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# # BEAST Workflow Example
#
# In this notebook we wil... | M31_Example/.ipynb_checkpoints/M31_BEAST_workflow_example-checkpoint.ipynb |
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# # GSD: Calculating ambiguous nucleotides and %G+C fo... | notebooks/GSD/GSD Calculating_ambiguous_nts_and_percentGC_for_mitochondrial_genomes_of_NCYC3594_and_NCYC3585fromWoltersETal2015.ipynb |
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import pandas as pd
import seaborn as sns
import m... | Fava Analysis.ipynb |
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# # Artificial Intelligence Nanodegree
# ## Machine Tr... | machine_translation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | tutorial_notebooks/cca_zoo_sparsity.ipynb |
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# <a href="https://colab... | interview_prep.ipynb |
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# + [markdown] id="77obbTbf-1VE"
# # CNN Classificatio... | 1_CNN/CNN_MR.ipynb |
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# + [markdown] id="6ltsHY9dFy9-"
# ## Pose Estimation ... | pose_estimation_walkthrough.ipynb |
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# # # Quiz 4 (10/10)
# Forgot to print, sorry!
#
# ![... | deepLSpec/c4/w4/quiz.ipynb |
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# # Filtering and Scipy.Signal
# Demonstration of FIR... | Week14/Lecture12b_Filters.ipynb |
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from aiida import load_dbenv, is_dbenv_loaded
from... | hrstm/view_hrstm.ipynb |
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# # HW2xHW4
#
# VECTORIZATION (Pandas style!)
# ## ST... | assets/all_html/2019_10_25_HW2_HW4.ipynb |
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from PIL import Image
import numpy as np
import p... | explainability_of_machine_learning.ipynb |
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# # Python Basics with Numpy (optional assignment)
#
#... | Deep Learning Specialization - deeplearning.ai/1- Neural Networks and Deep Learning/Python+Basics+With+Numpy+v3.ipynb |
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# # Daily Births Forecasting
# import the ... | Time series Forcasting/Daily birth forcasting/main.ipynb |
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# # Building Data Genome Project 2.0
# ## Buildings no... | notebooks/04_Normalized-consumption.ipynb |
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# # Tutorial 17: Self-Supervised Contrastive Learning ... | docs/tutorial_notebooks/tutorial17/SimCLR.ipynb |
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# # Use the Mapbox API to Create a Geospatial Visualiz... | notebooks/data_viz_with_no_desc.ipynb |
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# ## Build Hot 100 archive
#
# > There are... | notebooks/01-build-archive-hot100.ipynb |
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# A first example of machine learning
# ==
# In this n... | scikit_demo.ipynb |
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# # Regression Week 2: Multiple Regression (Interpreta... | 2- Regression/projects/week 2/week-2-multiple-regression-assignment-1-blank.ipynb |
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# # Patient Overlap and Data Leakage
#
# Patient overl... | Notebooks/Handling Patient Overlap & Data Leakage.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | test_lib.ipynb |
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from sklearn.model_selection import KFold
import panda... | auto-sklearn/Brazil-autosklearn.ipynb |
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# # Twitter Sentiment Analysis
# ![twitter2.jpg](http:... | twitter-sentiment-analysis-with-naive-bayes-85-acc.ipynb |
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# # WeatherPy
# -... | WeatherPy_junghyunson.ipynb |
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import struct, bluetooth
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# Check if our unit can... | snippets/shimmer_data/shimmer-bluetooth-gsr.ipynb |
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# %load_ext autoreload
# %autoreload 2
from common imp... | eval/update.ipynb |
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# Import the dependencies.
import pandas as pd
import ... | WeatherPy.ipynb |
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# # The RWTH-1 Borehole
# In this notebook, we take ... | 01_T-gradient_RWTH-1.ipynb |
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# # Tutoriel "Calculate_SRF.py"
#
# Auteurs: [<NAME>](... | Tutoriel Calculate_SRF .ipynb |
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# # Module 3 - Accessing Data on the Web
#... | handouts/Module 3 Notes.ipynb |
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import cv2
import numpy as np
image = cv2.imread(r'C:... | Assignments/Tanya/Task-1.ipynb |
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# ## Sample for running TensorFlow DeepFM example
#
# ... | submarine-sdk/pysubmarine/example/deepfm_example.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="... | nlp/hw_lesson_8.ipynb |
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from numpy import *
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# The purpose of these notebooks is to demonstrate and... | notebooks/INDEX.ipynb |
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# Basic Calculator II
#
# Given a string s which repre... | Exercises/17. Leetcode 227.ipynb |
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# + [markdown] slideshow={"slide_type": "skip"... | Activity-2-4-Solutions.ipynb |
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import random
import numpy as np
import matplotlib... | HW4/hw4/svm_spam.ipynb |
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my_iterable = [1,2,3]
for item_name in my_iterable:
... | python notebooks by Akshit Ostwal/.ipynb_checkpoints/Loops-checkpoint.ipynb |
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# # Incremental Bitstring Kernel Encoding
# $[(A/B/C)... | notebooks/exploratory/kernel-incremental-encoding.ipynb |
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"""
Given the following dictionary;
temps ... | convert dictionary to dataframe.ipynb |
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# # Understanding the dataset
# Undest... | demos/data_observation_demo.ipynb |
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import pandas as pd
import numpy as np
from manag... | TopicModeling/count_Dc_v3_50topics.ipynb |
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s = input().strip()
t = input().strip... | Algorithm/36. append and delete.ipynb |
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# + [markdown] id="OPxk... | Vision_Linear_Classification.ipynb |
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# # Use pyquery-ql.py
#
# Send a graphql query to GitH... | notebooks/use-pyquery-ql-Copy1.ipynb |
# ##### Copyright 2020 The OR-Tools Authors.
# 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/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | examples/notebook/sat/rabbits_and_pheasants_sat.ipynb |
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# Only needed in a Jupyter Notebook
# %matplotlib inli... | ContourMap.ipynb |
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# + id="GGMnr4rcvyiE"
import numpy as np
import pandas... | fakenewdetection (1).ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# ###... | CourseContent/11-Introduction.to.Neural.Network.and.Deep.Learning/Week1/6. Classification_MNIST_DNN_Keras.ipynb |
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displa... | notebooks/eda.ipynb |
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# + [markdown] id="9aUTR9hD9QuN"
# # 1. Apresentação: ... | M0_desafio.ipynb |
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# ## Plot gene set comparison... | 02_classify_mutations/plot_expression_gene_sets.ipynb |
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# # Tutorial "Algorithmic Methods for Network Analysis... | Doc/Notebooks/NetworKit_Tutorial_Part_3.ipynb |
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# + [markdown] id="23R0Z9RojXYW"
# # Ungraded Lab: Ite... | Course 2. Machine Learning Data Lifecycle in Production/Labs/C2_W3_Lab_2_IterativeSchema.ipynb |
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# + [markdown] id="qHiqEClOQw47"
# # GPU
# + id="OWS_... | notebook/16t-efficientnet_b3-cutmix.ipynb.ipynb |
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# # CNN Surrogate model for mapping JV curves and to m... | Week7/JV_demo.ipynb |
# ##### Copyright 2021 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/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/sat/nurses_sat.ipynb |
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# ## 9.5 多尺度目标检测
# 1. 减少锚框个数
# - 在输入图像中均匀采样一小部分像素... | dl/dive-into-dl/chapter09_computer-version/9.05_multiscale-object-detection.ipynb |
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# %load_ext autoreload
# %autoreload 2
from bagnets.u... | code/notebooks/.ipynb_checkpoints/2019-5-24_check_keras_model-checkpoint.ipynb |
// -*- coding: utf-8 -*-
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from PIL import Image
def png_to_jpg(sourc... | SIFID/.ipynb_checkpoints/image_converter-checkpoint.ipynb |
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# # Задание 2.1 - Нейронные сети
#
# В это... | assignments/assignment2/Neural Network.ipynb |
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# # Star shaped qubit
#
# We'll be creating a 2D desig... | tutorials/Appendix C Circuit examples/A. Qubits/11-Star_shaped_qubit.ipynb |
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# <a href="https://colab... | GoogleColab/MachineLearning/Machine_Learning04.ipynb |
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# ## End-to-End Scenario: Scenario Survival Analysis
#... | Python-API/pal/notebooks/e2e_senarios/Scenario-Survival-Analysis.ipynb |
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# # Simulate LSST light curves and recover.
# +
impor... | code/notebooks/injection_recovery.ipynb |
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# B... | week4/Exercise4-Question.ipynb |
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# # Hash Tables: Ice Cream Parlor
#
# <br>
#
# ![image... | Interview Preparation Kit/7. Search/Hash Tables, Ice Cream Parlor.ipynb |
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# ###### Content under Creative Commons Attribution li... | mjorisch/Orbital_Perturbations.ipynb |
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# + [markdown] editable=false hideCode=true hidePrompt... | Synkrisis.ipynb |
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# ## The sigmom fit r... | analysis_notebooks/mcmc_corr2_sigmom_corrAB_varianceEffect.ipynb |
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# + id="JuGzpxT_Z1EU" colab_type="code" cellView="form" colab={}
#@title Copy... | ml/cc/exercises/numpy_ultraquick_tutorial.ipynb |
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# # Pylazybam example useage
#
# <NAME>
#
# <small>The... | example_usage.ipynb |
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# %run preproc.ipynb
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# ## Segment Tree
#
# * A binary tree that represents ... | series-dsa/segment-tree.ipynb |
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# # Scipy minimize variational plugin
#
# In this note... | misc/notebooks/tutorials/variational_algorithms/scipy_optimize_binder.ipynb |
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# # Spotify's Worldwide Daily Song Ranking
#
# Dataset... | 20180909_spotify-song-streams-radial-stacked-bar-chart/spotify-worldwide-daily-song-ranking.ipynb |
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# -*- coding: utf-8 -*-
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# # Teleportation Kata
#
# **Telepor... | Teleportation/Teleportation.ipynb |
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# # 9.1 Reading data from SQL databases
... | Learning Unittests/pandas-cookbook-master/pandas-cookbook-master/cookbook/Chapter 9 - Loading data from SQL databases.ipynb |
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# # Creating a feature matrix from a networkx graph
#
... | Applied_Data_Science_with_Python/Applied Social Network Analysis in Python/Graph+Features.ipynb |
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# # Coupling vs Wavelength
#
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# #... | GeoparsingHikeDescriptions.ipynb |