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# # Scaling Examples
#
# ## Prerequisites
#
# * A kub... | notebooks/scale.ipynb |
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# + [markdown] nt... | AzSearch.ipynb |
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# # Autoeconders with tensorflow
# In this Tutorial w... | Autoencoders.ipynb |
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# [<NAME>](https://orcid.org/0000-0001-7225-9992),
# Profes... | dft/dft_complex_signal_0C30EB5E76.ipynb |
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# # DeepVision: Exploiting computer vision techniques ... | DeepVision.ipynb |
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# #!pip install FDB
import fdb
import os.path
def pat... | notebook/Gerar_Arquivos_csv_from_Firebird.ipynb |
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# # Repaso Pandas LaLiga
#
# ## Ejercicio 1
#
# 1. Lee... | Repaso/Pandas/Repaso_Pandas_LaLiga.ipynb |
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import psycopg2
import pandas as pd
import numpy... | Modeling_Final.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/W3D1_BayesianDecisions/student/W3D1_Tutorial3.ipynb |
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# + [markdown] tags=[]
# # **Tutorial 08: ... | ipynb/T08-02-Practical-Examples-OOP-Part-2.ipynb |
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import spotipy
from spotipy.oauth2 import SpotifyClientCredentials... | 00_get_data.ipynb |
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# + init_cell=false run_control={"marked": false}
# En... | ipynb/deprecated/tutorial/UseCaseExamples_SchedTuneAnalysis.ipynb |
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# + pycharm={"name": "#%%\n"}
import numpy as np
# cla... | .ipynb_checkpoints/basic_decision_tree-checkpoint.ipynb |
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import pandas as pd
import numpy as np
import nupic
im... | Traffic/Traffic2.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <di... | respy-showcase-slides.ipynb |
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import numpy as np
import pandas as pd
data = pd.read... | notebook/evaluationAndValidation.ipynb |
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import nltk
# # Sentence Tokenization
#
# Process of ... | nltk.ipynb |
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# Can remove once logomaker is installe... | venv/lib/python3.9/site-packages/logomaker/examples/examples.ipynb |
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# # !wget https://raw.githubusercontent.com/Tensor... | test/test-hifigan.ipynb |
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# # Part II: Writing Expl... | tutorial/Tutorial2_WriteExplanations.ipynb |
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# ## Studying the role of superspreading events in a s... | examples/contactMatrix/ex11-superSpreader.ipynb |
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# # Tutorial on Active Inference with `... | examples/gridworld_tutorial_1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Intro_to_Tensorflow.ipynb |
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# # Coal production in mines 2013
#
# by: <NAME>
#
# A... | deliver/Coal_prediction.ipynb |
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# ## Everest
import os
import numpy as np
impo... | doc/nb/everest.ipynb |
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import numpy as np
from tqdm impor... | scoring_test.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | IAM_recommender_demo_for_Google_Cloud_Storage_buckets.ipynb |
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import speech_recognition as speech
speech.__version__... | recog_cloudapi.ipynb |
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# 1st trail: EEG_Biometrics_with_CNN-and-Ridge-Regression... | EEG_Biometrics_with_CNN-and-Ridge-Regression-regularisation.ipynb |
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# # Implementation of Quickselect algor... | algorithms/sorting_and_selection/quickselect.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | analysis/Batting-Bowling-Combined.ipynb |
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# # Popularity Analysis of Free-to-Play App Categories... | App Category Analysis.ipynb |
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# # Mining meta information about Wikipedia so we can ... | words/Mining meta information about Wikipedia.ipynb |
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import numpy as np
from pandas import DataFrame, Serie... | Pandas/4-Descriptive-finished.ipynb |
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# # Linear 2D solution
# ## Init symbols for *sympy*
... | py/notebooks/LinearSol2DFEM.ipynb |
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# # Clustering algorithms
# check scikit-... | Clustering.ipynb |
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# # Data preparation
# ## ... | experiment-2/1_Data_prep/prepare_data.ipynb |
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# # Data Scraping
# Importing Libraries
import pandas as... | Data_Scraping.ipynb |
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# # Part A
# A lot of the graph/vertex class was take... | partAWorkingSubmission.ipynb |
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# # Gesture Recognition
#
# ### Machine Learning
#
# ... | notebooks/project/4.Recognizing Gestures.ipynb |
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# ## Regression
#
# In this lecture, I will bring toget... | Section-13-Putting-it-altogether/13.02-Regression-house-prices.ipynb |
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# # Initializing a model
# Example showing how to ini... | examples/notebooks/initialize-model-with-solution.ipynb |
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# +
import os
import torch
from torch import nn, opti... | Code/CancerML/mlps_drug_exp/.ipynb_checkpoints/steven_train-checkpoint.ipynb |
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from matplotlib import pyplot as plt
import numpy as n... | Courses/sentdex/Data Visualization with Matplotlib/Data Visualization codes.ipynb |
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# # Housing Price Prediction Project
# <NAME> <<EMAIL>... | handsOn/ch2/Housing.ipynb |
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# # Case 2. Diabetic Retinopathy Analysis
# <NAME><br>... | Case 2 version 3.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Neural_network_layers.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="... | Scripts/TrainingScripts/CS_Dv3p_mobilenetV2_alpha1.0_bs4_training_customDataGenerator.ipynb |
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import os
from glob import glob
import earthpy.plot as... | APIs/SentinelSat/kea-to-jp2-converrsion.ipynb |
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# ## Diagnostics for multi-plane with the pupil functi... | storm_analysis/diagnostics/jpy_notebooks/mp_pfn.ipynb |
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# # 10.7 文本情感分类：使用循环神经网络
# +... | code/chapter10_natural-language-processing/10.7_sentiment-analysis-rnn.ipynb |
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##################################################... | Deep Learning Models/FF Models/.ipynb_checkpoints/FF_Models-checkpoint.ipynb |
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#
# ## 回归
#
# 根据因变量的不同，分成几种回归：
# * 连续：多重线性... | ml-with-numpy/LogisticRegression/LogisticRegression.ipynb |
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# + [markdown] heading_collapsed=tr... | fastai_shirts_example.ipynb |
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# # Lecture 5: String, List & 2D Lists
a = "<NAME>"... | 5. Strings, List & 2D lists/main.ipynb |
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# ## Hitchhiker's Guide to Hyperspace - An Indexing Subsystem for Apache Spark™
# Hyperspace introduces the ability for Apache Spark™ users to... | notebooks/python/Hitchhikers Guide to Hyperspace.ipynb |
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# ## Analítica Predictiva 2018-1 - Trabajo Final
#
#... | ML_Final_Exercise.ipynb |
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# # Bitfinex API Data Pull
# +... | quantitativefinance/Bitfinex API Data Pull.ipynb |
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import matplotlib.pyplot as plt... | 02_body/chapter3/images/simulation_confined_Brownian_motion/maximal_tau.ipynb |
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# # Mean and median
#
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import panda... | Introduction_to_statistics/Summary Statistics.ipynb |
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# # Name
# Data preparation by using a template to sub... | components/gcp/dataflow/launch_template/sample.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | .ipynb_checkpoints/Multinomial_Logistic_Regression_FOR Q3-checkpoint.ipynb |
# # Linear regression without scikit-learn
#
# In this notebook, we introduce linear regression. Before presenting the
# available scikit-learn classes, we will provide some insights with a simple
# example. We will use a dataset that contains information about penguins.
# <div class="admonition note alert alert-info"... | notebooks/linear_regression_without_sklearn.ipynb |
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# Este trabajo se propone analizar los arcos emocional... | _drafts/Untitled.ipynb |
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# ## Detecting near duplicate keywords using dedupe
#
... | notebooks/09-keyword-dedupe.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | 11Oct/F-elNet.ipynb |
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from fastcore.utils import *
from fastcore.foundat... | examples/_create_examples.ipynb |
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# ## Tool for simulating 1D Conservative Transport (La... | _build/html/_sources/contents/tools/1D_advection_dispersion.ipynb |
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from __future__ import print_fu... | Our_code/Keras(not working)/.ipynb_checkpoints/new_architecture-checkpoint.ipynb |
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# + [markdown] id="0539Pwt1Ygwz" colab_type="text"
# # Project objective
# In... | code/project16_neuralnet_tissuetype_ccle.ipynb |
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# # Basic Tensors
# In this ungraded lab, you will tr... | Custom and Distributed Training with TensorFlow/Week1/C2_W1_Lab_1_basic-tensors.ipynb |
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# + [markdown] id="l8Syssvjisg-"
# ### LOAD DIVERSITY ... | notebooks/model/nearest_neighbor/nn_updated.ipynb |
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# <a href="https://colab... | Language_Models_and_Ecco_PyData_Khobar.ipynb |
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# # Occlusion Analysis
#
# Measures the importance of ... | notebooks/occlusion_analysis.ipynb |
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# This notebook revisits some of the literary historic... | 10-Metadata/03-Bonus-Moretti/03-Metadata.ipynb |
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from qiskit import *
import re
import ... | modules/QISKit HODL module.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# <a href="https://colab... | module-4-select-important-features/LS_DS_24_Cross_Validation_AND_Feature_Selection.ipynb |
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# # Using RNA read counts
# ### Using EUKelele to assi... | docs/source/EUKulele_read_breakdown.ipynb |
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# # Desafio 5
#
# Neste desafio, vamos praticar sobre ... | main.ipynb |
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# ### Question1.
#
# Create a function that takes thre... | Programming_Assingment17.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | YouTube-Exaggerated-Bangla-Titles-Categorization(8 ML Models).ipynb |
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# + id="Hfc4NkrL44xu"
import time
notebook_start = time.time()
# + [markdow... | cifar10/colab/cifar10.ipynb |
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# default_exp data.preprocessing
# -
# # Data pre... | nbs/003_data.preprocessing.ipynb |
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# ## 5. Preparación de Datos
#
# [Playlist de Ciencia ... | 05. Preparar_data.ipynb |
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# ### Materials Project Workshop – July 31–August 2 20... | lessons/pymatgen/2 - Advanced Pymatgen - fill in the blanks.ipynb |
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# # Lesson - Machine Learning IV: Hyperparameters Opti... | Lesson-ML IV-Hyperparameter Optimization.ipynb |
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# # SQuAD Exploratory Data Analysis
# +
import numpy ... | exploratory_visualization.ipynb |
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# name: python392jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b7... | labs/05_Large n/05_Large_n_solutions_jon.ipynb |
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# + id="ur8xi4C7S06n"
# Copyright 2022 Google LLC
#
# ... | notebooks/community/ml_ops/stage6/get_started_with_tf_serving_function.ipynb |
# # Nested cross-validation
#
# Cross-validation can be used both for hyperparameter tuning and for
# estimating the generalization performance of a model. However, using
# it for both purposes at the same time is problematic, as the resulting
# evaluation can underestimate some overfitting that results from
# the hype... | notebooks/cross_validation_nested.ipynb |
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# In this notebook, we can see the different multiproc... | demos/00_notebook vs script.ipynb |
# # All results on Synthetic datasets - Prob. images
# Presenting results all state-of-the-art methods togehter with our APDL method
# %matplotlib inline
# %load_ext autoreload
# %autoreload 2
import os, sys, glob
import pandas, numpy
from skimage import io
import matplotlib.pylab as plt
from matplotlib import gridsp... | notebooks/results_synth_prob_all.ipynb |
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# # Chapter 1
# *Astronomical Data in Python* is an i... | _build/jupyter_execute/01_query.ipynb |
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# Denoising fMRI data using aCompCor and functional co... | LearningBrain_aCompCor_denoising_and_static_FC_estimation.ipynb |
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# # Word Embedding tutorial
# #... | tutorial/tutorial04a_word_embeddings.ipynb |
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# 转换音频格式从MP3到wav
import ffmpeg
import pydub
sourc... | XunfeiAPITest.ipynb |
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# # LeetCode #763. Partition Labels
#
# ## Question
# ... | LeetCode/LeetCode_921MinimumAddToMakeParenthesesValid.ipynb |
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# !wget https://raw.githubusercontent.com/yandexdataschool/Practical_RL/0ccb0673965dd650d... | week08_pomdp/practice_pytorch.ipynb |