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# # 09 Strain Gage
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# This is one of the most commonl... | Lectures/09_StrainGage.ipynb |
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#export
from fastai.basic... | nbs/43_tabular.learner.ipynb |
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# <table class="ee-notebook-buttons" align="left">
# ... | Algorithms/landsat_radiance.ipynb |
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# Copyright 2020 NVIDIA Corporation. All Rights Re... | notebooks/ssd-object-detection-demo.ipynb |
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# # Setting up
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# Dependencies
# %matplotlib inli... | jupyter/ethnicity.ipynb |
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# # Disambiguation
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import pprint
import subproces... | jupyter/2018-05-23(Disambiguation).ipynb |
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# **Run the following two cells before you begin.**
#... | Mini-Project-2/Project 4/Fitting_a_Logistic_Regression_Model.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # ProVis... | notebooks/provis.ipynb |
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# # SBTi-Finance Tool - Portfolio Aggregation
# In thi... | examples/4_portfolio_aggregations.ipynb |
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# + [markdown] colab_type="text" id="1Pi_B2cvdBiW"
# ##### Copyright 2019 The... | tf_agents/colabs/8_networks_tutorial.ipynb |
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# Python for STEM Teachers<br/>[Oregon Curriculum Netw... | Atoms in Python.ipynb |
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import tensorflowjs as tfjs
import json
# After s... | python/Conversion/Convert model.json with ZeroPadding3D to tfjs compatible json.ipynb |
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# + [markdown] id="eerkOkIpLQD2"
# Author: <NAME>, <EMAIL>; <NAME>, <EMAIL>; ... | Ch3_SpatialAggregation/Colabs/Spatial Aggregation_ linear regression.ipynb |
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# # Attribute data operations {#attr}
#
# ... | ipynb/03-attribute-operations.ipynb |
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# #lec11
with open('jmu_news.txt','r') as ... | Lec11.ipynb |
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# # Python Code Challenges!
#
#
# +
# Codewars
# http... | Python Code Challenges/.ipynb_checkpoints/Descending Order-checkpoint.ipynb |
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# # Custom Types
#
# Often, the behavior for a field n... | docs/api/custom-types.ipynb |
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import pandas as pd
import re
import folium
import os
from ... | lab1/Untitled.ipynb |
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import os
import cv2
import numpy as np
import pandas... | Text.ipynb |
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# # Part 1: Data Ingestion
#
#... | docs/feature-store/end-to-end-demo/01-ingest-datasources.ipynb |
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import numpy as np
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from operator import item... | 01-Code/2b_TextProcessing_2.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
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# ![Callysto.ca Banner](https://github.com/callysto/cu... | _build/html/_sources/curriculum-notebooks/Mathematics/Percentage/percentage.ipynb |
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impo... | 03_Interpolation_over_distance_MV.ipynb |
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# <img src="https://github.co... | PythonDataBasics_ParametricDistributions.ipynb |
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# %matplotlib inline
# %config InlineBackend.figur... | Lesson 5: Introduction to PyTorch/07 - Loading Image Data.ipynb |
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import cv2
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import shutil
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i... | vgg16.ipynb |
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# %load_ext autoreload
# %autoreload 2
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import ten... | benchmarking/test_shapley_bruteforce.ipynb |
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# Probabilistic Programming and Bayesian M... | Chapter1_Introduction/Ch1_Introduction_PyMC2.ipynb |
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import pandas as pd
import numpy as np
import re
impor... | carvan database.ipynb |
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#Author: <NAME>
#Purpose: This is a program tailo... | BiNew_RF.ipynb |
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import networkx as nx
import pickle
import numpy a... | community_detection/group_segments/subgraph_manupulation.ipynb |
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# ### This is Example 4.3. Gambler’s Problem from Sutt... | DP/Gamblers Problem Solution.ipynb |
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import example_operations as eo
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# demons... | app/test/test_example_operations.ipynb |
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# ## PyTorch Tutorial
#
# IFT6135 – Representation Lea... | pytorch/1. The Torch Tensor Library and Basic Operations.ipynb |
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from IPython.display import Image
Image("loc_name")
| Data-Science-HYD-2k19/Topic-Wise/MISC/Importing Images.ipynb |
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# + [markdown] colab_type="text" id="GPQLC8sugA9E"
# #... | Assignments/Implementing TFIDF vectorizer/Assignment_3_Reference.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <im... | notebooks/hsip442/hsip442_algorithms_lecture-Copy1.ipynb |
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from datascience import *
import numpy as np
# %m... | Data8.1x/lec07.ipynb |
# # 7.3. Getting started with Bayesian methods
import numpy as np
import scipy.stats as st
import matplotlib.pyplot as plt
# %matplotlib inline
def posterior(n, h, q):
return (n + 1) * st.binom(n, q).pmf(h)
n = 100
h = 61
q = np.linspace(0., 1., 1000)
d = posterior(n, h, q)
# + podoc={"output_text": "Posterior... | chapter07_stats/03_bayesian.ipynb |
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# # Deep Q-Network implementation.
#
# This homework shamelessly demands you to implement a DQN - an approximate q-learning algorithm with exp... | week04_approx_rl/homework_pytorch_debug.ipynb |
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# # Monthly Active User Depth of Engagement... | MAU-CDF/MAU Depth of Engagement.ipynb |
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# ![Callysto.ca Banner](https://github.com/callysto/cu... | _sources/curriculum-notebooks/Science/ProjectileMotion/projectile-motion.ipynb |
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# !pip install --user xlrd
# +... | clients/Mizuho/Reporting/src/main/resources/Load_BBH_Cash_Table.ipynb |
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# + [markdown] id="ABvnJMmltKyV" colab_type="text"
# #Regression With Fastai
... | A_HANDS-ON_GUIDE_TO_REGRESSION_WITH_FASTAI.ipynb |
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# load and summarize the dataset
from sklearn.datasets... | Select Features for Numerical Output.ipynb |
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# Dated: 30-3-18
#
# CNN Tutorial with adam and using ... | CNN_MNIST-Part-1.ipynb |
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# # Underactuated cartpole control with iLQR, MPPI
# T... | examples/cartpole/cartpole.ipynb |
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import pandas as pd, numpy as np
import matplotlib.pyp... | nepi/archive/1a_parser_high_res_climate_data.ipynb |
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include("lin_int2.jl")
println(readstring(`cmd /c... | A Simple Optimal Growth Model Interpolation2.ipynb |
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import tensorflow as tf
import numpy as np
imp... | HandsOnML/ch09/Play with cross entropy.ipynb |
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# + [markdown] id="R3En9MVqilRY"
# # Train on multiple GPUs
#
# In this noteb... | guide/train_on_multiple_gpus.ipynb |
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num_friends = [... | scratch/chapter5.ipynb |
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import json
import pickle
from indra.literature.a... | notebooks/PBT_model.ipynb |
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import numpy as np
import pandas as pd
import matp... | Course2 - Applied Plotting, Charting & Data Representation in Python/week3/.ipynb_checkpoints/Assignment 3 - Building a Custom Visualization-checkpoint.ipynb |
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# # Simple KubeFlow Pipeline
#
# Lightweight python co... | kubeflow/notebooks/08_Simple_KubeFlow_ML_Pipeline.ipynb |
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# # Hospital Readmissions Data Analysis and Recommenda... | Statistics_Exercises/sliderule_dsi_inferential_statistics_exercise_3.ipynb |
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library(Seurat)
library(ggplot2)
library(Matrix)
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# title: "Feedforward Neural Networks For Regression"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "How to train a feed-forward neural network for regression in Python."
# type: technical_note
# draft: false
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# # Indexes
#
# Today we're going to be talking about ... | modern_3_indexes.ipynb |
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# # PyVIMS package playground
#
# This jupyter noteboo... | notebooks/playground.ipynb |
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bres_trend_micro,bres_trend_agg = [make_trend(bres_proc,sector_var=v) for v in ['sector','sector_aggregated']]
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fig,ax = plt.subplots()
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# + [markdown] pycharm={}
# # Classification with Deli... | notebooks/classification_examples/sklearn.ipynb |
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# make high resolution animation from svg
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# # Creating a Filter, Edge Detection
# ### Import re... | convolutional-neural-networks/conv-visualization/custom_filters.ipynb |
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def shuffle(nums, n):
res = []
for i in ra... | Anjani/Leetcode/Array/Shuffle the Array.ipynb |
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import requests
from bs4 import BeautifulSoup
impo... | Data Warehouse/Amazon Australia/.ipynb_checkpoints/Amazon_AU - Wellness - Massage oil --s-checkpoint.ipynb |
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import plotly
print(plotly.__version__) # version >1.... | APIS/algo/Untitled1.ipynb |
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# ### Name: <NAME>
# ### Email: <EMAIL>
# ### Importi... | Statistical Analysis on Customer Data.ipynb |
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# miniconda3/ openai
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# # Tutorial: optimal binning with binary target - lar... | doc/source/tutorials/tutorial_binary_large_scale.ipynb |
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# # Chapter 2: Multi-armed Bandits Solutions
# ## 1. ... | chap2-solutions.ipynb |
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# + [markdown] id="ElXOa7R7g37i" colab_type="text"
# # Tutorial Part 5: Putti... | examples/tutorials/05_Putting_Multitask_Learning_to_Work.ipynb |
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# # Assignment 5
# - toc: true
# - badges: true
# - co... | _notebooks/2021-11-13-Assignment5-Yili Lin.ipynb |
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import numpy as np
import pandas as pd
import matp... | 2020 Осенний семестр/Практическое задание 5/Маргарян - практика 5.ipynb |
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# # Building Simple Neural Networks
#
# In this sectio... | 01-intro-to-deep-learning/02-building-simple-neural-networks.ipynb |
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from utils import *
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# # Creating datetimes by hand
# Often you create date... | working-with-dates-and-times-in-python/2. Combining Dates and Times/notebook_section_2.ipynb |
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#Here we will Improve model performance
# # Importin... | 7 Model Selection Boosting/Model Selection/ Grid Search .ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# <img src="images/MCG.png" style="width: 100px">
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... | Gaussian Bayesian Networks (GBNs).ipynb |
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# ## Accuracy as a function taxon evenness & % atom 13... | ipynb/bac_genome/n1210/.ipynb_checkpoints/atomIncorp_evenness_abund-checkpoint.ipynb |
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import requests
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imp... | boris_stations.ipynb |
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# %load_ext autoreload
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from __fut... | notebooks/Simple Data Generator.ipynb |
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# + [markdown] colab_type="text" id="Tce3stUlHN0L"
# ##### Copyright 2019 The... | site/en/r1/tutorials/distribute/keras.ipynb |
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# # Time series exploration
#
# Exploring the extent t... | notebooks/Time series.ipynb |
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import keras
keras.__version__
# # 5.1 - Intr... | Keras/deep-learning-Keras/.ipynb_checkpoints/5.1-introduction-to-convnets-checkpoint.ipynb |
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# ## Creating an AzureML Environme... | notebooks/00 - Environment.ipynb |
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# + id="bJ1ROiQxJ-vY"
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# # FishboneMoncriefID: An Einstein Toolkit Initial Da... | Tutorial-ETK_thorn-FishboneMoncriefID.ipynb |
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# # Noteb... | main.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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import torch
import math
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# # Decoupling Logic and Execution
#
# In the last sec... | tutorials/beginner/decoupling_logic_and_execution.ipynb |
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# # Linear Models for Classification
# # Exercise
# L... | notebooks/04 - Linear Models for Classification.ipynb |
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# # Programming Exercise 4: Neural Networks Learning
... | jupyter-notebooks/ml-coursera-python-assignments/Exercise4/exercise4.ipynb |
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# <center>
# <img src="../../img/ods_stickers.jpg">
# ... | jupyter_russian/topic07_unsupervised/topic7_bonus_PCA_toy_example.ipynb |