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import pandas as pd
# import the pandas libraries and... | 2 clean data/.ipynb_checkpoints/cleandata-checkpoint.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | case_study/gemsec/sampling_analysis_HU.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/001-Clouds-and-Shadows-Masking-Sentinel-2.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # <... | week_2/day_3_lecture.ipynb |
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import tensorflow as tf
var = tf.Variable(10)
const =... | notebook/tensorflow_variable.ipynb |
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# # Binary Star Simulation Interactive
#
# This intera... | Interactives/Binary_Star_Sim.ipynb |
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import numpy as np
import ipywidgets as widgets
import... | .ipynb_checkpoints/equacoes-checkpoint.ipynb |
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# + [markdown] id="CRbhLHQ95Pdt"
# #$Imports$
# ----
# `Required Imports`
#
#... | CNN_1(Fashion_MNIST).ipynb |
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# # Date Parser
#
# Convert any date in a specified fo... | Date Parser.ipynb |
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# + slideshow={"slide_type": "skip"}
from IPython.core... | 5_Functions.ipynb |
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# # TOC
# __Chapter 3 - Part of speech tagging__
#
... | textbooks/NaturalLanguageProcessingPythonAndNLTK/Ch03_Part_of_speech_tagging.ipynb |
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# # Demo EFIx_LP_1B (langmuir probe 2Hz)
#
# > Authors... | notebooks/03b__Demo-EFIx_LP_1B.ipynb |
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import pandas as pd
data=pd.read_csv("weight-height.cs... | ANN Perceptron Linear Regression for Weight_Prediction.ipynb |
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# Automatically update imported Modules
# %load_ext au... | Digit_Recognizer/.ipynb_checkpoints/Digit_recognizer-checkpoint.ipynb |
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# ## Tutorial 1 - JUPYTER Notebook Interface for Pytho... | _build/jupyter_execute/contents/tutorials/tutorial_01/02_jupyter.ipynb |
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# <img width=200 src="https://www.smhi.se/... | example_notebooks/1_Example_recipe.ipynb |
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# ### 4.6. Defining Functions
# +
#Estructura:
# def ... | IntroToPython/Cap-4-part3.ipynb |
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# %matplotlib inline
#
# DCGAN Tutorial
# ===========... | dcgan_faces_tutorial.ipynb |
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# # 15. 사람의 몸짓을 읽어보자
#
# **Human p... | GOING_DEEPER_CV/Node_15/[CV-15] Only_LMS_Code_Blocks.ipynb |
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# # Исследование объявлений о продаже квартир
#
# В на... | sprint3/notebook.ipynb |
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#pip install tensorflow_probability==0.8.0rc0 --us... | Assignment_3_SumanRawat.ipynb |
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import matplotlib.pyplot as plt
# ... | Examples/Optimization_and_Equation_Solving.ipynb |
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repo = "http://cran.us.r-project.org"
library(caret)
library(ggfortify)
... | models/model_flood_counts-rf.ipynb |
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# # Heart Failure Predictions
import pandas as pd
im... | Heart Failure predictions .ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | prediction/transfer learning fine-tuning/api generation/large_model.ipynb |
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# # Bouncing balls!
# > Figuring out collision for cir... | _notebooks/2021-06-18-Bouncing-balls!.ipynb |
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# default_exp core
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# # Simple Neo... | 00_core.ipynb |
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import pandas as pd
import time
from cricsheet.fow_ana... | notebooks/ag-format-collapses-1.4.ipynb |
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# 3D Plots
# ----------
#
# This notebook demonstrates... | molssi_python_visualization/matplotlib/3d_plots.ipynb |
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# # How to use Makefile-style rules t... | src/user_guide/auxiliary_steps.ipynb |
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# # Disease Outbreak Response Decision-making Under Un... | Archive/Simple Measles Model.ipynb |
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# # Common part
# + _uuid="afeeb70a91a7c1349f7f15a50... | src/light-gbm.ipynb |
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from classifier import DialogueActClassifierFactory
from joblib import lo... | Content Analysis Sampling.ipynb |
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# # Searchlight analysis
# %matplotlib inline
project... | examples/SearchlightAnalysis.ipynb |
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import numpy as np
import cv2
detector = cv2.Cas... | person_open.ipynb |
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# *Copyright (c) Microsoft Corporation. All rights res... | examples/00_quick_start/rlrmc_movielens.ipynb |
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import pandas as pd
semi_training_df = pd.read_pickle... | Supreme Court DB - RNN Sequence Classification.ipynb |
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# ## Ferret
# Version: 6.842
#
# ##### For more inform... | NetCDF_Tools/Ferret.ipynb |
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# %matplotlib inline
#
# # Source localization with a... | 0.14/_downloads/plot_custom_inverse_solver.ipynb |
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# ### ipycytoscape walkthrough
#
# - cytoscape json
... | examples/pyolite/ipycytoscape.ipynb |
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# + colab_type="code" id="zX4Kg8DUTKWO" colab={}
#@tit... | 3-Natural-Lanugage-Processing-in-TensorFlow/week2-word-embeddings/Course_3_Week_2_Lesson_3/Course_3_Week_2_Lesson_3.ipynb |
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import numpy as np
import pandas as pd
from pandas... | BoW/Old methods - Feature Extraction/Archive/Parallel Dynamic kmer dictionnary.ipynb |
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# ## Model_Losses_And_Optimizer_Full
import torch
imp... | 01_PyTorch_Basics/06_Losses_Optimizers/Model_Losses_And_Optimizer_Full.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | scanivalve/scanivalve.ipynb |
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# # Propagation through turbulent atmosphere
# This n... | notebooks/Propagation through turbulent atmosphere.ipynb |
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# # Simple Hierarchical ... | _notebooks/2022-01-14-Simple-Hierarchical-Clustering.ipynb |
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# ___
#
# <a href='https://www.udemy.com/user/joseport... | Basic_Py_Notebook/08-Statements Assessment Test - Solutions.ipynb |
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import pandas as pd
dados = pd.rea... | data/extras/dados/criando-faixas-de-valor.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | papermill/plot.ipynb |
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# +
# System imports
import os
import sys
s... | notebooks/binary_MNIST.ipynb |
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# # Dictionary
# - Definition
# - Examples
# - Thumb r... | 05_Dictionary.ipynb |
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# # Test MCMC Retrieval
#
# This notebook performs and... | mcmc_retrievals_test.ipynb |
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# # Sentiment Analysis
# This notebook details the st... | notebooks/sentiment_analysis.ipynb |
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from __future__ import print_function
from rdkit impor... | Visulaization_SMILES.ipynb |
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# ## Generative Adversarial Networks ... | NEU/Singh_Palod_DL/Generative Adversarial Networks/GANS Mode Collapse.ipynb |
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# %load_ext autoreload
# %autoreload 2
# ... | notebooks/test_batch_loader.ipynb |
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import keras
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# %cd data
# data_dir = %pwd
train_... | fisheries/fisheries.ipynb |
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# # Linear Regression
# Let's fabricate some data tha... | LinearRegression.ipynb |
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from flask import Flask, request, render_template
impo... | Pitch-Predict/Untitled.ipynb |
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# Import Scikit-Learn li... | old_jupyter_notes/Gradient_Boosting.ipynb |
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# ## HPI Cooling
#
# This notebook will extract typica... | ipy-notebooks/raw-data/hpi-dayfilter/HPI Cooling Data - Typical Profile Extraction.ipynb |
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import numpy as np
# ```matlab
# function [pulse,azer... | tp6/draft.ipynb |
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# + [markdown] colab_type="text" id="6-aboTeFyO9l"
# #... | MoreNotebooks/ModelFitting/NNLS.ipynb |
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# + [markdown] id="b518b04cbfe0"
# ##### Copyright 2020 The TensorFlow Author... | site/ja/guide/keras/rnn.ipynb |
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# # Select the LCLS-II py3 kernel in the top r... | xtc/read_raw_streamlined-tmolw5618.ipynb |
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# ## Introduction
# ![airbnb.png](attachment:airbnb.p... | Boston_ML.ipynb |
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import numpy as np
import math
import ceo
# %pylab inl... | rayTracing/GMT-M2-Global-Motions.ipynb |
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import numpy as np
import pandas as pd
df = pd.read_c... | scripts/ratemate data cleaning 2.ipynb |
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# ## The Dataset
#
# Each record contain 9 numerical a... | Assignment-4.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Models/custom_CNN.ipynb |
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# ## Paramnormal Activity
#
# Perhaps the most conveni... | docs/tutorial/activities.ipynb |
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# # Logistic Regression: Predicting churn with Apache ... | intro_mxnet_gluon/.ipynb_checkpoints/mxnet_gluon_primer_with_churn_prediction-checkpoint.ipynb |
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# # Compute (YOLO) detection accuracy
# First, we'll i... | evaluation/.ipynb_checkpoints/Compute_(YOLO)_detection_accuracy-checkpoint.ipynb |
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# + [markdown] application/vnd.databricks.v1+cell={"inputWidgets": {}, "nuid": "e390aa02-eaa7-4623-812c-ac9b57cb557d", "showTitle": false, "ti... | 04-Databricks/4.1-Understanding-Incremental-Data.ipynb |
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import matplotlib.pyplot as plt
from sklearn.cluster i... | notebook/_Agrupamento/Kmeans2.ipynb |
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# # Custom Spacy Rules
... | etk_extraction_using_custom_spacy.ipynb |
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# ## Using a color palette
# Simply set the 'palette'... | src/notebooks/53-control-color-of-seaborn-violinplot.ipynb |
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# # Write a driver for hls ip
# 给hls ip写一个上层驱动
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fr... | boards/Pynq-Z2/notebooks/04-DFT.ipynb |
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from IPython.display import Image
Image('mat10.png')
... | notebook/12.11 Matplotlib10 Inset image.ipynb |
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# + id="46d6FBszCGG8" colab={"base_uri": "https://localhost:8080/"} outputId=... | LSTM Sentiment Analysis.ipynb |
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# # CMSC6950 Assignment 2
#
# Due on Tuesday, May 22, ... | assignments/assignment2.ipynb |
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# %matplotlib inline
HELPid="HELP_J... | dmu28/dmu28_COSMOS/SEDs_HELP_J100232.92+020027.45.ipynb |
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# ## Dicionário
# comparando diferença
lista = [1, 'M... | Cap02/dicionario.ipynb |
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# + [markdown] kernel="SoS"
# # Linear-model based prediction
#
#... | development/docker-demo/examples/WP_2019_SoS_Manuscript/WP2019_Outcome_Oriented.ipynb |
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import numpy as np
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# + application/vnd.databricks.v1+cell={"inputWidgets": {}, "nuid": "e2fcac9a-6c35-43ef-bf1b-63e9186864c5", "showTitle": false, "title": ""}
p... | NLP_COURSE/00-Python-Text-Basics/TextFiles.ipynb |
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# # IRIS Exporatory data analysis
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# # Table of contents
# 0. [Introduction](... | 1-Introduction-to-Python/2-Data-Structures.ipynb |
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# # CSCI 567 HW5 USC
#
# <NAME>.
# 2074-6694-... | usc-csci-ml/hw5/src/CSCI567_hw5_fall16.ipynb |
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# importing libraries
import pandas as pd
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# hash: d7d51d963d88d0a32a89f661261e7f539d153565... | Chapter-7-Number-MNIST.ipynb |
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import os
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import pickle
from ABDB... | parapred/make_pickle_file_from_ABDB.ipynb |
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# + slideshow={"slide_type": "subslide"}
class Recogni... | facemap_recognizer/src/a.ipynb |
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# # Rotate image using warp affine transform
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# # Case Study: Does wage gap exist among female mille... | workshops/stat101/wage-gap-analysis.ipynb |
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# ## For each of the following questions, outline how ... | Assignment_10-2.ipynb |
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# + [markdown] id="8R27gfyksk4d"
# # 4章
# ... | Chapter4.ipynb |
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# %matplotlib inline
#
# PyTorch: Tensors
# ---------... | deepml/pytorch-tutorial01/two_layer_net_tensor.ipynb |
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from concorde.tsp import TSPSolver
from matplotlib imp... | prime_paths/convert_to_NEOS_input.ipynb |