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# + [markdown] slideshow={"slide_type": "slide"}
# # N... | Forssen_lecture1.ipynb |
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# # NumPy
import numpy as np
pesos = np.array([50.,5... | book/capt6/Segundo.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | ANTOINETTA_MOLITERNO_Copy_of_python_basics_assignment.ipynb |
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# !pip install git+https://github.com/recohut/recohut.git@S346877
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# defa... | nbs/evaluation/evaluation.sequences.ipynb |
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# + [markdown] id="boLhh_GqlCnp" colab_type="text"
# # Install packages
# + ... | MatNER_v1.ipynb |
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# # Determine the molecular gas mass of a z=1 star-for... | Radio_interferometry/p1.ipynb |
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from collections import Counter
import tensorflow... | nlp-models/tensorflow/tf-estimator/word2vec_cbow.ipynb |
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# + [markdown] id="pFTxgQSXQcJb"
# # Permutation Model... | .ipynb_checkpoints/BayesPerm_PresentationCode-checkpoint.ipynb |
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import os
import time
from tqdm import tqdm
impor... | stanford-cars-dataset/build_model_from_scratch.ipynb |
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from NumbaMinpack import hybrd, lmdif, minpack_sig
fro... | comparison2scipy.ipynb |
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# # !pip3 install numpy taichi numba m... | mandelbrot_set.ipynb |
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# # Pandas - Series
#
# Elemento mais básico (data + i... | scripts_numpy_pandas/Pandas_01_series.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | MachineLearning/Naive Bayes Classifier/.ipynb_checkpoints/NaiveBayes-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | module2-regression-2/Assignment_DS_212_Regression_2.ipynb |
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# **This notebook is an exercise in the [Intermediate ... | Kaggle Courses/Intermediate Machine Learning/exercise-cross-validation.ipynb |
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import pandas as pd
import numpy as np
from sklearn.mo... | training.ipynb |
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# Useful for debugging
# %load_ext autoreload
# %autor... | examples/apex_gun_example.ipynb |
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... | notebooks/billy/btc-montecarlo.ipynb |
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# + colab={} colab_type="code" id="UueoL5L1qw2n"
impor... | Wazihub Soil Moisture Prediction Challenge/Solution 3/wazihub_soil_moisture.ipynb |
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# _Disclaimer: This code is from a tutorial taken from... | finance/Apple stocks.ipynb |
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# <a id="top"></a>
# # Landsat Vegetation Phenology
#
... | DCAL/DCAL_notebooks/DCAL_Vegetation_Phenology.ipynb |
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# # Nipype Quickstart
#
# **This is a very quick non-i... | workshop/nipype_tutorial/notebooks/introduction_quickstart_non-neuroimaging.ipynb |
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from miniutils.progress_bar import progbar, parall... | tests/visual_tests.ipynb |
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import csv
import ... | 2_sentiment_analysis.ipynb |
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# Copyright 2019 NVIDIA Corporation. A... | docs/_notebooks/CitriNet-example.ipynb |
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# + [markdown] heading_collapsed=true
# ## Movielens
... | courses/dl1/lesson5-movielens.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | Data Preprocessing/Day_1.ipynb |
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# # Введение
#
# Эти интерактивные тетрадки подразумевают пос... | 0 - Intro.ipynb |
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# # Prediction of World Cup 2018 Qualifications in Fin... | wc2018-phases-predictions.ipynb |
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# + init_cell=true
# %logstop
# %logstart -rtq ~/.logs... | 13_ML_Time_Series.ipynb |
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# # Getting Started
#
# [![](https://... | docs/tutorials/introduction.ipynb |
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# + [markdown] colab_type="text" id="7IXUfiQ2UKj6"
# L... | module3/assignment_regression_classification_3.ipynb |
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import os
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import numpy as np
import pandas ... | report/preprocessing.ipynb |
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# # Advanced Examples
# ---
# ```{admonition} ... | docs/usage/advanced.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/03d-OCT_Kaggle_SimCLRAug.ipynb |
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# # Read and write from Numpy to ... | notebooks/cloud-data/blob-adls-numpy.ipynb |
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# ## Image classification w... | week2/day3/sagemaker-tensorflow2/Classification-Train-Serve/ClassificationTFContainer.ipynb |
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# # Autocompletion
#
# ## N-Gram Language ... | week7/conclusion.ipynb |
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# # Major Imports
from __future__ import print_functi... | Project 1 - Part A Submission Files/Project 1 - Part A - L18-1845.ipynb |
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# ## Project Topic Classification
# run this stateme... | src/Classification-NB-Model/Final.ipynb |
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import seaborn as sns
import metapack as mp
import... | ml-notebooks/HomelessDigits.ipynb |
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# # Build Classification Models
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import pandas as pd
from skle... | 4-Classification/2-Classifiers-1/notebook.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | Brain MRI Images for Brain Tumor Detection/brain-mri-images-for-brain-tumor.ipynb |
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import requests
from pprint import pprint
import o... | medusa/test_ground.py.ipynb |
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# + [markdown] id="baIUIfrChJcY" colab_type="text"
# #... | Tensorflow Data and Deployment/Course 2 - Device-based Models with TensorFlow Lite/TFLite_FashinMNIST.ipynb |
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# # Continuous Control
#
# ---
#
# You are welcome to ... | Deep Reinforcement Learning/Project 2 - Continuous Control/Continuous_Control.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | MAT041/ayudantia_2/python.ipynb |
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# # The Quest for the Ultimate Optimizer - Episode 1
#... | Episode1/Episode1.ipynb |
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from surprise import SVDpp
from surprise import Da... | SVDpp.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as ... | chan/01_Centre_Expand_Handler_Alpha_14.ipynb |
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# ### Custom functions to clean data
# You'll now prac... | cleaning data in python/Cleaning data for analysis/06. Custom functions to clean data.ipynb |
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# # Track Data Drift between Training and Inference... | how-to-use-azureml/data-drift/azure-ml-datadrift.ipynb |
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# ## check overlapped exons in idt target regions
# > ... | notebooks/idtbed_merge.ipynb |
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import numpy as np
import os
import pandas as pd
from ... | color analysis/soryeongk_blue_hue.ipynb |
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# <table>
# <tr><td><img style="height: 15... | Dynamics_lab08_HoleInPlate_solidDisplacementFoam.ipynb |
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# # Defining data types
# We can define types (i.... | JuliaWorkshop/Part1-BasicJulia/10. Advanced - User Defined Types.ipynb |
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from noisegen import NoiseGenerator
import numpy as np
im... | docs/examples/ex_pink_noise.ipynb |
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# ##### Copyright 2020 The TensorFlow Author... | site/zh-cn/guide/keras/transfer_learning.ipynb |
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# # Factoring Polynomials with SymPy
# Here is an exa... | docs/source/examples/Factoring.ipynb |
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# # CycleGAN, Image-t... | cycle-gan/CycleGAN.ipynb |
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# # Explo... | notebooks/sparse-dnn/convolution.ipynb |
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# # TimeEval parameter optimization result analys... | notebooks/TimeEval parameter optimization analysis extra2.ipynb |
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# <h1>Hosting Large Models</h1>
# In this notebook, w... | examples/experimental/Host GPT-2 (12-layer, 768-hidden, 12-heads, 117M parameters) .ipynb |
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# # ART for Tensorflow v2 - Keras API
# This notebook... | notebooks/art-for-tensorflow-v2-keras.ipynb |
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import dask.distributed, os
import xarray, numpy
xarr... | exploratory/21-04-01_netcdf-zarr-conversion-tests.ipynb |
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import xarray as xr
import numpy as np... | notebooks/passive/format_metadata.ipynb |
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# ## Figure 1d-f. Quasi-vertical displacement
#
# 1. R... | Fig1_obs_maps.ipynb |
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import sys
sys.path.append('../scripts/')
from dp_pol... | section_reinforcement_learning/q4.ipynb |
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from bs4 import BeautifulSoup
import requests
URL = ... | ReviewScrapper.ipynb |
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# # Getting started
#
# The main interface to PyS... | docs/basic_use.ipynb |
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# #!/usr/bin/env python
'''
DESCRIPTION
---------... | notebooks/7.1-pg-lof.ipynb |
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import matplotl... | Chinese Football Association Super League.ipynb |
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# # Обучение нейросет... | 2020-fall/seminars/seminar4/DL20_fall_seminar4.ipynb |
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# # SVD/PCA Algorithm
# ## Theory behind SVD and PCA
... | PCA picture/SVD_and_PCA.ipynb |
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# # Pandas Challenge
# ## HeroesOfPymoli_starter
# D... | HeroesOfPymoli/HeroesOfPymoli.ipynb |
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# Useful for debugging
# %load_ext autoreload
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# # Git Stash
# Before you can `git pull`... | module04_version_control_with_git/04_08_git_stash.ipynb |
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# Load Pictures function
def LoadImages(pat... | _Functions.ipynb |
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# <img src="./intro_images/MIE.PNG" width="100%" align... | Intro to SQL/Intro to SQL Book 6 (Using SQL in Python).ipynb |
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import pandas as pd
import numpy as np
import math
mo... | NY/FinalTransformation.ipynb |
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# # PYTHON CRASH COURSE
# #### Nov 23, 202... | S04PythonCrashCourse/L01PythonCrashCourse.ipynb |
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# + [markdown] id="iCm2sd89tOdP"
# # Demo: Defining Co... | examples/python-notebooks/.ipynb_checkpoints/Example-OR-JOBs-checkpoint.ipynb |
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# # EV Datasets List
# <hr>
# https://ev.caltech.edu/... | code/EV_datasets.ipynb |
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# %reload_ext autoreload
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# + [markdown] slidesho... | 1_Descente de gradient.ipynb |
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# # Timeseries
# Pandas started out in the financial ... | notebooks/05-Timeseries.ipynb |
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# # Under- and overfitting, model selection
#
# ## Pre... | practicals/week_2.ipynb |
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# # Manometry
#
# ## Learning outcomes
#
# * Apply kno... | 2.2 Manometry.ipynb |
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#
# Lambda School Data Science
#
# *Unit 2, Sprint 3, ... | module4-model-interpretation/LS_DS_234_assignment.ipynb |
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# + editable=true
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# <script async src="https://www.googletagmanager.com/... | Tutorial-ScalarWave.ipynb |
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# # Tree Shap
#
# To get a sense of the Shap library th... | quiz/m7/m7l6/tree_shap.ipynb |