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# https://discourse.pymc.io/t/mixture-model-with-boxco... | PyMC3QnA/Box-Cox transformation.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | chapter_08/basic-optimization-practices.ipynb |
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# + [markdown] deletable=true editable=true
# ... | pytand/r06.ipynb |
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bankdataCSV = os.path.join("..", "data", "budget_data.... | notebooks/pyBank.ipynb |
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# + [markdown] id="CrFyHS6Qv0bM" colab_type="text"
# # **Basics**
# + id="Qp... | NumPy.ipynb |
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# ### Sorting Sequences
# Just like with the concaten... | Sequences/code/Sorting Sequences.ipynb |
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# # The CAMEOS algorithm
# The CAMEOS algorithm consi... | guide.ipynb |
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# ## Use BioKEEN Programmatically to Train and Evalaut... | notebooks/Case Scenario HSDN.ipynb |
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# + [markdown] id="0asdcdunj2Tx"
# # ORF recognition b... | Notebooks/ORF_CNN_117.ipynb |
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# # Reproducibility
import torch
my_seed=19951008
to... | notebooks/02.2-Gender recognition-Train_test-xvec.ipynb |
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from matplotlib import pyplot as plt
import pandas... | clustering_ex_01.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="gf4IcCFont41" outputId=... | NLP_POS_Tagging_.ipynb |
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# + [markdown] heading_collapsed=true
# # King Count H... | notebooks/kc_houses_2.0-Data_Filtering.ipynb |
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# ## Stratified sampling
#
# In large data... | source/examples/cookbook/sampling_stratified.ipynb |
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# +
using PyCall
using PyPlot
PyPlot.svg(true)
# ... | AdvectionFiniteDiff.ipynb |
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# %load_ext autoreload
# %autoreload 2
import numpy a... | fig_convergence.ipynb |
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# name: pythonjvsc74a57bd0bd7733ef04046362eed5a1629bdd13cafa362ef6098c661252... | 2021_legrest/legrest_recom.ipynb |
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# + [markdown] id="2HvVWMb3hRKX"
# # Fire and Smoke Detection using DCNN
#
#... | Fire_And_Smoke_Detection.ipynb |
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# + [markdown] id="nYHb1ZgWsRii"
# # Pruning with our ... | How_to_use_the_Framework.ipynb |
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# # Deep Leakage from Gradients
# This no... | examples/Deep Leakage from Gradients - Optimization-based Attack - ConvNet CIFAR-10.ipynb |
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# # maysics.__init__模块使用说明
#
# __init__模块包含五个函数
#
# |名... | maysics教程/__init__说明.ipynb |
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f = new EasyForm("Form and Run")
f.addTe... | demoFiles/EasyFormDemos.ipynb |
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# ## Using FAST.AI for Medical NLP - Step 1 Build a la... | sourcecode/mimic_nlp_lm.ipynb |
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import sys
sys.path.insert(0, '..')
from datetime impo... | notebooks/sgs get series with period index.ipynb |
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import numpy as np
import torch
import torchvision... | keras_single_hidden_layer/keras-single-hidden-layer-architecure.ipynb |
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# Load essential libraries
import csv
import numpy... | Jupyter_notebook/ISER2021/Path 3/20200715-Sunapee-path3.ipynb |
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# # Fast generation of healthy and unhealthy assessmen... | notebooks/weekly_assessment_summary_fast.ipynb |
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# + id="W8QuvjRYElkS" colab_type="code" colab={}
# %ma... | nbs/dl1/lesson5-sgd-mnist.ipynb |
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# # Player Analysis
# +
import numpy as np
import pan... | KKR VS MI/Player Analysis KKR VS MI.ipynb |
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# name: python391jvsc74a57bd076e70d4f24e964d17f53abe91c9fa765a5a058d8698ed877a6a2... | Experiments/experiment_level.ipynb |
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# + pycharm={"name": "#%%\n"}
'''
This s... | current_code/control_ISC_analyses.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | Model Training Jupyter Notebook/brain-tumor-another-dataset-training-4(1).ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | [03 - Results]/dos results ver 4/models/iter-2/fft_r4-i2.ipynb |
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# ## UPOS
# +
from corpuscula.corpus_utils import dow... | examples/mordl.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | applications/classification/ner_tagging/NER tagging with Spacy.ipynb |
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import numpy as np
import pandas as pd
import h2o
# S... | Week 2 - Artificial Data Sets.ipynb |
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import cirq
from cirq.c... | xeb/xeb-theory.ipynb |
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import pandas as pd
import numpy as np
import matp... | DoesAgeMatter.ipynb |
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# # Using TensorFlow Scripts ... | sagemaker-python-sdk/tensorflow_script_mode_quickstart/tensorflow_script_mode_quickstart.ipynb |
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# +
#
# +
#
# +
#https://stackoverflow.c... | BS4 Source codes/yahoo-finance/yahoo-gainers/Yahoo-finance-excel-into-json-format.ipynb |
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# Nama : <NAME>
#
# NIM : 18.11.2110
# ... | Modul11_2110.ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | Predictions.ipynb |
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# + id="QZhIwy1isa1F" colab_type="code" colab={}
# !pip install hypothesize
... | examples/ydbt.ipynb |
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# # ... | 01-Fundamentos-Programacao-DS/Scripts/Mod-01/aula_01/exercicios.ipynb |
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import os
import sagemaker
from sagemaker.t... | week2/day3/sagemaker-tensorflow2/Classification-Serve/TensorflowServing.ipynb |
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import os
GPU_id = 3
os.environ['CUDA_VISIBLE_DEVICES'... | examples/gpu_benchmark.ipynb |
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# ## Determinado la eficiencia del código
# +
import ... | big_data_esencial.ipynb |
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# # Abalone age... | sagemaker-python-sdk/tensorflow_abalone_age_predictor_using_layers/tensorflow_abalone_age_predictor_using_layers.ipynb |
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# + [markdown] id="TVz5Idb0YkFh" colab_type="text"
# The purpose of this note... | research_notebooks/4.1) Style Transfer Autoencoder (naive fast algorythm).ipynb |
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# <img src="images/usm.jpg" width="480" height="240" a... | labs/05_visualizacion/05_visualizacion_imperativa.ipynb |
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# The library data checkout set is extremely massive, ... | CheckoutShrinkingSample.ipynb |
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# # Extracting data from relational databases
# ## SQL... | notebooks/extractingData.ipynb |
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# + [markdown] id="FFt85FyjDbHm"
# <a href="https://colab.research.google.com... | tutor/dp/Dynamic_Programming.ipynb |
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# # Evaluation of Czechoslovak hyphenation patterns
#
... | evaluation.ipynb |
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# # External Source Operator - basic usage
#
# In this... | docs/examples/general/data_loading/external_input.ipynb |
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# # Import Cool Stuff
# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6... | notebooks/mask-rcnn-with-augmentation-and-multiple-masks.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
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# + [markdown] colab_type="text" id="-wFUjZTmcG5a"
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# # Variational Nystrom
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import numpy as np
from s... | notebooks/uncategorized/eigenmap/variational_nystrom.ipynb |
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# # Fourier spectral methods in Matlab (and Python)
#... | sphinx/_static/Fourier-Spectral.ipynb |
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# hash: 00c5ebd15dde17c77a6b6f9ae051f794... | courses/Intermediate Importing Data in Python/importing_data.ipynb |
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# # Documentation: https://wowchemy.com/docs/man... | content/id/post/imporinput/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Regression.ipynb |
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Ima... | notebooks/02_nlp_example.ipynb |
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# #### Exploration of the *in vitro* Fub and Clint datasets
... | notebooks/01_Data_Exploration.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | ML_Lab_1_Group_Work.ipynb |
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def_lda = '''lda = {'''
field = " '#ATR':' '"
dda = 'l... | exec.ipynb |
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# default_exp core
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# # Sparse Core
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# > Core... | 00_core.ipynb |
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#hide
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# de... | nbs/11_dcmm.ipynb |
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# Before we begin, let's execute the cell below to dis... | hpc/nways/nways_labs/nways_MD/English/Fortran/jupyter_notebook/cudafortran/nways_cuda.ipynb |
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import collections
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import ... | analysis/entropy/entropy_analysis.ipynb |
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# %matplotlib inline
import matplotlib
import matplotl... | examples/tf_AutoEncoderForJointGeoProbShapingAndAwgn.ipynb |
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import glob
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fro... | data_process.ipynb |
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# ## Define module in wihch `#export` tag ... | notebooks_dev/rolling.ipynb |
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# # Beyond Girko's Law
#
# 1. <NAME> (1984). Circular ... | beyond_Girko_law.ipynb |
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# # 3. XGBoost
# **Start from the most basic features,... | talkingdata-adtracking-fraud-detection/3. XGBoost0.ipynb |
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# # Apache Spark for astronomy: hands-on session 1
#
#... | notebooks/solutions/session1_solutions.ipynb |
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import spacy
nlp = spacy.load('en_core_web_sm')
# #... | Spacy/3_Spacy_Lemmatizing.ipynb |
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# %load_ext autoreload
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#export
im... | dev_nb/003_rect_square_crop.ipynb |
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import SequenceCleanup
from Bio import AlignIO
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# # Imports
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import pickle
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... | Scripts/1_data_gathering_precleaned.ipynb |
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# + [markdown] deletable=true editable=true
# Now we w... | Training_BigDL_Zoo/4.1-Training-HLFclassifier-TFPark.ipynb |
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import sys
sys.path.insert(0, '../')
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from collect... | notebooks/affiliation_timing.ipynb |
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# First, we create our camera class like this. Please... | notebooks/usb_camera/usb_camera.ipynb |
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# **This notebook is an exerci... | Platforms/Kaggle/Courses/Computer_Vision/5.Custom_Convnets/exercise-custom-convnets.ipynb |
# <a
# href="https://colab.research.google.com/github/LearnPythonWithRune/MachineLearningWithPython/blob/main/colab/final/07 - Project - Deep Neural Network.ipynb"
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# <img
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# # Project: Deep Neural Ne... | Machine Learning With Python/colab/final/07 - Project - Deep Neural Network.ipynb |
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df = pd.read_c... | Dataset Text Processing.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | TensorFlow_LeNet_MaxPooling_Sigmoid+ReLu_01_17_2021.ipynb |
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def validCols(boar... | SudokuValidator.ipynb |
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# # ASR dataset labeling pipeline based on Wikipedia a... | examples/speech_recognition/ASR_pipeline.ipynb |
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# # Notebook 1: Why is Machine Learning difficult?
# ... | jupyter_notebooks/notebooks/NB1_CII-ML_is_difficult.ipynb |
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# # PyCity School... | PyCitySchools/PyCitySchools.ipynb |
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# Lets filter some data from home-assistant, in this c... | Home-assistant/filtering-ha-data/Filtering home-assistant data.ipynb |
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# Shifted Sphere Function with D=50
# Import libr... | 1-Shifted_Sphere/Shifted_Sphere_50.ipynb |
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