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# ###################################################... | notebooks/backup/Version-1.2/2.0-data-cleaning.ipynb |
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# # Delving Deep into Rectifiers a summary
# > Using i... | _notebooks/2020-04-05-Delving-Deep-into-rectifiers.ipynb |
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# # Pyprojectx demo project
#
# Make it ea... | README.ipynb |
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#dependencies
from deepmusic.moduleloader import Modul... | Untitled.ipynb |
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# hash: 1903b2bc6... | _notebooks/2020-10-12-functional_data_analysis.ipynb |
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# # LeetCode #9. Palindrome Number
#
# ## Question
# ... | LeetCode/LeetCode_9PalindromeNumber.ipynb |
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from collections import namedtuple
from pyspark.sql... | Summit/2019/resources/Notebooks-Wed/recommendations-feature-transformation.ipynb |
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# + [markdown] id="hIMVG27Tu3Al" colab_type="text"
# # Rock-Paper-Sciccors Ga... | Notebook/RockPaperScissors.ipynb |
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# # [Seattle Pet Names][1]
#
# Seattle's open data por... | 2019/Seattle Pet Names.ipynb |
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for digit in range (0,15,2):
print (digit)
x=0
ab... | Untitled2-checkpoint.ipynb |
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# + id="QL3RXelaV5G5"
import json
# + id="rn2k5OUnWVth"
fd = open("record.js... | IMS_purchasing_a_product.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | Neural Networks/zakharov_CNN.ipynb |
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# # SPLEX-Project 2020-2021 : Frog Calls
# -------
#... | notebooks/3-Summary.ipynb |
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# # Building happiness
# ### Learnings and choices mad... | happiness/Building happiness.ipynb |
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# # 2D slip-potency data
# In this tutori... | tutorials/earthquakes/slip_potency_2D/slip_potency_2D.ipynb |
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# packages
import numpy as np
import cv2
import matplo... | TopicNotes/ComputerVision/.ipynb_checkpoints/ImageContours-checkpoint.ipynb |
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# # Example 2: GLM estimation in a block design
#
# ##... | examples/example2.ipynb |
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# # Da... | m2-data-analysis-and-hypothesis-testing/case-study-data-visualization.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
import pandas a... | FM305/solve.ipynb |
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import numpy as np
import cv2
import os
from glob impo... | ros/src/tl_detector/light_classification/train_model.ipynb |
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from... | laliga_webscrape.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
... | ImageRecon/.ipynb_checkpoints/FBP_Uniform_concentric_disks-checkpoint.ipynb |
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# + [markdown] id="_R9HQk_wJT6_" colab_type="text"
# # Running YOLO v3 with O... | S13/EVA4S13_OpenCV_Yolo_v3.ipynb |
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import tkinter as tk
from tkinter import filedialo... | GUI Tkinter.ipynb |
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# # SYS 611: Baseball Salary Model
#
# <NAME> <<EMAIL>... | week10/BaseballSalary.ipynb |
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# + [markdown] jp-MarkdownHeadingCollapsed... | numpy/arrays.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | HW2/HW2.ipynb |
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# # Kqlmagic - __parametrization__ features
# ***
# ... | notebooks/ParametrizeYourQuery.ipynb |
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# %load_ext autoreload
# %autoreload 2
# # Standardiz... | docs/contents/Standardize.ipynb |
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# %matplotlib inline
import numpy as np
import mat... | tarea3/tarea3-08.ipynb |
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# default_exp traceability.unsupervised.eda
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# # Introduction to Neural Networks
# ## Import packa... | nn_cnn/Ch03/03_05/03_05 Stop.ipynb |
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# # Data Migration - Program A
# Dependencies
import ... | data-migration-program-A.ipynb |
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from core import coordinates
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# # 1. Pandas Foundations
import pandas as pd
import ... | pandas/pandas-foundations/pandas-foundations.ipynb |
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# # Written by <NAME> and <NAME>
# + [markdown] pycha... | notebooks/3.1-jmk_and_ccp-scraping_stream_titles.ipynb |
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from data import train_input_func, eval_input_fn, pred... | CapsuleNetworks.ipynb |
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import os
import tensorflow as tf
import numpy as ... | src/inference/Washover_Inference.ipynb |
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# + nbsphinx="hidden"
import pandas as pd
from pybatfi... | docs/source/notebooks/routingTables.ipynb |
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# ## 机器学习的模型评估与调参
# [文章出处](https://mp.weixin.qq.com/s/... | models_score.ipynb |
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# This notebook is exploring using Facebook Prophet wh... | Notebooks/.ipynb_checkpoints/cpu-usage-volatility-method-prophet-checkpoint.ipynb |
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# Loading data
import numpy as np
from numpy impo... | data_classification.ipynb |
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# Stacks basics
# +
from Nodes import Node... | Data_Structure_and_Algo/stacks.ipynb |
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# ## Overview
#
# This notebook is designed to provide... | python/hail/docs/tutorials/01-genome-wide-association-study.ipynb |
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# ## Instructions
#
# Look at the code bel... | Day-1/2. Debugging_Practice.ipynb |
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# # Deep Belief N... | Stock_Algorithms/Deep_Belief_Networks.ipynb |
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# # Introducción
#... | docs/source/introduccion_doc.ipynb |
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# ML Course, Bogotá, Colombia (© <NAME>; June 20... | Lectures/1_ComputationalAndInferentialThinking/03_Featurization_and_NLP.ipynb |
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# + [markdown] deletable=true editable=true
# Note: th... | 08.ipynb |
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import pandas as pd
import numpy as np
from scipy impo... | examples/Logistic Regression Example.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | hotel-booking.ipynb |
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# # Setup
#
# To run the example, a file named `secret... | notebooks/Demo_02_Workflow.ipynb |
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# # Data Inspection
# A one stop shop notebook to int... | Jupyter_Notebooks/Data_Inspection-PyTorch3D.ipynb |
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class Animal:
def __init__(self):
... | Python Basics/Inheritance.ipynb |
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serie = [0, 1, 2... | DateFrame.ipynb |
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# ## Defining a vector-space
# Let's begin with an example. Consider the... | PCA_LSA.ipynb |
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# # NLP Demo Logistic... | SentimentAnalysis/SimpleNN/GetSentimentData.ipynb |
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# # GPSO optimisation example with saving the model ou... | examples/2-saving-model-output.ipynb |
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# # Lecture 13: Estimating... | web/13/SMD_Julia.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | monte-carlo-dynamic-volatility.ipynb |
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# # Consumo de Cerveja - São Paulo
# Impo... | Projeto/.ipynb_checkpoints/Consumo_de_Cerveja-checkpoint.ipynb |
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# ### Pull Portfolio Factor Attribution Data with GS Q... | gs_quant/documentation/10_one_delta/demos/Get Factor Attribution Data.ipynb |
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# ## Scikit-learn: basics
#
# ### Facilidad de uso
# 1... | Web Application/Notebooks/10. Modelos predictivos/02_scikit-learn.ipynb |
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# ### AQ-10 methods scores
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#Import python modules... | .ipynb_checkpoints/autism-screening-project-checkpoint.ipynb |
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# # HW2 Regression Fun Time!
# ## Due Mon... | notebooks/linear_regression.ipynb |
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from __future__ import print_function
import cobr... | Code/OldCode/.ipynb_checkpoints/OldCode_T7_pFBA_Gapfill-checkpoint.ipynb |
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# Reference : https://www.kaggle.com/muonneutrino/sent... | Chapter 05/sentiment_analysis_amazon_reviews_rnn_bidirectional_lstm.ipynb |
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# # Feature Engineering
#
# **Author(s):** <EMAIL>, <E... | tensorflow/sc17/cats/step_4_to_4_part2.ipynb |
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# # Data Analysis of extracted data
# This notebook c... | scripts/plots.ipynb |
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import numpy as np
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import matp... | jupyter_book/basic_ml/11_decision tree to classify iris.ipynb |
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# !pip install opencv-python
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# # ---------------PROJECT ... | experiment-2/2_Training/train_model.ipynb |
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# # Style and Color
#
# We've shown a few times how to... | Python/data_science/data_analysis/06-Data-Visualization-with-Seaborn/06-Style and Color.ipynb |
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# + [markdown] id="nST_NIefwj5C"
# # Citizen scientist... | development/notebooks/Cit_sci_accuracy.ipynb |
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# %%
# %load_ext autoreload
# %autoreloa... | oms/notebooks/AmpTask1853_Review_improve_portfolio_accounting_code.ipynb |
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# # Process Text using TFIDF in Python
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# + [markdown] id="wOUv34El1gMK"
# # Training deep models for phosphopeptide ... | PROPERTY-PREDICTION-02-modeling-retention-time-in-phosphopedia-data.ipynb |
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from nonlinear_control import *
# Get xdot = f + ... | Tutorials/tutorial.ipynb |
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import matplotlib.pyplot as plt
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im... | Dia_4/instructores/.ipynb_checkpoints/Proyecto Calentamiento Global-checkpoint.ipynb |
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# ## Scattered data interpolation
#
# This notebook de... | notebooks/scattered-shepards.ipynb |
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# # EU referendum: interactive `bokeh` map <img src="i... | exercises/interactive_bokeh_map/interactive_bokeh_map.ipynb |
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pn.extension()
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#Smart Chat bot program
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pip install nltk
pip... | main.ipynb |
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# # 基尼系数
import numpy as np
import matplotlib.pyplot ... | 09DecisionTree/04Gini-Index.ipynb |
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# # Multi-regression of the metabolites concentrations... | notebooks/MLP_tuning/Multi_regression_concentrations_MLP_tuning-Copy2.ipynb |
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# I get the following output from the code below:
# ``... | notebooks/historical/Filter Integration Bughunt.ipynb |
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from pyspark.... | jupyter/notebooks/netflow.ipynb |
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# **If training on colab, be sure to use a GPU (runtim... | train_SRRestNet_and_SRGAN.ipynb |
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# # IBP MCMC inference
# Adapted from <NAM... | notebooks/IBP_inference.ipynb |
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"""
Script of petro-inversion of gravity over TKC... | PGI_individual_inversion/GRAV/OnlyPKsignature/Gravity_petro_only_PKVK.ipynb |
# + gather={"logged": 1621410542431}
import os
import io
import torch
from torch import nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
import pytorch_lightning as pl
from transformers import BertJapaneseTokenizer
from transformers import BertModel
import pandas as pd
import tarfile
from gl... | model_test/BERT_PyTorch_Lightning_huggingface_model_test.ipynb |