
import numpy as np
imp... | scripts/practiceScripts/.ipynb_checkpoints/SortingResults-checkpoint.ipynb |
# -*- coding: utf-8 -*-
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# # Chemometrics
# <br>
# **<NAME> / 2017 / Univ... | 3.5_chemometrics-DOE.ipynb |
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# # 列表List
# - 一个列表可以储存任意大小的数据集合，你可以理解为他是一个容器
a=[1,1,... | 7.25.ipynb |
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# The structure of GPflow
# --
# *<NAME>, 2016... | doc/source/notebooks/structure.ipynb |
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# ## this notebook is specifically for BERT classifier... | python_notebooks/bert_classification.ipynb |
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// # In the official S... | wordplay/wordplay.ipynb |
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import os
os.environ["ISISROOT"] = "/usgs/pkgs/... | examples/data_snooping.ipynb |
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import pandas as pd
# Read CSV
df = pd.read_csv("../r... | common/tutorials/src/ML_05_linear_regression.ipynb |
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# # Running TREDMAD
#
# Instructions for installing a... | jupyter/running_tredmad.ipynb |
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# ## Matrix Arithmetic
import numpy as np
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x=np.m... | section2/lecture16_matrix.ipynb |
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# from xrayutilities import Experiment, GID, QConversi... | calx/diffractometer/.ipynb_checkpoints/examples-Copy1-checkpoint.ipynb |
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import numpy as np
import panel as pn
import xarra... | examples/topics/GrabCut.ipynb |
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# ## 1. Example: [Plotting Learning Curves](http://sci... | Lesson6-Causes-of-Error/learning_curve_example.ipynb |
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# **[Pandas Home Page](https://www.kaggle.com/learn/pa... | Pandas/1.Creating, Reading and Writing.ipynb |
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import pandas as pd
import numpy as np
import pickle
... | LSA.ipynb |
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# cd ~/Inzynierka/pythonpic/
from pythonpic.visualiza... | docs/ipynb/animation.ipynb |
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# hash: 31862cc71836a94b0e0781803a3648767fc4cb19... | design/checkpoint_02/harmony_py.ipynb |
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# Author : <NAME>
# github link : https://github.c... | knn.ipynb |
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# # 価値反復
#
# 千葉工業大学 上田 隆一
#
# (c) 2017 <NAME>
#
# This... | value_iteration/simple_value_iteration_no_noise.ipynb |
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# # Calculate the values to be used for normalization ... | notebooks_tcc/0.2-BrunoGomesCoelho-Prepare-data-temperature.ipynb |
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# name: python37664bitbaseconda6d6ca68311e247d... | uygulama_dersleri/pandas_egitim.ipynb |
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# +
### duffing oscillator
import matplotlib
import n... | Stuff From Joel&Rishab/Duff(28-5-20)/gamma=0.38/t=300/duff_gamma=0.38_t=300.ipynb |
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# + [markdown] id="23R0Z9RojXYW"
# # Ungraded Lab: Fea... | c2-machine-learning-data-lifecycle-in-production/week2/C2_W2_Lab_2_Feature_Engineering_Pipeline.ipynb |
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from theano.sandbox import cuda
cuda.use('gpu0')
# %m... | dogscats-ensemble.ipynb |
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# # Convolutional Neural Networks
# This notebook will... | Other/2.FromMLP_to_CNN/cnn/CNN.ipynb |
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## Imports
## NOTE: G... | Model-Test.ipynb |
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# # Lesson 1: Hello World
# In this lesson, we will s... | notebooks/biocoding_2016_intro_python_01.ipynb |
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# ## Configuration
# _Initial steps to get... | demographics-race-by-county/scrape.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-west... | sagemaker_processing/fairness_and_explainability/fairness_and_explainability_byoc.ipynb |
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# + [markdown] colab_type="text" id="7765UFHoyGx6"
# ##### Copyright 2019 The... | site/en/r1/tutorials/estimators/boosted_trees.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | EdgeTPU_MaskDetection_Testing_(using_COCO_API).ipynb |
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# # Dask Distributed Runtime
#
... | docs/runtimes/dask-overview.ipynb |
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# # RANS from DNS
# Our goal here, in genera... | notebook.ipynb |
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1 + 1
2 + 2
# # My first IBM Watson Project
#
day... | MyPythonNotebook.ipynb |
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# # Open Addressing - Double hashing
# Given:
# - Has... | DataStructures/Primary_DataStructures/Hash_Tables/.ipynb_checkpoints/Open_Addressing_Double_Hashing-checkpoint.ipynb |
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import tensorwatch as tw
# from tensorwatch import uti... | notebooks/archive/text_sum_log.ipynb |
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# + [markdown] id="RvwFrkzSPbw7" colab_type="text"
# # PyTorch
#
# In this no... | notebooks/06_PyTorch.ipynb |
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# # Demo: PCA Eigen-Faces
#
# In thi... | pca/eigen_face.ipynb |
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# ## _*The EOH (Evolution of Hamiltonian) Algorithm*_
#... | community/aqua/general/eoh.ipynb |
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# ### Background checks
#
# This nootebook tests the s... | validation/event-sampling/checks/time_sampling_check.ipynb |
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# %matplotlib inline
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# stdlib imports... | python_plotting_introduction.ipynb |
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using Images, DataFrames, Colors, HDF5, Decis... | src/old/nb/Overlay_Nerve_Visualization.ipynb |
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stations = pd.read_excel("../input/Metadane_wer2016091... | workspace/scrapbook.ipynb |
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# + tags=["remove-input"]
from datascience... | Mathematics/Statistics/Statistics and Probability Python Notebooks/Computational and Inferential Thinking - The Foundations of Data Science (book)/Notebooks - by chapter/15. Prediction, Correlation, Least Squares/3. Method_of_Least_Squares.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | Fig2.ipynb |
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from splinter import Browser
from bs4 import Beautiful... | webscraping.ipynb |