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# # Outlier Analysis
# Authors: <NAME> (code and writt... | Outlier Analysis.ipynb |
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# + [markdown] cell_id="00000-cd14a2b9-8a6... | exercises/01-Basic.ipynb |
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import torch
# # Why you need a good init
x = torch.... | nbs/dl2/selfmade/02b_initializing.ipynb |
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# + [markdown] id="XKQfEhLErqiH"
# ### Genarating names with character-level ... | 09_NLP/04_Character_Level_RNN/02_Names_Generation_Character_level_RNN.ipynb |
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# ### Simple example of a Gaussian process
#
#
# The f... | intro/simple_gp.ipynb |
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# # Undersampling
#
# Implement the cluster centroids and r... | 17_Supervised_Machine_Learning_and_Credit_Risk/17-10-2-undersampling/Notebook/undersampling.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
... | notebooks/chapter12.ipynb |
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import pandas as pd
import seaborn as sn
import numpy as np
import matplo... | Data Analytics/Lab 2 and 3 - Probabilistic Building Blocks/Task_3_1/My_Solution_3_1.ipynb |
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# ## Visualizing TFMA Results
#
# This notebook desrib... | examples/chicago_taxi/chicago_taxi_tfma.ipynb |
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import pandas as pd
import numpy as np
import os
impor... | normalize.ipynb |
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# # Examples of 2-D classifications using QDA an... | 2D_KDE_classification.ipynb |
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# ## Applying unvectorized functions with `apply_ufunc... | doc/examples/apply_ufunc_vectorize_1d.ipynb |
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# ### 电池单体一致性差报警
#
# - **问题描述**：预测未来两周内... | source/sagemaker/xgboost_beginner.ipynb |
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import networkx as nx
from networkx.readwrite impo... | Parse_Recipes.ipynb |
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# # MP3 Preparation and Processing
# This notebook des... | 1. Data Preparation.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="... | pitches/complex-portal/extract-complex-portal-shex.ipynb |
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import numpy as np
import pandas as pd
import s... | demo/binary_classification/Mushrooms_02.ipynb |
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import json
import pandas as pd
from time ... | src/ssc-txns.ipynb |
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# + [markdown] id="RYGnI-EZp_nK"
# # Getting Started: ... | tutorials/AudioTranslationSample.ipynb |
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TASK = "ncbi-taxonomy"
DATE = "2022-02-05"
DIR = "... | _research/2022-02-05-NCBI-taxonomy-in-neo4j.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-west... | aws_sagemaker_studio/introduction_to_amazon_algorithms/xgboost_abalone/xgboost_abalone.ipynb |
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# ## Title: IPCC Climate Zone Map
#
# ### Description... | Data/Climate/IPCC_ClimateZoneMap.ipynb |
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import sys
sys.path.append('..')
print(sys.path)
from... | notebooks/plot_checkpoint.ipynb |
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# # kNN Algorithm Tutorial
# * importing dataset
# * d... | Machine Learning Algorithms/h. K-Nearest Neighbour (KNN) Classification/kNN Algorithm.ipynb |
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# # Transfer learning walkthrough using Pytorch
# > Im... | _notebooks/2020-10-19-pytorch_transfer_learning_basics.ipynb |
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from python_learning import sequences as seq
# ## Рас... | python-learning-structure-and-data.ipynb |
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import numpy as np
import pickle
from itertools import... | variational/variational_meta_learning.ipynb |
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# # Le terminal
# ## Afficher date
# La commande `cal... | doc/inf/terminal.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | DataGeneration.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | MONTEJO_Assignment5.ipynb |
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# # Exercise: One-hot vector
#
# [One-hot encoding... | Day1/exercise_solutions/3_solution_onehotvec.ipynb |
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# ## Índice
# * [Relevamiento de Expectativas... | Datos/Data Preprocessing.ipynb |
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# Stochastic Variational Optimi... | doc/source/notebooks/svi_test.ipynb |
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import h5py
from pathlib import Path
# `h... | examples/migration-1.0.1-fix.ipynb |
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import pyprob
from ... | examples/Gaussian_DIS.ipynb |
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# ## Import the Libraries
import pandas as pd
impo... | .ipynb_checkpoints/Irv_EDA6-checkpoint.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
# %... | scikit/Chapter 2/Validation Curves.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="-ywH7QAwQnm-" outputId=... | Reading_from_Files.ipynb |
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import pandas as pd
df = pd.DataFrame(columns=['t... | scrapper_kloop1.ipynb |
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# + id="1uICbB4nDexm" executionInfo={"status": "ok", "timestamp": 16285191949... | _docs/nbs/reco-tut-mll-04-naive-movie-similarity.ipynb |
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"""
This module aims to describe how to implement
... | tutorials/1__getting_started_with_sweet_rl.ipynb |
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import re
import networkx as nx
from IPython.dis... | notebooks/21-fsa-idx-REF.ipynb |
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import numpy as np
import pandas as pd
import gc
i... | Spotify_Skip_Final_Solution_Test_File_Prediction.ipynb |
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# <i>YT Trending Prediction</i><br>
# --
#
# Coded by ... | YouTube_Trending_Prediction.ipynb |
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# %matplotlib inline
#
# # Implemented Raman response... | docs/_downloads/d4ca0dd0e0517a864dc374a930ff4d47/g_list_raman_models.ipynb |
# -*- coding: utf-8 -*-
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# # Intersection
#
# In th... | tutorials/Intersection.ipynb |
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# # Tutorial: Running DFTB+ calculations from Jupyter
... | 6_dynamics/2_nbra_workflows/1_step1_dftb/tutorial.ipynb |
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# + [markdown] id="ykdFtjAJvO1H"
# # Lab 05 : Train wi... | codes/labs_lecture03/lab05_minibatch_training/minibatch_training_exercise.ipynb |
# # Worksheet B-2: Strings and Regular Expressions
#
#
# In this tutorial, you'll practice how to:
#
# - Manipulate a character vector in R using the stringr package.
# - Write simple regular expressions (regex).
# - Apply regular expressions to data manipulation.
#
# Load the requirements for this worksheet:
# + mess... | content/worksheets/worksheet_b02.ipynb |
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import pandas as pd
df = pd.read_csv('../00_data/test... | 10_code/11_usefulCode/Merge_feature_response.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
imp... | notebooks/data_validation.ipynb |
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# Pip installs
# !pip install docx2txt
# !pip install ... | deprecated/test_functions.ipynb |
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# # Minimum Waiting Time
# [link](https://www.algoexpert.io/questions/Minimum%20Waiting%20Time)
# ## My Solution
# O(nlogn) time | O(1) spac... | algoExpert/minimum_waiting_time/solution.ipynb |
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# # Military Expenditure, GDP, and Population
# ## Au... | military_expenditure.ipynb |
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# # Pegasus Plotting Tutorial
#
# Author: ... | notebooks/plotting_tutorial.ipynb |
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from rdkit import Chem
from rdkit.Chem import Draw
fro... | examples/Rendering_RESP_charge/example.ipynb |
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# Dans un notebook précédent, on a vu comment créer un... | posts/2015-02-26-elastic-grids-of-edges.ipynb |
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# <p class='cooltitle' style="font-size:35px; text-ali... | Notebooks/5_Neural_Networks.ipynb |
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# # Energy balances June 2021 edition
#
# Load,... | 2021/eu/june/balances.ipynb |
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# 기본 환경 로드
# %run ./env.ipynb
# # Collect Raw Data
#
... | mnist/src/backend/crd.ipynb |
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// # Map
// +
//load ImageJ
// %classpa... | notebooks/1-Using-ImageJ/Ops/map.ipynb |
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import torch
import torch.nn as nn
import torch.nn... | notebooks/RMTPP.ipynb |
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# # Student Performance
# ## Introduction
#
# This no... | Student Performance.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Bib_Racer.ipynb |
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# # Svenskt Kvinnobiografiskt lexikon part 1
# version... | Svenskt Kvinnobiografiskt lexikon.ipynb |
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# + [markdown] id="xH6t9Bj1DFy3" colab_type="text"
# # BERT NER
# [Model file... | playground/BERT_NER_v1.ipynb |
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import os
import pandas as pd
# %matplotlib inline
fr... | Resources/resource_notebooks/.ipynb_checkpoints/crypto_sentiment-checkpoint.ipynb |
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# ### Sending Exceptions to Generators
# So far we ha... | dd_1/Part 2/Section 12 - Generator Based Coroutines/06 - Sending Exceptions to Generators.ipynb |
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# + [markdown] deletable=false editable=false
# # ibm_... | python_samples/Jupyter_Notebooks/ibm_db-createdb.ipynb |
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# +
import regex
import tarfile
from pprin... | lab1/Regex.ipynb |
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# !pip install chart_studio
# + _uuid="8f2839f25d086a... | Exploratory Data Analysis.ipynb |
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# # Drawing Conclusions Using Query
# Load 'winequali... | 2_Intro_to_data_analysis/Data_Analysis_Case_study_1/Quizes/conclusions_query.ipynb |
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# # Word2Vec SAT
# Load the SAT analogies data and th... | files/sat2vec/Word2Vec SAT.ipynb |
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# + [markdown] pycharm={}
# ## Method for building hid... | 6_optimazation/4_activation_and_initialization.ipynb |
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# # Neural Processes - PyTorch implementation
# **N.B... | Code/Garbage collector/pytorch_play.ipynb |
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# +
from __future__ import print_function
import os, t... | ExtractFeaturesFromBlocksSlices.ipynb |
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import warnings
warnings.filterwarnings('ignore')
impo... | Part B - RecurrentNeuralNetwork.ipynb |
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import pandas as pd
import numpy as np
import logg... | collaborative_filtering.ipynb |
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# [Table of Contents](./table_of_contents.ipynb)
# # ... | 00-Preface.ipynb |
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import math
import numpy as np
#import h5py
import mat... | OLD/CNN_1D_v3.ipynb |
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# ## Juntando Dataframes
# +
# Criando dois dataframe... | Semana 3/Semana 3.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | deep_learning/multi_label/fasttext.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | ParseTelstraPDF.ipynb |
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from polars import DataFrame, Series
import pandas as ... | py-polars/examples/small_intro.ipynb |
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# + pycharm={"is_executing": false}
import gc
import t... | Python/tensorflow/trainer_single_task.ipynb |
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# # Examples showing importance of zero-stability
#
#
... | notebooks/ZeroStability.ipynb |
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# # Now You Code 2: Character Frequency
#
# Write a pr... | content/lessons/10/Now-You-Code/NYC2-Character-Frequency.ipynb |
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# # Contributing a model to the Kipoi model re... | 4-add-new-models/adding_new_models.ipynb |
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# +
# %load_ext autoreload
# %autoreload 2
import os
... | notebooks/Linear_on_rhythm_features.ipynb |
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# + [markdown] id="TA21Jo5d9SVq"
#
#
# ![JohnSnowLabs](https://nlp.johnsnowla... | tutorials/streamlit_notebooks/NER_FewNERD.ipynb |
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# # Navigation
#
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#
# For this project, you will ... | Report.ipynb |
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# # Question 1 -- Convert hex to base64
# +
import co... | Assignment 4.ipynb |
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# # <NAME>
# ## Task 5: Exploratory Data Analysis - ... | Task 5.ipynb |
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# + [markdown] id="sH5RikVCeczA"
# # **ESRGAN with TF-GAN on TPU**
#
# ### **... | tensorflow_gan/examples/esrgan/colab_notebooks/ESRGAN_TPU.ipynb |
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# # LIST
# The list is a most versatile datatype avai... | Assignment-1 (Day 2 ).ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | projeto_final/fabio_mazza/Hipotese_Ws.ipynb |
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