code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# + id="umrcXKDkjCbI" colab_type="code" colab={}
import numpy as np
x = np.ar... | tensor_about.ipynb |
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import ensembles as en
import pandas as pd
import nump... | ensembles/Examples/Train Base Models/Train Base Models.ipynb |
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# # Framing
# We will aim to build a recommendation s... | #1 Framing.ipynb |
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# %load_ext a... | 3. Using WikiWho to analyze an editor in the context of a page.ipynb |
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# We will clean and analyze a dataset containing life ... | Life+Expectancy.ipynb |
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# ### Performance Analysis on Multi-Gpus
#
# * fix glo... | tools/tensorflow.ipynb |
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# + [markdown] id="wifzT3LIDtMr"
# Install this package to load the dataset d... | main.ipynb |
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import os
import re
import glob
import ite... | nei_v1.0.ipynb |
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import os
import random
import numpy as np
import pandas as pd
import xarray as xr
import seaborn as sns
sns.set_style('ticks')
from pathlib import Path
from matplotlib import pyplot as plt
from tqdm.autonotebook import tqdm
from sklearn.model_selection import train_test_split # Split data into train and t... | notebooks/04_ClassifyDuringSeason.ipynb |
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import os
import csv
import re
import tinys3
import js... | preprocess.ipynb |
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# [<img align="right" src="img/encoders.png" />](http:... | Unit 1/Encoders.ipynb |
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# #### 1. What is the main difference between RMSE and... | Coursera/Launching into Machine Learning/Week-1/Quiz/Module-Quiz-2.ipynb |
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# A Simple Pytorch Tutorial
# ======================
... | 01-intro-ner-pytorch/pytorch_tutorial.ipynb |
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import numpy as np
import pandas as pd
import csv
impo... | Mini-Project-1/aiddata-preprocessing.ipynb |
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# # Final Submission
# This file contains the code in... | code/code/final_submission.ipynb |
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import requests
import json
import pandas as pd
from d... | notebooks/github_api.ipynb |
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# # Reading and Writing Audio Files with audioread
#
#... | audio-files/audio-files-with-audioread.ipynb |
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import tensorflow as tf
import numpy as np
print(tf.v... | tf_intro.ipynb |
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import autograd.numpy as np
from autograd import g... | src/.ipynb_checkpoints/autograd_test-checkpoint.ipynb |
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# # Approximate nearest neighbor indexing
# We have u... | notebooks/ann_index.ipynb |
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from lale.lib.lale import ConcatFeatures
from lale.lib... | examples/demo_lifecycle_states.ipynb |
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# [← Back to Index](index.html)
# # About the CC... | about_ccrma_workshop.ipynb |
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"""VGG16 model for Keras.
# Reference - [Very Deep Con... | VGG16 from scratch.ipynb |
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# # ETL Pipeline Preparation
# Follow the instructions... | data/ETL Pipeline Preparation.ipynb |
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# # Resnet50
import numpy as n... | resnet50.ipynb |
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import numpy as np
import xarray as xr
import math... | notebooks/metric_gradient.ipynb |
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# # Chapter: Dimension Reduction and Latent Variable M... | Chapter_LatentVariable2/TEP_data_explore.ipynb |
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# <h1><big><center>Probabilistic Graphical Models - HW... | DM3 - Hidden Markov Models/code.ipynb |
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# ## Задание 1
# Найти вероятность выпадения 2 или 5 ... | homework06.ipynb |
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print('hello jupyter!')
import matplotli... | _docsorigin/_notebooks/hello.ipynb |
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# + [markdown] id="c2EecjXmQAiS"
# # piece-wise linear regression
# - toc:tru... | _notebooks/piece-wise linear regression.ipynb |
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# + pycharm={"name": "#%%\n"}
import sys, os, time
imp... | NiLBS/AMASSTest.ipynb |
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l = [2, 3, 5,5, 8, 11, 11, 12, 18]
search_for = 5
sl... | Chapter03/Exercise41/Exercise41.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Estudos_Prova1.ipynb |
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# + [markdown] id="XuGotEHtMTLh"
# # [Matplotlib. Урок 3.2. Настройка графико... | matplotlib/matplotlib_3_2.ipynb |
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# # Session 19: Tools for Big Data
# Today you will b... | material/session_18/exercises_week8.ipynb |
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# # Type piracy
Base.:+(a::Float64, b::Float64) =... | Julia/Notebooks/6. HPC/newjulia/4_Hackathon/type_piracy.ipynb |
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# ## Create Report Ready Phylogenetic Tree from Newick... | exercises/.ipynb_checkpoints/Jupyter-Ex4-checkpoint.ipynb |
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# Download data from OWID and generate dataset files w... | Data.ipynb |
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# # Open MRI Datasets
#
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#
# In this lesson, we w... | code/04-open-mri-datasets.ipynb |
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# # Documentation for SeisAcoustic
# ## Theory
... | docs/.ipynb_checkpoints/SeisAcoustic_documentation-checkpoint.ipynb |
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# This cell is added by sphinx-gallery
# !pip inst... | docs/notebooks/examples/2D_simulation(crystalline)/plot_5_COASTER_Rb2CrO4.ipynb |
# -*- coding: utf-8 -*-
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using Plots, Latexify, LaT... | TR1/TR1-Definitivo1.jl.assets/TR1-Definitivo.ipynb |
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# # Accuracy: Pitfalls and Edge Cases
#
# This noteboo... | analysis/accuracy_pitfalls.ipynb |
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#Import libraries
import pandas as pd
import matplotli... | Lecture_Notebooks/.ipynb_checkpoints/W3_Case_1_chckpnt-checkpoint.ipynb |
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# <h1>Hack the Law: Coding Basics for Law Students</h1... | .ipynb_checkpoints/hack-law-checkpoint.ipynb |
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# # SVM with Interactive User Inputs
#
#
#... | case_study5/svm.ipynb |
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#import os
#os.system('pip install --target=/kagg... | DeepLeraning/ResNet18-LSTM.ipynb |
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# # Facies classification using machine learning tec... | esaTeam/esa_Submission01b.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | Urban-Sound-Classification-master/Copy_of_Model_Training_Deep_Learning_6_labels.ipynb |
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# + [markdown] id="7mkvjuVD_RoK" colab_type="text"
# # Loading Postgresql Dat... | notebooks/Loading_yelp_data_to_postgres.ipynb |
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import numpy as np
import pandas as pd
import os
impor... | group_robustness_fairness/omop/notebooks/create_cohort_tables.ipynb |
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# # Stock-Duration-To-Come-Back-From-Crisis
import sy... | .ipynb_checkpoints/Stock-Duration-To-Come-Back-From-Crisis-checkpoint.ipynb |
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# + id="3R4X7cw5xzGY" colab_type="code" colab={}
import tensorflow.keras as k... | projects/denoising.ipynb |
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# # Week 4. Case 2
# Cognitive Systems for Health Tec... | case2.ipynb |
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import trimesh
import numpy as np
# test on a sph... | examples/notebooks/trimesh/ray.ipynb |
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# title: "List comprehension and generator expressions"
# date: 2020-04-12T14:41:32+02:00
# author: "<NAME>"
# type: technical_note
# draft: false
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from os.path import join
import pandas as pd
from nump... | median_splits.ipynb |
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# + [markdown] id="M6Tv5H778CqV"
# The idea of this project is to take a data... | Proposal.ipynb |
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# + [markdown] id="m3PAEPRDRLA3" colab_type="text"
# # Support Vector Regress... | Machine Learning Algorithms/Section 2 - Regression/7. Model Evaluation and Selection/Model Selection Reference/support_vector_regression.ipynb |
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# # Chapte... | Chapters/Chapter 16 - Visualization and Statistics.ipynb |
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# + papermill={} tags=[]
print("We're good.")
# -
ass... | papermill/tests/notebooks/broken1.ipynb |
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# # Main KernelPyLogit Example
#
# The purpose of this... | examples/notebooks-kernel/Main PyKernelLogit Example.ipynb |
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import numpy as np
import pandas as pd
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# s1 = pd.... | script/submission/Mar_19/Ensemble.ipynb |
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# # Explore Pose Estimation with Mediapipe
#
# ## https://pypi.org/project/mediapipe/
#
# ## https://google.github.io/mediapipe/
# ### This i... | 05-Fall_Detection/02-Second_try-MediaPipe.ipynb |
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# # Assignment
# 1. Use pytorch to model class face recognition using the master_dataset.npz.
#
| advance/a32.ipynb |
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from tensorflow import keras
from tensorflow.keras... | .ipynb_checkpoints/temp10-checkpoint.ipynb |
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# #... | analyse_predict_student_version-1529.ipynb |
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# +
import glob
import pandas as pd
impo... | talk_5_notebooks_vs_scripts/notebooks_project_work/setup.ipynb |
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# + pycharm={"name": "#%%\n"}
import numpy as np
from ... | 11912725_Lab10.ipynb |
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# # Библиотека Pandas
# ## Data Frame
import pandas ... | Yandex data science/1/Week 2/pandas_dataframe.ipynb |
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while True:
shape=input('Choose a shape (triangle... | Basic_geometric_shape_calculator.ipynb |
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# # MARIO GAME
# ## Especificaciones
# - Cree un arc... | modulo2/Ejercicio1.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | notebooks/ghg-emissions/wri/wri-unfccc-mapping-json.ipynb |
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# + [markdown] deletable=true editable=true
# <h1> 2d.... | courses/machine_learning/deepdive/03_tensorflow/d_traineval.ipynb |
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# # 运用SVD进行图像压缩
# 导入相关包
import cv2
import numpy as np... | 9. Singular Value Decomposition/.ipynb_checkpoints/svd_compression-checkpoint.ipynb |
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# name: python36564bitpytorchp36conda14e9f2ec2c1644a58673c19be... | Code/Process_corpus.ipynb |
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from fastai.vision import *
from fastai.metrics import... | ml_train/context_classifier/models/fa_m0.ipynb |
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# # Writting coffea Schema files
#
# The interpretati... | notebooks/coffeaschema.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | Feed forward neural netwrok.ipynb |
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# # Dis... | research_notebook/content/notes/kernels/notebooks/.ipynb_checkpoints/distances-checkpoint.ipynb |
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# +
#Py Academy Key Metrics
# +
#intializing data
im... | pyschool.ipynb |
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# + [markdown] papermill={"duration": 0.060522, "end_t... | notebooks/evaluation/adware_versus_benign.ipynb |
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# ## fetch domains for hypothetical proteins from PFAM... | mbovis_annotation/pfam.ipynb |
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messages = [line.rstrip() for line in open ('SMSSpamCo... | Lecture- NLP_Natural Language Processing.ipynb |
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# # Show the use of the Roots module for findi... | notebooks/Julia Functionality/Roots Function.ipynb |
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# # Replication
#
# This notebook replicates exactly t... | src/Replicate.ipynb |
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# ### Undefined behavior
# Что такое C++ abstract mac... | 2021/sem2/lecture_9_undefined_behavior/lecture.ipynb |
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# + [markdown] colab_type="text" id="aO-7t1Y7-hV4"
# #... | MonocularDepthEstimation/savednotebooks/A15-B.ipynb |
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# # 4. Transformation and Selection
#
# In the previou... | 04_select.ipynb |
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# Base Imports
import sqlite3
import pandas as pd
... | src/exploratory_data_analysis/chance/python/Exploratory_Data_Analysis.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | notebooks/filter_inspect.ipynb |
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# + [markdown] id="4cf5a898"
# # 1) Set up
# + colab=... | notebooks/.ipynb_checkpoints/CO_train_encoder_univariate-checkpoint.ipynb |
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# # TensorFlow Tutorial #21
# # Machine Translation
#
... | 21_Machine_Translation.ipynb |
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# This notebook is a brief sketch of how to use Grover... | examples/GroversAlgorithm.ipynb |
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# # Assignment 2: Working... | assignments/assignment2/Word_embeddings.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | notebooks/inspect nelder mead results.ipynb |
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# <div style="text-align: center; font-size: 20p... | notebooks/stats216v/hw-4-gyuho.ipynb |
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# # 2A.ml - Statistiques descriptives avec scikit-lear... | _unittests/ut_helpgen/notebooks/td2a_cenonce_session_3A.ipynb |