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import math
import os
import sys
import cv2
import... | notebooks/filter_predictions.ipynb |
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# # DS108 Databases : Lesson Three Compani... | Data Science and Machine Learning/Machine-Learning-In-Python-THOROUGH/RECAP_DS/07_DATABASES/SQL/L03.ipynb |
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# # An Interactive Briefing Note(book)
# Lab 7 is an ... | Lab7/Jordan Stamatinos.ipynb |
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import fastai
from fastai.vision.all import *
from fa... | VehicleTypeModel.ipynb |
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# + active=""
# A notebook to make an animation of the... | Nancy/animations/Surface salininty animation.ipynb |
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# # Generate CSVs from COVID-19 WHO data
# ## Depende... | covid-19-get-data/notebooks/who.ipynb |
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import numpy as np
import pandas as pd
... | wrangling/data_prep_1000.ipynb |
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# # Simple dynamic seq2seq with TensorFlow
# ... | 1-seq2seq.ipynb |
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# + id="M2pDjB7sQ4sC" colab_type="code" colab={}
import math
import random
r... | my_model.ipynb |
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# # Eland Demo Notebook
# + pycharm={"is_executing": ... | eland/tests/tests_notebook/test_demo_notebook.ipynb |
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# # 01 - Data Analysis and Preparation
#
# This notebo... | 01-dataset-management.ipynb |
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import geopandas as gpd
import pandas as p... | states.ipynb |
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import wget, json, os
from string import capwords
from... | mpcontribs-portal/notebooks/ml.materialsproject.cloud/get_started.ipynb |
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# Lesson from Intro... | code/Topic-Model-with-MALLET.ipynb |
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# # Data Scientist Nanodegree
# ## Supervised Learning... | finding_donors.ipynb |
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# + [markdown] button=false new_sheet=false ... | Data_Science_Specialization_IBM/Introduction_to_Data_Science_Specialization_IBM/Data_Science_Methodology/week1_from_problem_to_approach/DS0103EN-2-2-1-From-Requirements-to-Collection-v2.0.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | proje_03.ipynb |
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# + [markdown] id="i5UVTehIrJw... | Houses_Sales/houses_sales.ipynb |
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# + pycharm={"is_executing": true}
import unittest
imp... | Chapter12/Exercise12.06/Test_Exercise_12_6.ipynb |
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# We'll dig in to the following topics:
# * Bias-Var... | Lectures/Levon/ModelTuning_Validation&Cross-Validation/main.ipynb |
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# ## Data Generation
# ### created by <NAME>, 04/30/2... | scripts/multiscale_HiTS_exp/.ipynb_checkpoints/data_generation-checkpoint.ipynb |
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# # Simulation of data relating to weather at Dublin A... | Weather data simulation.ipynb |
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from keras.datasets import imdb
import pandas as pd
im... | models.ipynb |
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# + id="f0b15ab723e1"
msg = None
a: float = 2.25 # Variable a
b = [
'Hell... | papermill/tests/notebooks/complex_parameters.ipynb |
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import pandas as pd
import numpy as np
import matp... | 5.3_seaborn.ipynb |
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# # ASLingo Model Training
#
# This notebook trains th... | train_model.ipynb |
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# + [markdown] id="AOpGoE2T-YXS" colab_type="text"
# ##### Copyright 2018 The... | tensorflow/contrib/eager/python/examples/nmt_with_attention/nmt_with_attention.ipynb |
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path = r"E:\wenpeiyu\PythonProject\LogAnalysis\rawdata... | LogAnalysis/LogFlow.ipynb |
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# + active=""
# 我们给出了 N 种不同类型的贴纸。每个贴纸上都有一个小写的英文单词。... | Dynamic Programming/1123/691. Stickers to Spell Word.ipynb |
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# # Energy A.I. Hackathon 2021 - Project Template
#
#... | Hackathon_ProjectTemplate.ipynb |
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# <a href="https:... | examples/notebooks/cartoee_projections.ipynb |
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import pandas as pd
import seaborn as sns
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# + [markdown] id="velwGW5PN9ek"
# # Imput... | Metdat-science/Pertemuan 8/Imputasi.ipynb |
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# # Plotting time series using pyacs.gts.lib.plot
# ##... | pyacs_docs/pyacs/downloads/905b7583964989788fea61aed0d6df13/plotting_time_series.ipynb |
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# # Neural networks with PyTorch
#
# Deep learn... | intro-to-pytorch/Part 2 - Neural Networks in PyTorch (Exercises).ipynb |
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# # Name
# Data preparation using Apache Pig on YARN w... | components/gcp/dataproc/submit_pig_job/sample.ipynb |
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import mlflow
import mlf... | mlflow_test.ipynb |
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# ## Read data with a time index
#
# Pandas DataFrame ... | introduction_to_data_visualization_with_matplotlib/2_plotting_time_series.ipynb |
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from my_commonfunctions import *
def draw_hough_line... | Junk/Yamani/Remove Staff Lines.ipynb |
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# ### Outlier Detection with `bqplot`
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# In this... | examples/Applications/Outlier Detection.ipynb |
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# %load_ext autorel... | notebooks/sample_submit_dsm2_linux_hydro_version.ipynb |
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# ## Facial Filters
#
# Using your trained facial keypoint ... | 4. Fun with Keypoints.ipynb |
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# pandas(python data analysis library)是基于NumPy 的一种工具，该... | dev/openlibs/pandas/pandas_intro.ipynb |
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import functools
# 9 Answers total
example_answers... | answers2risk.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | FaceGAN_V1_0.ipynb |
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# + [markdown] id="0wPixjHS38aO"
# # **Beginner's Pyth... | session-two/subject_questions/PhysEng_two_answers.ipynb |
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# # Introduction to Data Science
# --... | intro/intro-module-final.ipynb |
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# ## Continuous Futures
# Continuous Futures are an a... | Notebooks/quantopian_research_public/notebooks/tutorials/4_futures_getting_started_lesson4/notebook.ipynb |
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import torch
import torch.nn as nn
import numpy as np
... | _useless/notebooks/Backprop.ipynb |
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# # Seismic Data Analysis
# ### What is Seismic Haza... | Seismic Data Analysis Notebook.ipynb |
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# ## Reproduce In-situ Sequencing results with Starfis... | notebooks/ISS_Pipeline_-_Breast_-_1_FOV.ipynb |
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# + [markdown] iooxa={"id": {"block": "ljl07JNYSrIXE70... | notebooks/.ipynb_checkpoints/Tutorial_pyhton_transform21_UtahForge_58-32_well-checkpoint.ipynb |
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from fastquant import get_stock_data
from gaussian_hm... | trading/email_playground.ipynb |
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import os
os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID"... | notebooks/test/test_multitaskdomain.ipynb |
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# # Project 2: Digit Recognition
#
# ## Statistical Ma... | COMP90051 Statistical Machine Learning/project-2.ipynb |
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import pandas as pd
data=pd.read_csv("data/database.c... | v1/GrapesCloropleth/Generate_All_Grapes.ipynb |
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import panel as pn
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import holov... | examples/reference/templates/React.ipynb |
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# # Convolutional Neural Networks: Application
#
# Wel... | Convolutional Neural Networks/Week 1/Convolution+model+-+Application+-+v1.ipynb |
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import os
os.chdir('/Users/Olivier/anaconda3/... | Notebooks/Dev/DEV_Timbre.ipynb |
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#
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# %matplotlib inline
from ast import literal_ev... | gaussian_filter/feature_15_gdf.ipynb |
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# https://github.com/sdasadia/Oil-Price-Prediction/blo... | ARIMA_pred/6_ARIMA_10VNQ.ipynb |
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# ## Importing the libraries
# +
from __future__ impo... | HW3/Question4/q4.ipynb |
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import numpy as np
from scipy.stats import norm
# ###... | Solutions/Chapter3/3.6. Confidence interval.ipynb |
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# # RQ 1 (Frequency)
#
# > How often does unsafe code ... | reports/RQ1.ipynb |
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# # Непараметрические криетрии
# Критерий | Одновыб... | statistics/Одновыборочные непараметрические критерии stat.non_parametric_tests_1sample.ipynb |
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# # The Multivariate Gaussian distribution
#
#... | MultivariateGaussian.ipynb |
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# ## Floats - Internal Representation
# The ``float``... | python-tuts/0-beginner/3-Numeric-Types/05 - Floats - Internal Representation.ipynb |
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# Analysis of data from fault-scarp model runs.
#
# St... | ModelInputsAndRunScripts/DataAnalysis/analysis_of_grain_hill_data.ipynb |
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# !pip install pymongo
# !pip install pymo... | lab9.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | 01-Lesson-Plans/21-Deep-Learning/2/Activities/07-Stu_DetectingDiabetes/Solved/DetectingDiabetes.ipynb |
# # Beyond linear separation in classification
#
# As we saw in the regression section, the linear classification model
# expects the data to be linearly separable. When this assumption does not
# hold, the model is not expressive enough to properly fit the data.
# Therefore, we need to apply the same tricks as in regr... | notebooks/logistic_regression_non_linear.ipynb |
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# # Read data on regolith cover and thickness extracte... | DataAnalysis/analyze_and_plot_regolith_cover.ipynb |
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# # Visualization of Edition Differences
#
# ![screens... | visualize_editions.ipynb |
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# # Computational Astrophysics
# ## 01. Fundamentals o... | 01._Fundamentals/presentation/Fundamentals01.ipynb |
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import feats
import constants
import transactions
... | lstm/LSTM Symbol order & interval.ipynb |
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# # Overfitting II
#
# Last time, we saw a theoretical... | content/ML/ML_5.ipynb |
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# <table>
# <tr>
# <th><img src="img/rqc.p... | main_karazeev.ipynb |
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# # A Simple Autoencoder
#
# We'll start off by buildi... | part-3/autoencoder/linear-autoencoder/Simple_Autoencoder_Exercise.ipynb |
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# +
import pandas as pd
imp... | resnet_keras/Residual_Network_Keras.ipynb |
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# # Classification Metrics Example
#... | iguanas/metrics/examples/classification_example.ipynb |
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# + [markdown] tags=["remove_cell"]
# # The Atoms of C... | content/ch-states/atoms-computation.ipynb |
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# + id="hTDiNfQkNGs9"
# + [markdown] id="LdMtX0E3NU-V"
# Apple Stock
# Intr... | Apple_Stock.ipynb |
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# ## 稀疏性和L1正则化
# 学习目标：
# - 计算模型大小
# - 通过L1正则化增加稀疏性，减小模... | code/l1_regularization.ipynb |
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# + [markdown] deletable=false editable=false nbgrader... | SIADS_505/assignment1/assignment1.ipynb |
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import uproot3
import uproot
import numpy as np
im... | HW5/HW5_files/HW5.ipynb |
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# + [markdown] id="ffuHOST6CsLm"
# # Generating names with recurr... | Informatics/Deep Learning/1. Intro to DL - HSE/Week_05/week05_generating_names_with_rnn.ipynb |
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# # Roboschool simulations of physical robo... | reinforcement_learning/rl_roboschool_ray/rl_roboschool_ray.ipynb |
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# ## Additional training functions
# [`train`](/train... | docs_src/train.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
# ## Deep L... | Traffic_Sign_Classifier.ipynb |
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# # Part I. ETL Pipeline ... | data_engineering_nanodegree/project_1b_data_modeling_cassandra/Project_1B_ Project_Template.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 12_Highly_Divisible_Triangle_Numbers.ipynb |
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# # 深度循环神经网络
#
# :label:`sec_deep_rnn`
#
# 到目前为止，我们只讨论了具有一个单向隐藏层的循环神经网络。
# 其中，隐变量和观测值与具体的函数形式的交互方式是相当随意的。
# 只要交互类型... | d2l/mxnet/chapter_recurrent-modern/deep-rnn.ipynb |
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import cv2
import numpy as np
# ### Create our body c... | 15_Car_Detection.ipynb |
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# Convert the [MIS faculty directory](https://www.terr... | 02-workout-solution_markdown_language.ipynb |
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# # Amazon SageMaker Object Detection u... | introduction_to_amazon_algorithms/object_detection_pascalvoc_coco/object_detection_image_json_format.ipynb |
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import matplotlib.pyplot as plt
imp... | jupyter/NearestNeighborsNoiseAnimation.ipynb |