code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# # Speech command prediction with federated learning
... | nbs/train_speech_command_federated-adamw.ipynb |
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# # Run MLFlow Model in Seldon Core
#
# This notebook ... | examples/models/mlflow_model/mlflow.ipynb |
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# # Task #2
#
# A template code for training an RBM on... | Project_1_RBM_and_Tomography/.ipynb_checkpoints/Task2-checkpoint.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | Data Science and Machine Learning Bootcamp - JP/03.Python-for-Data-Analysis-Pandas/06-Merging, Joining, and Concatenating.ipynb |
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# !pip install pyspark
from pyspark.sql import Spark... | .ipynb_checkpoints/PySpark Dataframes -5- Aggregate and GroupBy-checkpoint.ipynb |
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import json
# %run ../Python_files/util.py... | 01_INRIX_data_preprocessing_journal18/INRIX_data_preprocessing_07_extract_speed_data_filter_dict_journal_merge_Oct_NT.ipynb |
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# # Implementacion inicial de k means
#
# ### En esta ... | paralelismo/k_means/k_means_ilustrator.ipynb |
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# # Visualize the different participation loss functio... | sanity_check/participation_loss_visualization.ipynb |
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# %matplotlib inline
import pandas as pd
idx = pd.Inde... | pycon-pandas-tutorial/All.ipynb |
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# #### **Title**: HexTiles Element
#
# **Dependencies** Matplotlib
#
# **Backends** [Matplotlib](./HexTiles.ipynb), [Bokeh]('../bokeh/HexTiles... | examples/reference/elements/matplotlib/HexTiles.ipynb |
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# # Function Arguments
#
# +
def greet(name, msg):
... | 3.2.Function Arguments.ipynb |
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# + [markdown] id="09kv2dmwRq-i"
# Theory: Multiple regression is a machine l... | MultipleRegression.ipynb |
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# + [markdown] colab_type="text" id="U2ha9OWxf0jw"
# L... | module3-permutation-boosting/LS_DS_233.ipynb |
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# + [markdown] id="PvOw_n8bVvLK"
# # Solving Linear Systems
# + id="04ALkqV7... | 01 Linear Algebra for Machine Learning (Jon Krohn)/04 Solving Linear Systems.ipynb |
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import numpy as np
import pandas as pd
# +
method = '... | isic_submit/merge/merge_pred_unk.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | ML1.ipynb |
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# + [markdown] colab_type="text" id="GzfdMfk10NE6"
# #... | SupervisedMachineLearning.ipynb |
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from tinc import *
tclient = TincClient()
[db.id for... | jupyter-notebooks/Cache to disk buffer.ipynb |
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# # Case 3. Patient Drug Review
# Mr.<NAME><br>
# Last... | Case 3. Patient Drug Review.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | colab/08_data_frames.ipynb |
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# + id="n3y2gU1Nw-Ng" colab={"base_uri": "https://localhost:8080/"} outputId=... | notebooks/CS680_ARIMA_Project.ipynb |
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from sklearn import linear_model
from sklearn.metrics ... | Comparison-Results.ipynb |
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# # Exercise 10
#
# # Capital Bikeshare data
# ## Int... | exercises/13_bikeshare_exercise_solution.ipynb |
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# <a href="https://qworld.net" target="_blank" align="... | Notebooks/QC_2_Qiskit_Installation.ipynb |
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# ## High and Low Pass Filters
#
# Now, you might be w... | Convolutional-Filters-and-Edges/Fourier-Transforms-and-Filters.ipynb |
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# # Theoratical Generation of Data
# - Strain Life (Mo... | .ipynb_checkpoints/special_assignment_1-checkpoint.ipynb |
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# ### download the dogs and cats data set and unzip it... | catdog/data_prep.ipynb |
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# STAT 453: Deep Learning (Spring 2021)
# Instructor... | L09/code/mlp-pytorch_softmax-crossentr.ipynb |
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# + id="MpSRZmco14dZ" colab_type="code" colab={}
import pandas as pd
import n... | day2_visualization.ipynb |
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# # Process Results
# Process data from DCOPF and MPPDC m... | src/3_process_results/process-results.ipynb |
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# + [markdown] colab_type="text" id="nCc3XZEyG3XV"
# L... | module2/assignment_applied_modeling_2.ipynb |
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import eeconvert
import ee
import geopandas as gpd
e... | examples/sample.ipynb |
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# ## Notebook Purpose
#
# Analyze feature map regulari... | ipynb/ismrm/20201210_ismrm_fm_reg_expmts.ipynb |
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# + active=""
# ... | Iris-flower-data-set-classifier.ipynb |
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# ## Advanced Algorithmic Trading DT - V4
#
# ### Upda... | Code/Model 1 (regression trees)/AAT-DT_v4.ipynb |
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# 
# # The nump... | numpy.random.ipynb |
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# Harvesting ... | 02_regex/lab_spamlord/exercises_spamlord.ipynb |
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# + [markdown] id="auzlUi26MZ8M"
# # Dataset download
# In this section the d... | 2-vgg16.ipynb |
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# ### %matplotlib inline
import matplotlib.pyplot ... | notebook/FaceDetection.ipynb |
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# # Getting Started
#
# Bambi requires a ... | docs/notebooks/getting_started.ipynb |
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# Python program to illustrate
# the concept of ... | Section 5/# 5.2 Stop processes from interfering with each other with locks.ipynb |
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import sqlite3
import pandas as pd
import numpy as... | org_data.ipynb |
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# + [markdown] id="5nBnlGtGPluR"
# # **About the Project**
#
# In this projec... | Resume_Segmentation.ipynb |
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# --... | shine_2018/notebooks/timelags.ipynb |
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# # Forecast Cases
#
# Using a generative model, simul... | model/contact_tracing/simulation_model_delay.ipynb |
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# %load_ext autoreload
# %autoreload 2
# +
#
# Plot t... | plotting/CallFrequencyPlot.ipynb |
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# + [markdown] raw_mimetype="text/restructuredtext"
# ... | doc/source/customization/permutation.ipynb |
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from __future__ import print_function
import keras
fro... | CNN.ipynb |
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# # Calculate NDVI
#
# The Normalized Difference Veget... | code/calculate_ndvi_extract_spectra_with_masks.ipynb |
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# + [markdown] tags=[]
# ... | aws_sagemaker_studio/sagemaker_algorithms/linear_learner_mnist/linear_learner_mnist.ipynb |
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# # Optimal learning rates
#
# In this tutorial, we'll... | modules/learning_rate.ipynb |
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# # Python Tutorial: Basic Operator
# author: [uJhin'... | python-tutorial/note/02. Python Tutorial - Basic Operator.ipynb |
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# # UFO Modeling Lab
#
# <u>Use Case</u>
# ... | CHAPTER 6 - Modeling/Modeling Lab/ufo-modeling-lab-Idan.ipynb |
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from bs4 import BeautifulSoup as BS
from selenium impo... | notebooks/Weather_scraper.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-with-data-dependency-steps.ipynb |
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import numpy as np
import pandas as pd
import random
i... | rnn/.ipynb_checkpoints/rnn_names_pytorch-checkpoint.ipynb |
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# title: "Mode-Metrics"
# author: "<NAME>"
# date: 2020-09-04
# description: "-"
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# # unpacking
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# + [markdown] slideshow={"slide_type": "slide"}
# ![]... | notebooks/DAC2018_xilinx_webinar_slides/DAC2018_xilinx_webinar_slides.ipynb |
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convokit
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# # Advanced tour of the Bayesian Optimization package... | examples/advanced-tour.ipynb |
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# Imports
import os
import tarfile
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# <a href="https://colab.research.google.com/github/TH... | session_one/session_one_blank_template.ipynb |
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# + id="aWjiMM8qbM__" colab_type="code" outputId="cb1301cf-4514-4744-cc2d-e05... | finch/tensorflow2/spoken_language_understanding/atis/main/bigru_clr.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# - table IDs `tid` are in `contrib['content']['tables... | mpcontribs-api/kernel_imports.ipynb |
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# + [markdown] id="tJBmVSUL4PvO"
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# + id="HnLuFuVTsS2H" colab_type="code" colab={}
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# # LatNetBuilder
#
# This demo shows how to use gener... | demos/latnetbuilder.ipynb |
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using Plots, Data... | notebooks/scratch/meetup/wine.ipynb |
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import json
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fr... | examples/notebooks/07_geojson.ipynb |
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# pip install pymc3 seaborn
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i... | Dead Time/2 pulser deadtime.ipynb |
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# # **Exercise 1: Counting DNA Nucleotides**... | estudo_rosalind/Fase 1/Exercicio_A_Sindy.ipynb |
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# this script is down Py2.7
# <NAME>
#
#Path Plan... | Path_Generation/BSpline/BSpline.ipynb |
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## Day 9
n=int(input("enter a number: "))
sum=n%1... | Day 9/1218muskan.ipynb |
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# Import Numpy for calculations and matplotlib for char... | 01-Lesson-Plans/05-Matplotlib/1/Activities/01-Ins_BasicLineGraphs/Solved/exponential_chart.ipynb |
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# <img src="https://s3-api.us... | IBM Professional Certificates/Python for Data Science and AI/3-2-Loops.ipynb |
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# +... | _notebooks/2020-03-19-cases-and-deaths-per-million.ipynb |
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# + [markdown] id="1pIo4r_Y8cMo" colab_type="text"
# # DAIN Colab
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import pandas as pd
from plotnine import *
import re
... | code/.ipynb_checkpoints/seoul_closed_shops_soryeong_ver05-checkpoint.ipynb |