code stringlengths 38 801k | repo_path stringlengths 6 263 |
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from pyphm.datasets.utils impor... | notebooks/scratch/airbus_download.ipynb |
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# # Odometry based on RANSAC matching of USIP keypoint... | USIP_RANSAC_odometry.ipynb |
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from random import*
def x(n):
L=[]
d=0
for... | simulation dun echantillon dune loi de probabilite.ipynb |
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# %reload_ext autoreload
# %autoreload 2
f... | test-numeric-x-axis.ipynb |
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# ## Observations and Insights
#
# +
# Dependencies... | Pymaceuticals/pymaceuticals.ipynb |
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#Chapter5-1
for i in range(5):
print('Hello W... | chapter5/program5-1.ipynb |
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# # Setting up Frameworks
# ### Spinning up :
# Framew... | Spinning Up in Deep RL/Introduction to the libraries.ipynb |
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# ## 1. Requirements
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import numpy as np
import js... | CW.ipynb |
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# + deletable=tru... | raster_fn/test_raster_fn.ipynb |
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# <h1 class = "exercise -... | projects/Analyzing Police Activity with pandas.ipynb |
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# # K-fold cross validation - Regression Model
# Based... | examples/kfold_cv/regression_example.ipynb |
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# %pylab inline
import hmmlearn, pomegranate, time, se... | notebooks/0.31-compare-sequence-models-bf/.ipynb_checkpoints/compare-pomegranite-hmmlearn-checkpoint.ipynb |
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import pandas as pd
import numpy as np
import seab... | QRes/main/continuous_time_identification (Navier-Stokes)/eval.ipynb |
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# # Similarity and Distance Metrics
#
# In this notebook we'll co... | course/similarity/02_similarity_metrics.ipynb |
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# ## Profiler - openclean_patt... | examples/Profiler - openclean-pattern.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Lab1.ipynb |
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# <a href="https://colab... | 05_Matplotlib.ipynb |
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# %matplotlib inline
import numpy as np
import matplot... | Example Differential dynamic microscopy.ipynb |
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# # Topic Analysis
# Do characters of different gender... | code/old_code/Topics_by_Gender.ipynb |
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# # Metrics
# <div style="position: absolute; right:0;... | tomef/metrics/metrics.ipynb |
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from obspy import read
import obspy
# %matplotlib inli... | notebooks/reading_sac.ipynb |
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# ### *Data Notebook for*
# # The BioFragment Database (BFDb): An Open-Data Platform for Computational Chemistry Analysis of Noncovalent Inte... | index.ipynb |
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# !pwd
# %matplotlib inline
# %reload_ext autoreload
#... | pycaret/xfeat/xfeat_titanic/titanic_xfeat.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | src/cliff_v01.ipynb |
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# [Jupyter](https://jupyter.readthedocs.io/en/latest/i... | tools/jupyter_console_tips.ipynb |
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# + [markdown] id="U2mGa66l7PRi"
# # Commit to Gitlab from Google Colab
#
#
... | codes/commit_from_google_colab.ipynb |
# -*- coding: utf-8 -*-
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# <!--NAVIGATION-->
# |... | Verstaendnisfragen_zu_Lektion_07_Dateiinhalte_finden_und_nutzen.ipynb |
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import pandas as pd
from micromort.data_stores.mysql i... | micromort/tweets_processing/geo_worry_analysis.ipynb |
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class treeNode:
def __init__(self, data):
... | 17 Generic Trees/17.06 Node with Largest Data.ipynb |
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# + [markdown] _cell_guid="19088ede-8fec-494e-bc1c-46a... | _docs/nbs/udacity-abtest.ipynb |
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# # Illustration for custom layer: Softmax_cosine_sim
... | 0_illustration_SoftmaxCosineSim.ipynb |
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# + [markdown] deletable=true editable=true
# # Boolea... | debug/.ipynb_checkpoints/interface_boolean_builder-checkpoint.ipynb |
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# # Cash Karp method & non-smooth problem
#
# The [Cas... | docs/Cash_Karp.ipynb |
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# # Bài tập MLP
# + [markdown] _cell_guid="e93323c0-07e0-6b2c-47d... | PRECEPTRON-MLP/4-Baitap-MLP-Titanic.ipynb |
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import pandas as pd
import numpy as np
import os, ... | Code/CD4SCENICPipeline.ipynb |
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# * Pandas is used for working with data s... | Pandas.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# [View in Colaboratory]... | EDXcourse600_2x.ipynb |
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# # Converting Feature Classes to Spatial Dataframes
#... | 02b-FeatureClass-to-SpatialDataFrame.ipynb |
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# ## Image Workflow
#
#
#
#
# +
# Libraries and varia... | image-processing/end-to-end-test.ipynb |
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# # Shuffle Two PyTorch Tensors the Same Way
# At tim... | _notebooks/2021-09-22-shuffle_two_pytorch_tensors_the_same_way.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | .ipynb_checkpoints/Setup_Script-checkpoint.ipynb |
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# + id="QaE-s9NJ7sN0"
import os
import pandas as pd
#i... | Notebook-Class-Assignment-Answers/.ipynb_checkpoints/Step-2-Describe-Data-Class-Assignment-checkpoint.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # 1... | Python Absolute Beginner/Module_1_1.2_Absolute_Beginner.ipynb |
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# %matplotlib inline
# %config InlineBackend.figur... | DataScience_Project1_Predict_products_sales_in_Walmart/DataScience_Project1_Tmin_Comparing_2018_06_27.ipynb |
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import os
import numpy as np
import matplotlib.pyp... | model/get_model_weight.ipynb |
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# ### Analysis of number of covid19 cases using ECDC d... | Data Analysis with Python/pandas_workshop-master/covid19/covid19_ecdc_problems.ipynb |
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# # AdaBoost
# Implementation of the AdaBoost algorit... | notebooks/AdaBoostM1.ipynb |
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import ... | scripts/transfer_top.ipynb |
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from sqlalchemy import create_engine
from sqlalch... | 2/Activities/02-Stu_SharkSearch/Unsolved/Stu_SharkSearch.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# ![G... | slides.ipynb |
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# # AI Lab-4
# # Data reading, analysis and visualizat... | lab-04-exercise.ipynb |
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# # This notebook tests the outputs of VESIcal to Magm... | manuscript/Supplement/JupyterNotebooks/MagmaSat/S5_Testing_Magmasat.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | Week3-Introduction-to-Open-Data-Importing-Data-and-Basic-Data-Wrangling/.ipynb_checkpoints/Week3-Introduction-to-Data-Manipulation-checkpoint.ipynb |
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import numpy as np
import matplotlib.... | Clock iTEBD.ipynb |
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# %run train_lstm.py -e 200 -l 0.01
# Trianing data o... | paleorec/author_code/training/.ipynb_checkpoints/run_training_lstm_author_data-checkpoint.ipynb |
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# # Programmazione orientata agli oggetti e Classi #
#... | 1.python base/8-Classi.ipynb |
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cells = positions in space that are referenced... | Broken_TwoNeighborSyncModels.ipynb |
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# + colab={} colab_type="code" id="jCIIG4e... | 2021 Осенний семестр/Практическое задание 2/Носова Задание 2.ipynb |
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# + [markdown] id="fsBajV7wnN4_" colab_type="text"
# # Hämta data
#
# Här imp... | lab1/marcus_cvjeticanin_lab1_5tf078.ipynb |
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math.sqrt(9)
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... | Symbolic-Computation.ipynb |
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# # Exercicio - Stiff Equations
# > <NAME><br>
# > Rep... | comp-cientifica-II-2019-2/Aulas/Stiff Equations.ipynb |
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# # H3 Python API
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import os
import sys
module_pat... | Usage.ipynb |
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# !pip install picsellia
from picsellia.client import Client
api_token = ""
project_token = ""
experiment_name = 'test-experiment'
experime... | Picsellia-Example.ipynb |
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# # *Final Assignment | <NAME>*
#
#
# ## D... | Programming_1/Final_Assignment/Final_Assignment_2021.ipynb |
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# ### ISO 281 Bearing Life Calculation Example
# ___
... | .ipynb_checkpoints/demo_notebook-checkpoint.ipynb |
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# + [markdown] id="EYCVmX_MKckA"
# ## Group 7
#
# - <NAME>
# - <NAME>
# - <NA... | Machine Learning/Week 1/Day4_ML_Employee Resign Prediction.ipynb |
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# ## Assignment
#
# 1. Start a clean notebook. Follow ... | module2-doing-linear-regression/Unit 2 Sprint 1 - Doing Linear Regression Assignment.ipynb |
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# # Assembling data.
import numpy as np
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# # Understanding the FFT Algorithm
# https://jakevdp... | code/fft/Understanding the FFT.ipynb |
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import numpy as np
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# # %load runNewFeaturesSA1.py
import ggcnn.experi... | src/runNewFeaturesSA1.ipynb |
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# # Excercises Electric Machinery Fundamentals
# ## Ch... | Chapman/Ch4-Problem_4-07.ipynb |
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# # Using the `split` method
#
# As explained before, `StorageCollection` subtypes have a `split` method that can be used.
#
# It is specially... | wordcount/04-split-usage.ipynb |
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print("hh")
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# # Pandas exercise
# # Problem 1
#
# Create a panda... | WEEK_1/.ipynb_checkpoints/PY_4_PANDAS-checkpoint.ipynb |
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# importing packages
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from Bio import SeqIO
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# ## Estimating broad-sense Heritability ($H^{2}$)
# Heritability is th... | limix1/Lecture-11-BroadSenseHeritability.ipynb |
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# + [markdown] id="Lf7huAiYp-An"
# ##### Copyright 2019 The TensorFlow Author... | site/ja/federated/tutorials/federated_learning_for_text_generation.ipynb |
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# # Python Flow Control: `for`, `while` loops
# ***
# ... | Week 3/ControlFlow_Loops_Student.ipynb |
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... | RoadSegmentor.ipynb |
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# # dask-awkward dev demo 2021/11/11
#
# -... | docs/examples/20211111.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | video_notebooks/04_transfer_learning_in_tensorflow_part_1_feature_extraction_video.ipynb |
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# # IMDB
# # Simple Baselines using ``mean`` and ``las... | notebooks_paper_2022/Baselines_v2/IMDB.ipynb |
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